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Data Scientist
  • Brighton
  • £400.00 - £550.00 per day
    • Contract
  • 10 Mar 2020
Data Scientist

Role Overview

Data scientists explore data using innovative statistical, analytical and machine learning approaches to provide actionable insights which will help create new, high-value customer propositions.

The data scientist will be responsible for creating and incrementally improving data products, focused on particular customer outcomes, during the early discovery and design phases. Being a key member of an agile product team, the junior data scientist will closely collaborate with business domain experts to understand raw data and its business context then apply data science techniques to develop valuable, actionable insights, algorithms or models which will be tested with customers.

The data scientist will be comfortable in applying data science techniques such as data mining, statistical and cluster analysis to large data sets using cloud computing resources, big data frameworks and open-source packages. They will understand both the theory and have practical experience building accurate predictive models using a range of machine learning algorithms (e.g. regression, decision tree, k-means).

The successful candidate will be able to effectively communicate complex, technical information to non-technical stakeholders. Where necessary the role would include on-the-job training and coaching from experienced data scientists in the team and begin a development path to becoming a future technical leader.

Responsibilities:

*Set up an exploratory environment, join multiple large data sets (weather, demographic, sensor) to enable an in depth understanding of energy use in 100'000's homes
*Generate statistics, clusters and insights about the customer group to help direct future data enabled products and services
*Help prioritise the products and services and use data to support these decisions
*Build models, algorithms or novel approaches to automating data enabled products and services for customers, track the impact of these services to support iterative development
*Build relationships with the wider data science community in BlueLab and EDF Energy
*Support the industrialisation of models and algorithms from R&D

Principal Accountabilities:

*Apply scientific methods through experimental design, exploratory data analysis and hypothesis testing
*Lead on the technical solutions for proof-of-concept projects, experiments and trials using advanced analytics and machine learning
*Understand the business drivers of use cases and helping to confirm the appropriateness of data science techniques in developing solutions
*Scrape, explore, cleanse and visualise big datasets using leading tools and technologies
*Engineer new features for models from raw data
*Demonstrate best practice programming and code optimisation using Python
*Develop predictive and prescriptive models which utilise supervised or unsupervised machine learning algorithms
*Deliver actionable insights which provide positive commercial impact to the wider Customers Business Unit
*Document and communicate findings from analysis to key stakeholders within the organisation
*Contribute to the wider Customer Data Science community by sharing knowledge, experience ideas and findings
*Continually develop technical capabilities through on-the-job coaching and mentorship from more experienced data scientists in the team
*Drive the Trust agenda forward by ensuring that all decisions affecting customers meet the Trust Test, deliver the desired customer outcomes and provide customers with the ability to make informed choices

Knowledge, Skills, Qualifications & Experience:

Essential:
*Strong understanding of applied maths, statistics, data mining techniques and algorithms
*Good programming knowledge in SQL, Python or other advanced programming languages
*Experience with big data framework such as Hadoop or Spark
*Highly experienced with cloud computing environments (AWS)
*Familiarity with Jupyter notebooks
*Knowledge of schema, technical tables and application logic for SAP ERP systems (particularly SAP CRM and SAP ISU)
*Skilled in extracting, transforming, wrangling and cleansing large datasets for the purposes of data analysis
*Proven work experience in designing and building accurate predictive and prescriptive models
*Skilled in applying appropriate machine learning algorithms across a range of problems including both structured and unstructured data
*Skilled in creating compelling data visualisation to communicate complex analytical findings
*Ability to inform and influence, and to drive awareness of the benefits of data analytics
*Customer mindset with focus on delivering high quality analysis on time
*Able to effectively communicate complex, technical information to non-technical stakeholders
*Able to proactively identify opportunities for data analysis to create value
*Analytical mind-set with positive attitude to problem solving
*Strong written and verbal communication skills
*Demonstrated ability and flexibility to work in a fast paced and demanding environment
*Transparent and open in their approach and willing to continually improve through acting on constructive feedback
Critical thinker who is willing to use evidence to challenge prevailing systems and processes
*Experience and knowledge of key functions of an energy supplier (e.g. customer services, digital channels, sales & marketing, debt recovery, commercial strategy or finance)

Desirable:
*Highly experienced with cloud computing environments (AWS)
*Experience in cutting edge analytical techniques including deep learning algorithms, neural networks and natural language processing
*Ability to implement novel analytical techniques
*Experience of agile working practices and managing agile projects (Scrum, Kanban)
*Open minded and flexible approach to problem solving - questions currently accepted approaches

Essential qualifications & Experience:
*An academic background in statistics, applied mathematics, computer science, engineering or physical sciences

Data Scientist
  • Brighton
  • £400.00 - £550.00 per day
    • Contract
  • 10 Mar 2020
Data Scientist

Role Overview

Data scientists explore data using innovative statistical, analytical and machine learning approaches to provide actionable insights which will help create new, high-value customer propositions.

