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SRE SDLC and Automation – VP
  • Glasgow
  • 03 Mar 2020

 

Job Description

 

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.5 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

 

Description

 

JPMC is looking to develop a core set of set of data management capabilities to drive consistency across each line of business. This data platform will be deployed on premise and longer term in the public cloud. The initial focus is on sourcing, storing, enriching and making available information to supporting internal management reporting, external regulatory reporting, as well as machine learning and other data analysis applications.

We are seeking an experienced software engineering lead in our global Site Reliability Engineering (SRE) team supporting our Big Data platform. This individual will be expected to lead a team of software engineers who will grow into subject manage experts, work with functional application development teams, partner with infrastructure engineers and production support analysts to determine requirements for designing and developing automation, SDLC and development environment testing & integration tools.  The toolsets developed must pass the rigour of JPMC’s cyber security standards.

The SRE team runs, maintains and improves the Big Data Platform against established Service Level Objectives by applying software engineering practices. It is responsible for the availability, performance, change management, monitoring, and capacity management of their services, with special emphasis being placed on the automation of the processes/workload in support of the above. The SRE team is also responsible for the operational support of the Big Data infrastructure, with emphasis being placed on the ability to submit outage/issue/incident data into a design and SDLC feedback loop to ensure maximum automation and outage avoidance.

 Key responsibilities this role would include:


  • Develop, test and deliver the software to automate manual operational work and ensure application performance and resiliency
  • Key contributor to SRE and functional development teams throughout the life cycle to help create software for reliability and scale, ensuring minimal refactoring or changes
  • Troubleshoot incidents, participate in blameless post-mortems and ensure permanent closure of the incidents
  • Identify application patterns and analytics in support of better service level objectives
  • Analyze self-healing and resiliency patterns and contribute to software which can use these outcomes
  • Conduct the performance tests, identify the bottlenecks, opportunities for optimization and capacity demand
  • Implement best in class monitoring frameworks to accomplish end to end flow monitoring and noiseless alerting
  • Test and implement automated software and product upgrades, change management and release management solutions
  • Engage with Technology Controls organization to ensure tooling and ecosystem meets the Firm’s rigorous cyber policies
  • Contribute to Firm level SRE community via engineering projects
  • Be part of the 24x7 support coverage as needed

When you work at JPMorgan Chase & Co., you’re not just working at a global financial institution. You’re an integral part of one of the world’s biggest tech companies. In 14 technology hubs worldwide, our team of 40,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $9.5B+ annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the world. 
                                                                                                             
At JPMorgan Chase & Co. we value the unique skills of every employee, and we’re building a technology organization that thrives on diversity.  We encourage professional growth and career development, and offer competitive benefits and compensation.  If you’re looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you. 
 
JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.

This role requires a wide variety of strengths and capabilities, including:

  • Bachelor’s Degree in Computer Science, Engineering or Business
  • Prior experience in DevOps and/or application development teams
  • Excellent debugging and trouble shooting skills
  • Hands on experience using large scale software development, preferably in one of these languages: Java, Python, scripting languages
  • Hands on experience of GIT, BitBucket, Jenkins, SONAR, SPLUNK, Maven, AIM and/ or Continuous Delivery tools
  • Hands on experience in Unix: Linux and Solaris, relational (Oracle, MS SQL DB, Sybase, etc) and non DB technologies
  • Knowledge of Load balancing, IP,  DNS
  • Exposure to new and emerging technologies such as cloud and virtualization
  • Exposure to messaging technologies: eg Kafka, etc
  • Exposure to Orchestration and configuration management tools for applications
  • Familiarity with Agile Methodologies
  • Hands on experience building out and maintaining data management platforms/workbenches either in house or as part of a commercial offering
  • Experience with infrastructure components utilized in data warehousing or big data environments.
  • Excellent communication skills, both written and oral appropriately scaled for senior technical and senior business audience
  • Ability to work and effectively prioritize in a highly dynamic work environment that includes a global focus


SRE SDLC and Automation – VP
  • Glasgow
  • 03 Mar 2020

 

Job Description

 

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.5 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

 

Description

 

JPMC is looking to develop a core set of set of data management capabilities to drive consistency across each line of business. This data platform will be deployed on premise and longer term in the public cloud. The initial focus is on sourcing, storing, enriching and making available information to supporting internal management reporting, external regulatory reporting, as well as machine learning and other data analysis applications.