The data scientist will be responsible for creating and incrementally improving data products, focused on particular customer outcomes, during the early discovery and design phases. Being a key member of an agile product team, the junior data scientist will closely collaborate with business domain experts to understand raw data and its business context then apply data science techniques to develop valuable, actionable insights, algorithms or models which will be tested with customers.

The data scientist will be comfortable in applying data science techniques such as data mining, statistical and cluster analysis to large data sets using cloud computing resources, big data frameworks and open-source packages. They will understand both the theory and have practical experience building accurate predictive models using a range of machine learning algorithms (e.g. regression, decision tree, k-means).

The successful candidate will be able to effectively communicate complex, technical information to non-technical stakeholders. Where necessary the role would include on-the-job training and coaching from experienced data scientists in the team and begin a development path to becoming a future technical leader.

Responsibilities:

*Set up an exploratory environment, join multiple large data sets (weather, demographic, sensor) to enable an in depth understanding of energy use in 100'000's homes
*Generate statistics, clusters and insights about the customer group to help direct future data enabled products and services
*Help prioritise the products and services and use data to support these decisions
*Build models, algorithms or novel approaches to automating data enabled products and services for customers, track the impact of these services to support iterative development
*Build relationships with the wider data science community in BlueLab and EDF Energy
*Support the industrialisation of models and algorithms from R&D

Principal Accountabilities:

*Apply scientific methods through experimental design, exploratory data analysis and hypothesis testing
*Lead on the technical solutions for proof-of-concept projects, experiments and trials using advanced analytics and machine learning
*Understand the business drivers of use cases and helping to confirm the appropriateness of data science techniques in developing solutions
*Scrape, explore, cleanse and visualise big datasets using leading tools and technologies
*Engineer new features for models from raw data
*Demonstrate best practice programming and code optimisation using Python
*Develop predictive and prescriptive models which utilise supervised or unsupervised machine learning algorithms
*Deliver actionable insights which provide positive commercial impact to the wider Customers Business Unit
*Document and communicate findings from analysis to key stakeholders within the organisation
*Contribute to the wider Customer Data Science community by sharing knowledge, experience ideas and findings
*Continually develop technical capabilities through on-the-job coaching and mentorship from more experienced data scientists in the team
*Drive the Trust agenda forward by ensuring that all decisions affecting customers meet the Trust Test, deliver the desired customer outcomes and provide customers with the ability to make informed choices

Knowledge, Skills, Qualifications & Experience:

Essential:
*Strong understanding of applied maths, statistics, data mining techniques and algorithms
*Good programming knowledge in SQL, Python or other advanced programming languages
*Experience with big data framework such as Hadoop or Spark
*Highly experienced with cloud computing environments (AWS)
*Familiarity with Jupyter notebooks
*Knowledge of schema, technical tables and application logic for SAP ERP systems (particularly SAP CRM and SAP ISU)
*Skilled in extracting, transforming, wrangling and cleansing large datasets for the purposes of data analysis
*Proven work experience in designing and building accurate predictive and prescriptive models
*Skilled in applying appropriate machine learning algorithms across a range of problems including both structured and unstructured data
*Skilled in creating compelling data visualisation to communicate complex analytical findings
*Ability to inform and influence, and to drive awareness of the benefits of data analytics
*Customer mindset with focus on delivering high quality analysis on time
*Able to effectively communicate complex, technical information to non-technical stakeholders
*Able to proactively identify opportunities for data analysis to create value
*Analytical mind-set with positive attitude to problem solving
*Strong written and verbal communication skills
*Demonstrated ability and flexibility to work in a fast paced and demanding environment
*Transparent and open in their approach and willing to continually improve through acting on constructive feedback
Critical thinker who is willing to use evidence to challenge prevailing systems and processes
*Experience and knowledge of key functions of an energy supplier (e.g. customer services, digital channels, sales & marketing, debt recovery, commercial strategy or finance)

Desirable:
*Highly experienced with cloud computing environments (AWS)
*Experience in cutting edge analytical techniques including deep learning algorithms, neural networks and natural language processing
*Ability to implement novel analytical techniques
*Experience of agile working practices and managing agile projects (Scrum, Kanban)
*Open minded and flexible approach to problem solving - questions currently accepted approaches

Essential qualifications & Experience:
*An academic background in statistics, applied mathematics, computer science, engineering or physical sciences

Senior Data Engineer
  • Edinburgh
  • £0.00 - £60,000/annum Very good package
    • Permanent
  • 09 Mar 2020
Senior Data Engineer (Edinburgh)
Head Resourcing are delighted to be recruiting for an experienced Senior Data Engineer for a technically forward-thinking organisation in Edinburgh city centre. This a permanent role for a skilled individual to add to a growing team of data experts. This addition to the team will be responsible for expanding and optimising the flow of data and collection across several cross-functional teams. As a new and exciting area of expansion, I would love to talk to candidates with experience of data pipeline builder and who enjoy optimising data systems. This role is pivotal to supporting the software engineers, Database architects and data analysts on the initiatives around consistent data architecture whilst optimising and designing the next generations of products and data initiatives for the cloud. A mandate across the business is to support and fund cloud (AWS) certification.


Key Activities
* Expertise in Amazon Elastic Compute Cloud (EC2), AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, and Amazon Redshift. Also related Database technologies such as Postgres, MySQL and SQL Server.
* Work with our internal engineering teams to convey needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
* Drive business outcomes through agile principals while and working in a sprint-based manner.
Required Skills
* Experience of Big Data solutions implementation in a highly technical and analytical role.
* Track record of thinking strategically about business, product, and technical challenges whilst designing and delivering innovating solutions in an enterprise environment.
* Experience with massively-parallel-processing (MPP) models, real-time processing and analytics, data ingestion (batched and streamed) and data storage solutions.
* Experience with DevOps related tooling constructs (Infrastructure as Code, CI/CD)
* Familiarity with Hadoop/EMR/Spark ecosystem and associated technologies and processes.
* Experience developing and testing software in one or more programming languages (JavaScript/TypeScript, Python)
Desirable Skills
* Hands on experience leading large-scale global data warehousing and analytics projects.
* Deep understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development.
* Demonstrated industry leadership in the fields of database, data warehousing or data sciences.
* Implementation and tuning experience of Big Data solutions specifically using Amazon Web Services.
* Track record of implementing AWS services in a variety of distributed computing, enterprise environments.

Senior Data Engineer
  • Edinburgh
  • £0.00 - £60,000/annum Very good package
    • Permanent
  • 09 Mar 2020
Senior Data Engineer (Edinburgh)
Head Resourcing are delighted to be recruiting for an experienced Senior Data Engineer for a technically forward-thinking organisation in Edinburgh city centre. This a permanent role for a skilled individual to add to a growing team of data experts. This addition to the team will be responsible for expanding and optimising the flow of data and collection across several cross-functional teams. As a new and exciting area of expansion, I would love to talk to candidates with experience of data pipeline builder and who enjoy optimising data systems. This role is pivotal to supporting the software engineers, Database architects and data analysts on the initiatives around consistent data architecture whilst optimising and designing the next generations of products and data initiatives for the cloud. A mandate across the business is to support and fund cloud (AWS) certification.


Key Activities
* Expertise in Amazon Elastic Compute Cloud (EC2), AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, and Amazon Redshift. Also related Database technologies such as Postgres, MySQL and SQL Server.
* Work with our internal engineering teams to convey needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
* Drive business outcomes through agile principals while and working in a sprint-based manner.
Required Skills
* Experience of Big Data solutions implementation in a highly technical and analytical role.
* Track record of thinking strategically about business, product, and technical challenges whilst designing and delivering innovating solutions in an enterprise environment.
* Experience with massively-parallel-processing (MPP) models, real-time processing and analytics, data ingestion (batched and streamed) and data storage solutions.
* Experience with DevOps related tooling constructs (Infrastructure as Code, CI/CD)
* Familiarity with Hadoop/EMR/Spark ecosystem and associated technologies and processes.
* Experience developing and testing software in one or more programming languages (JavaScript/TypeScript, Python)
Desirable Skills
* Hands on experience leading large-scale global data warehousing and analytics projects.
* Deep understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development.
* Demonstrated industry leadership in the fields of database, data warehousing or data sciences.
* Implementation and tuning experience of Big Data solutions specifically using Amazon Web Services.
* Track record of implementing AWS services in a variety of distributed computing, enterprise environments.

Group Data Manager
  • Leeds
  • Competitive
    • Permanent
  • 09 Mar 2020

We're Lowell. Haven't heard of us? Then let us say hello.

You may not know us, but our reputation's growing. We help our customers pay off their debts in practical and affordable ways. And, we do it honestly, ethically, and without any confusing legal jargon. We're expanding quickly, and looking for people who really want to help our customers turn their finances around. People who really want to make a difference. People like you?

So that's us. let's talk about your role.

This role is fundamental to supporting the Group Data Management Strategy and Business Model ensuring that the Enterprise Data, has robust and relevant data policies, with a supporting Enterprise Data Architecture, the definition and development of information and data management framework for the protection and use of data assets, effective Data Governance, and clear 'meta data' models.

Strategic Direction Setting:

  • Leads the evolution of the Data Management function, ensuring the right capabilities, experience and skills are available to support the business strategic agenda including the coordination of an appropriately balanced pursuit of enterprise data management systems
  • Understands, advocates, and supports the enterprise's business and IT strategies
  • Working with the Business Data stewards ensures the clear ownership of the data definitions (meta data), data integrity and data architecture.
  • Support the business with the strategic monetization of data.
  • Understands, advocates, and supports the enterprise's business and IT strategies
  • Leads the identification and analysis of enterprise business drivers to derive enterprise data management and compliance with the EU Data Protection regulation (GDPR).
  • Analyzes industry, technology and academic trends to determine their potential impacts on the enterprise
  • In conjunction with the GCIO Leadership team supports the development of the IT Strategy, Enterprise Data Management and associated roadmaps.
  • Supports the due diligence related to M & A projects.
  • Evaluates 'Emerging Technologies' e.g. BIG DATA. Hadoop et al, and ensures there is a supporting Roadmap and makes recommendations for investigation and development of prototypes.

Functional Management

  • Ensures regular reviews/audits of the 'Data Quality', 'Data Integrity', 'Data Retention & Archiving'.
  • Monitors Regulatory compliance with enterprise data policies and educates business unit leaders and service managers on compliance efforts and reports/escalates any data breaches internally and where necessary to the regulators
  • Creates a data use and security awareness program to customize communication tools and campaigns for each business unit and services group
  • Monitor and maintain the quality of established enterprise master data across product and customer sources
  • Support and enable other IT and business teams responsible for management and support of master data
  • Understands the trade-offs required to manage the different levels of data risk tolerance and risk exposure across the organization and balance this with risk mitigation investment
  • Sets usage and access policies for information sharing on internal and external platforms
  • Understands the business view and develops mechanisms to proactively sense adoption and usage patterns of consumer technologies by end users, aligning policies with requirement.
  • Leads and facilitates the creation of governing principles to guide practical, secure and maintainable data management solutions for the enterprise
  • Create methodologies for converting enterprise data from legacy data models to new data models as needed
  • Guide business areas in identifying the data management skills and processes they need to proactively manage their data assets.
  • Establish master data management policies, standards, processes and procedures
  • Ensures that the optimal governance structure and compliance activities (such as handling waivers) are associated with information use and compliance

How do we say thank you?

You have a huge impact on our success and our rewards reflect this. With us you'll get:

  • A competitive salary and annual pay reviews
  • A annual bonus for a job well done
  • 3% flexible benefits; whether you're into fitness or extra holidays, there's something for you.

Want more?

  • Our on-site subsidised restaurants serve great food all day.
  • Cancel your gym membership we have one on site - it's free!
  • Free parking.
  • A fantastic culture with more little perks along the way.

Once you get here, you'll still be going places. We really want to work with you to make your career what you want it to be, so we offer a load of different opportunities to help you develop.

What do we need from you?

  • MBA or similar postgraduate business qualification
  • Experience leading an enterprise data management office
  • Demonstrated executive level competencies, specifically leadership and communication
  • Strong business acumen; understands the key financial drivers and dynamics related to growth and an organisations revenue goals
  • More than 6 years of leadership experience, including time managing shared services functions
  • Experience of leading high - performance teams towards the successful attainment of challenging goals
  • Knowledge of national and international regulatory compliances and frameworks such as ISO, SOX, BASEL II, EU DPD, HIPAA and PCI DSS

Take the next step and apply

Group Data Manager
  • Leeds
  • Competitive
    • Permanent
  • 09 Mar 2020

We're Lowell. Haven't heard of us? Then let us say hello.

You may not know us, but our reputation's growing. We help our customers pay off their debts in practical and affordable ways. And, we do it honestly, ethically, and without any confusing legal jargon. We're expanding quickly, and looking for people who really want to help our customers turn their finances around. People who really want to make a difference. People like you?

So that's us. let's talk about your role.

This role is fundamental to supporting the Group Data Management Strategy and Business Model ensuring that the Enterprise Data, has robust and relevant data policies, with a supporting Enterprise Data Architecture, the definition and development of information and data management framework for the protection and use of data assets, effective Data Governance, and clear 'meta data' models.

Strategic Direction Setting:

  • Leads the evolution of the Data Management function, ensuring the right capabilities, experience and skills are available to support the business strategic agenda including the coordination of an appropriately balanced pursuit of enterprise data management systems
  • Understands, advocates, and supports the enterprise's business and IT strategies
  • Working with the Business Data stewards ensures the clear ownership of the data definitions (meta data), data integrity and data architecture.
  • Support the business with the strategic monetization of data.
  • Understands, advocates, and supports the enterprise's business and IT strategies
  • Leads the identification and analysis of enterprise business drivers to derive enterprise data management and compliance with the EU Data Protection regulation (GDPR).
  • Analyzes industry, technology and academic trends to determine their potential impacts on the enterprise
  • In conjunction with the GCIO Leadership team supports the development of the IT Strategy, Enterprise Data Management and associated roadmaps.
  • Supports the due diligence related to M & A projects.
  • Evaluates 'Emerging Technologies' e.g. BIG DATA. Hadoop et al, and ensures there is a supporting Roadmap and makes recommendations for investigation and development of prototypes.

Functional Management

  • Ensures regular reviews/audits of the 'Data Quality', 'Data Integrity', 'Data Retention & Archiving'.
  • Monitors Regulatory compliance with enterprise data policies and educates business unit leaders and service managers on compliance efforts and reports/escalates any data breaches internally and where necessary to the regulators
  • Creates a data use and security awareness program to customize communication tools and campaigns for each business unit and services group
  • Monitor and maintain the quality of established enterprise master data across product and customer sources
  • Support and enable other IT and business teams responsible for management and support of master data
  • Understands the trade-offs required to manage the different levels of data risk tolerance and risk exposure across the organization and balance this with risk mitigation investment
  • Sets usage and access policies for information sharing on internal and external platforms
  • Understands the business view and develops mechanisms to proactively sense adoption and usage patterns of consumer technologies by end users, aligning policies with requirement.
  • Leads and facilitates the creation of governing principles to guide practical, secure and maintainable data management solutions for the enterprise
  • Create methodologies for converting enterprise data from legacy data models to new data models as needed
  • Guide business areas in identifying the data management skills and processes they need to proactively manage their data assets.
  • Establish master data management policies, standards, processes and procedures
  • Ensures that the optimal governance structure and compliance activities (such as handling waivers) are associated with information use and compliance

How do we say thank you?

You have a huge impact on our success and our rewards reflect this. With us you'll get:

  • A competitive salary and annual pay reviews
  • A annual bonus for a job well done
  • 3% flexible benefits; whether you're into fitness or extra holidays, there's something for you.

Want more?

  • Our on-site subsidised restaurants serve great food all day.
  • Cancel your gym membership we have one on site - it's free!
  • Free parking.
  • A fantastic culture with more little perks along the way.

Once you get here, you'll still be going places. We really want to work with you to make your career what you want it to be, so we offer a load of different opportunities to help you develop.

What do we need from you?

  • MBA or similar postgraduate business qualification
  • Experience leading an enterprise data management office
  • Demonstrated executive level competencies, specifically leadership and communication
  • Strong business acumen; understands the key financial drivers and dynamics related to growth and an organisations revenue goals
  • More than 6 years of leadership experience, including time managing shared services functions
  • Experience of leading high - performance teams towards the successful attainment of challenging goals
  • Knowledge of national and international regulatory compliances and frameworks such as ISO, SOX, BASEL II, EU DPD, HIPAA and PCI DSS

Take the next step and apply

Developer
  • Northampton
    • Permanent
  • 09 Mar 2020

Job Title Machine Learning SME
Location Northampton

The goal of Consumer Risk and Finance, Treasury and Liquidity team with CIO organisation is to ensure that we approach problems in a cross-functional manner and deliver sustainable solutions to support our data, technology and process transformations across Consumer Credit domain (BUK & BI). The business case and opportunity to simplify the Technology landscape, reduce the number of bespoke solutions, decommission legacy applications, harness our data to optimise the way the business utilises information is compelling and critical to the Firm’s regulatory and internal strategic objectives.

What will you be doing?


• Requirement study for arriving at set of data attributes/elements for Model Building (MRDs).
• Data analysis, mining and derivation of Model Data attributes.
• Define, Design and implement Machine Learning Flow
• Build a knowledge base of the application within the organization.
• Inputs to the functional document creation.
• Create solution as per Barclays standards
• Socialise solution with relevant stakeholders
• Oversee detailed design, build & testing activities
• Reviews & Sign-Off by Model Owner and EDA

What we’re looking for:


• Sound techno functional knowledge of Machine Learning and ML model implementation
• Sound knowledge and experience on ML Libraries (Python, DASK, LightGBM, SHAP, MMLSpark)
• Strong experience on Big Data and Hadoop Ecosystem
• Hands-on query tuning, optimization and rewriting to fetch humongous amount of data

Skills that will help you in the role:


• Credit Risk, Lending, Fraud Domain experience
• Hands-on Spark, Scala and R Language experience
• Ability to provide E2E solutions on Model Building, Training and Implementation

Where will you be working?


The Barclays Technology Campus, just outside Manchester, is our transatlantic tech command centre and one of the largest centres for information security in the UK. It’s the vital strategic powerhouse behind our global operations. Radbroke is a place where big ideas become world-leading realities. Where the best talent in the world can build careers full of scope, variety and reward, by creating the technical solutions that meet today’s demands, answer tomorrow’s questions and redefine the future of finance.


Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details.

Our Values


Everything we do is shaped by the five values of Respect, Integrity, Service, Excellence and Stewardship. Our values inform the foundations of our relationships with customers and clients, but they also shape how we measure and reward the performance of our colleagues. Simply put, success is not just about what you achieve, but about how you achieve it.

Our Diversity


We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our vision and goals.

Our Benefits


Our customers are unique. The same goes for our colleagues. That's why at Barclays we offer a range of benefits, allowing every colleague to choose the best options for their personal circumstances. These include a competitive salary and pension, health care and all the tools, technology and support to help you become the very best you can be. We are proud of our dynamic working options for colleagues. If you have a need for flexibility then please discuss this with us.

Developer
  • Northampton
    • Permanent
  • 09 Mar 2020

Job Title Machine Learning SME
Location Northampton

The goal of Consumer Risk and Finance, Treasury and Liquidity team with CIO organisation is to ensure that we approach problems in a cross-functional manner and deliver sustainable solutions to support our data, technology and process transformations across Consumer Credit domain (BUK & BI). The business case and opportunity to simplify the Technology landscape, reduce the number of bespoke solutions, decommission legacy applications, harness our data to optimise the way the business utilises information is compelling and critical to the Firm’s regulatory and internal strategic objectives.

What will you be doing?


• Requirement study for arriving at set of data attributes/elements for Model Building (MRDs).
• Data analysis, mining and derivation of Model Data attributes.
• Define, Design and implement Machine Learning Flow
• Build a knowledge base of the application within the organization.
• Inputs to the functional document creation.
• Create solution as per Barclays standards
• Socialise solution with relevant stakeholders
• Oversee detailed design, build & testing activities
• Reviews & Sign-Off by Model Owner and EDA

What we’re looking for:


• Sound techno functional knowledge of Machine Learning and ML model implementation
• Sound knowledge and experience on ML Libraries (Python, DASK, LightGBM, SHAP, MMLSpark)
• Strong experience on Big Data and Hadoop Ecosystem
• Hands-on query tuning, optimization and rewriting to fetch humongous amount of data

Skills that will help you in the role:


• Credit Risk, Lending, Fraud Domain experience
• Hands-on Spark, Scala and R Language experience
• Ability to provide E2E solutions on Model Building, Training and Implementation

Where will you be working?


The Barclays Technology Campus, just outside Manchester, is our transatlantic tech command centre and one of the largest centres for information security in the UK. It’s the vital strategic powerhouse behind our global operations. Radbroke is a place where big ideas become world-leading realities. Where the best talent in the world can build careers full of scope, variety and reward, by creating the technical solutions that meet today’s demands, answer tomorrow’s questions and redefine the future of finance.


Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details.

Our Values


Everything we do is shaped by the five values of Respect, Integrity, Service, Excellence and Stewardship. Our values inform the foundations of our relationships with customers and clients, but they also shape how we measure and reward the performance of our colleagues. Simply put, success is not just about what you achieve, but about how you achieve it.

Our Diversity


We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our vision and goals.

Our Benefits


Our customers are unique. The same goes for our colleagues. That's why at Barclays we offer a range of benefits, allowing every colleague to choose the best options for their personal circumstances. These include a competitive salary and pension, health care and all the tools, technology and support to help you become the very best you can be. We are proud of our dynamic working options for colleagues. If you have a need for flexibility then please discuss this with us.

Lead Cloud Engineer - GBM-IT Surveillance Technology
  • Europe-United Kingdom-Greater London-London
  • 09 Mar 2020
Lead Cloud Engineer - GBM-IT Surveillance Technology : 0000E907 

Description

 

Lead Cloud Engineer (GBM-IT Surveillance Technology)

 

Big Bank Funding. FinTech Thinking.

Our technology teams in the UK work closely with HSBC’s global businesses to help design and build digital services that allow our millions of customers around the world, to bank quickly, simply and securely. We also run and manage our IT infrastructure, data centres and core banking systems that power the world’s leading international bank.

Our multi-disciplined teams include: DevOps engineers, IT architects, front and back end developers, infrastructure specialists, cyber experts, as well as project and programme managers.

 

We work in small, agile DevOps teams with colleagues around the world from our offices at the Bluefin Building in Southwark, our global headquarters in Canary Wharf, and multiple other locations around the UK including Sheffield, Leeds, Barnsley and Birmingham.

 

Following extensive investment across our Technology and Digital domains and with plans for continued expansion throughout 2020 and beyond, we are currently seeking a number of experienced Lead Cloud Engineers to join HSBC Technology.

 
GECS Tooling Replacement (GTR)

The Dataminder product which is the core of our current electronic surveillance * capability is being discontinued by Computer Associates by June 2019. There is a project underway concerned with the deployment and subsequent provisioning of the replacement – Digital Reasoning’s Conduct Surveillance which is a cloud native ML/AI platform. Initially the HSBC eComms Surveillance technical role will be to support the Digital Reasoning team by provide Infrastructure on-demand with auto-scaling orchestration to deliver a cost effective platform in a cloud environment. Over time this will evolve to shape the roadmap for our vendor migrating from IaaS to PaaS for many of the underlying components. The candidate will be involved with the project leveraging numerous cloud components from CI/CD, Storage, Messaging and Big Data among other suitable tooling. Within this project it will also be within the candidates remit to complete the continuous compute platform – RAGE that will enable teams to leverage IaaS and be compliant with HSBC Cloud Service Provider data centres.

 
What you will be doing;
  • Drive the technical architecture and shape up the evolving technical stack in partnership with other technical leads – setting directions for all aspects of technology practice for the Cloud environments
  • Provide technical leadership and assumes overall accountability for a successful implementation phase of the project. Overseeing back end and front end web developers, ensuring solutions are properly architected and specified, and partners with the project manager to ensure quality.
  • Participates in pre-project business development activities including writing proposals, developing price estimates, and delivering pitches for new work.
  • Implement best-of-breed technical solutions based on agreed technical design, adopting industry standard development patterns and methodologies (including continuous integration and automated unit and integration testing)
 

Understand, follow and demonstrate compliance with all relevant internal and external rules, regulations and procedures that apply to the conduct of the business in which you are involved, specifically Internal Controls and any Compliance policy including, inter alia, the Group Compliance policy. Maintain HSBC Internal Control standards, including the timely implementation of internal and external audit points together with any issues raised by external regulators. Be aware of the Operational Risk scenario associated with your role and act in a manner that takes account of operational risk considerations.


 

Qualifications

 

What you will bring to the role; 

 

To be successful in this role you should have proven experience within the Technology sector with knowledge of the following skills:

 
  • Extensive experience in Software development – particularly hands-on experience in Java including proven experience of spring-boot and the wider framework(s) including but not limited to Messaging/Data/Core/batch/Security modules.
  • Good knowledge of web development (Java EE, HTML, JS & CSS) and frameworks integrating with Java/Rest services – React & Redux, Material-UI, Apache httpd, Mellon & SAML
  • Demonstrable experience in microservice based architecture.
  • Strong knowledge of Cloud Service Providers – preferably GCP and be able to manage the following components: Google Compute Engine, Google Cloud Storage, Google CloudSQL, Stackdriver, Google Load Balancing, Airflow, Elasticsearch, MySQL, JMeter
  • Strong knowledge of Rest-API, Messaging, Multi-Threading, XML, JSON and Similar Web technologies.
  • Hands on experience in Elastic, Hadoop, RDBMS.
  • Experience in Scripting Python, Bash.
  • Strong understanding of CD/CI – Jenkins, Ansible (with cloud APIs)
  • Proven experience as a strong, inspiring, technical leader/motivator, able to “take the team with you”
  • Detailed knowledge of communication surveillance domain, including implementing large scale, global solutions in tier 1 investment banks.
  • Conduct and Surveillance industry expertise
  • Front Office Trading & Sales environments
  • Proven ability to communicate with front office users
 
Bonus points for
  • Agile Methodology–Kanban
  • Software Development -TDD/BDD
  • Exposure to containerization technologies
  • Experience in DevOps tooling
 

These roles will primarily be London based at our Head Office in Canary Wharf and at our cutting edge Technology Centre in the Bluefin building, Southwark but some travel may be required.


Come Power a Business that Defines How to Power the World

As a business operating in markets all around the world, we believe diversity brings benefits for our customers, our business and our people. This is why HSBC UK is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. 

 

We want everyone to be able to fulfil their potential which is why we provide a range of flexible working arrangements and family friendly policies.

 

As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.

 

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

 

 

Job Field

 : Technology

Primary Location

 : Europe-United Kingdom-Greater London-London

Schedule

 : Full-time 

Shift

 : Day Job
Type of Vacancy : Global vacancy

Job Posting

 : 09-Mar-2020, 14:21:24 

Unposting Date

 : 14-Mar-2020, 23:59:00

Lead Cloud Engineer - GBM-IT Surveillance Technology
  • Europe-United Kingdom-Greater London-London
  • 09 Mar 2020
Lead Cloud Engineer - GBM-IT Surveillance Technology : 0000E907 

Description

 

Lead Cloud Engineer (GBM-IT Surveillance Technology)

 

Big Bank Funding. FinTech Thinking.

Our technology teams in the UK work closely with HSBC’s global businesses to help design and build digital services that allow our millions of customers around the world, to bank quickly, simply and securely. We also run and manage our IT infrastructure, data centres and core banking systems that power the world’s leading international bank.

Our multi-disciplined teams include: DevOps engineers, IT architects, front and back end developers, infrastructure specialists, cyber experts, as well as project and programme managers.

 

We work in small, agile DevOps teams with colleagues around the world from our offices at the Bluefin Building in Southwark, our global headquarters in Canary Wharf, and multiple other locations around the UK including Sheffield, Leeds, Barnsley and Birmingham.

 

Following extensive investment across our Technology and Digital domains and with plans for continued expansion throughout 2020 and beyond, we are currently seeking a number of experienced Lead Cloud Engineers to join HSBC Technology.

 
GECS Tooling Replacement (GTR)

The Dataminder product which is the core of our current electronic surveillance * capability is being discontinued by Computer Associates by June 2019. There is a project underway concerned with the deployment and subsequent provisioning of the replacement – Digital Reasoning’s Conduct Surveillance which is a cloud native ML/AI platform. Initially the HSBC eComms Surveillance technical role will be to support the Digital Reasoning team by provide Infrastructure on-demand with auto-scaling orchestration to deliver a cost effective platform in a cloud environment. Over time this will evolve to shape the roadmap for our vendor migrating from IaaS to PaaS for many of the underlying components. The candidate will be involved with the project leveraging numerous cloud components from CI/CD, Storage, Messaging and Big Data among other suitable tooling. Within this project it will also be within the candidates remit to complete the continuous compute platform – RAGE that will enable teams to leverage IaaS and be compliant with HSBC Cloud Service Provider data centres.

 
What you will be doing;
  • Drive the technical architecture and shape up the evolving technical stack in partnership with other technical leads – setting directions for all aspects of technology practice for the Cloud environments
  • Provide technical leadership and assumes overall accountability for a successful implementation phase of the project. Overseeing back end and front end web developers, ensuring solutions are properly architected and specified, and partners with the project manager to ensure quality.
  • Participates in pre-project business development activities including writing proposals, developing price estimates, and delivering pitches for new work.
  • Implement best-of-breed technical solutions based on agreed technical design, adopting industry standard development patterns and methodologies (including continuous integration and automated unit and integration testing)
 

Understand, follow and demonstrate compliance with all relevant internal and external rules, regulations and procedures that apply to the conduct of the business in which you are involved, specifically Internal Controls and any Compliance policy including, inter alia, the Group Compliance policy. Maintain HSBC Internal Control standards, including the timely implementation of internal and external audit points together with any issues raised by external regulators. Be aware of the Operational Risk scenario associated with your role and act in a manner that takes account of operational risk considerations.


 

Qualifications

 

What you will bring to the role; 

 

To be successful in this role you should have proven experience within the Technology sector with knowledge of the following skills:

 
  • Extensive experience in Software development – particularly hands-on experience in Java including proven experience of spring-boot and the wider framework(s) including but not limited to Messaging/Data/Core/batch/Security modules.
  • Good knowledge of web development (Java EE, HTML, JS & CSS) and frameworks integrating with Java/Rest services – React & Redux, Material-UI, Apache httpd, Mellon & SAML
  • Demonstrable experience in microservice based architecture.
  • Strong knowledge of Cloud Service Providers – preferably GCP and be able to manage the following components: Google Compute Engine, Google Cloud Storage, Google CloudSQL, Stackdriver, Google Load Balancing, Airflow, Elasticsearch, MySQL, JMeter
  • Strong knowledge of Rest-API, Messaging, Multi-Threading, XML, JSON and Similar Web technologies.
  • Hands on experience in Elastic, Hadoop, RDBMS.
  • Experience in Scripting Python, Bash.
  • Strong understanding of CD/CI – Jenkins, Ansible (with cloud APIs)
  • Proven experience as a strong, inspiring, technical leader/motivator, able to “take the team with you”
  • Detailed knowledge of communication surveillance domain, including implementing large scale, global solutions in tier 1 investment banks.
  • Conduct and Surveillance industry expertise
  • Front Office Trading & Sales environments
  • Proven ability to communicate with front office users
 
Bonus points for
  • Agile Methodology–Kanban
  • Software Development -TDD/BDD
  • Exposure to containerization technologies
  • Experience in DevOps tooling
 

These roles will primarily be London based at our Head Office in Canary Wharf and at our cutting edge Technology Centre in the Bluefin building, Southwark but some travel may be required.


Come Power a Business that Defines How to Power the World

As a business operating in markets all around the world, we believe diversity brings benefits for our customers, our business and our people. This is why HSBC UK is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. 

 

We want everyone to be able to fulfil their potential which is why we provide a range of flexible working arrangements and family friendly policies.

 

As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.

 

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

 

 

Job Field

 : Technology

Primary Location

 : Europe-United Kingdom-Greater London-London

Schedule

 : Full-time 

Shift

 : Day Job
Type of Vacancy : Global vacancy

Job Posting

 : 09-Mar-2020, 14:21:24 

Unposting Date

 : 14-Mar-2020, 23:59:00