We are seeking an experienced software engineering lead in our global Site Reliability Engineering (SRE) team supporting our Big Data platform. This individual will be expected to lead a team of software engineers who will grow into subject manage experts, work with functional application development teams, partner with infrastructure engineers and production support analysts to determine requirements for designing and developing automation, SDLC and development environment testing & integration tools.  The toolsets developed must pass the rigour of JPMC’s cyber security standards.

The SRE team runs, maintains and improves the Big Data Platform against established Service Level Objectives by applying software engineering practices. It is responsible for the availability, performance, change management, monitoring, and capacity management of their services, with special emphasis being placed on the automation of the processes/workload in support of the above. The SRE team is also responsible for the operational support of the Big Data infrastructure, with emphasis being placed on the ability to submit outage/issue/incident data into a design and SDLC feedback loop to ensure maximum automation and outage avoidance.

 Key responsibilities this role would include:


  • Develop, test and deliver the software to automate manual operational work and ensure application performance and resiliency
  • Key contributor to SRE and functional development teams throughout the life cycle to help create software for reliability and scale, ensuring minimal refactoring or changes
  • Troubleshoot incidents, participate in blameless post-mortems and ensure permanent closure of the incidents
  • Identify application patterns and analytics in support of better service level objectives
  • Analyze self-healing and resiliency patterns and contribute to software which can use these outcomes
  • Conduct the performance tests, identify the bottlenecks, opportunities for optimization and capacity demand
  • Implement best in class monitoring frameworks to accomplish end to end flow monitoring and noiseless alerting
  • Test and implement automated software and product upgrades, change management and release management solutions
  • Engage with Technology Controls organization to ensure tooling and ecosystem meets the Firm’s rigorous cyber policies
  • Contribute to Firm level SRE community via engineering projects
  • Be part of the 24x7 support coverage as needed

When you work at JPMorgan Chase & Co., you’re not just working at a global financial institution. You’re an integral part of one of the world’s biggest tech companies. In 14 technology hubs worldwide, our team of 40,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $9.5B+ annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the world. 
                                                                                                             
At JPMorgan Chase & Co. we value the unique skills of every employee, and we’re building a technology organization that thrives on diversity.  We encourage professional growth and career development, and offer competitive benefits and compensation.  If you’re looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you. 
 
JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.

This role requires a wide variety of strengths and capabilities, including:

  • Bachelor’s Degree in Computer Science, Engineering or Business
  • Prior experience in DevOps and/or application development teams
  • Excellent debugging and trouble shooting skills
  • Hands on experience using large scale software development, preferably in one of these languages: Java, Python, scripting languages
  • Hands on experience of GIT, BitBucket, Jenkins, SONAR, SPLUNK, Maven, AIM and/ or Continuous Delivery tools
  • Hands on experience in Unix: Linux and Solaris, relational (Oracle, MS SQL DB, Sybase, etc) and non DB technologies
  • Knowledge of Load balancing, IP,  DNS
  • Exposure to new and emerging technologies such as cloud and virtualization
  • Exposure to messaging technologies: eg Kafka, etc
  • Exposure to Orchestration and configuration management tools for applications
  • Familiarity with Agile Methodologies
  • Hands on experience building out and maintaining data management platforms/workbenches either in house or as part of a commercial offering
  • Experience with infrastructure components utilized in data warehousing or big data environments.
  • Excellent communication skills, both written and oral appropriately scaled for senior technical and senior business audience
  • Ability to work and effectively prioritize in a highly dynamic work environment that includes a global focus


Business Analyst - Pricing and Analytics
  • London, England
  • £60000 - £80000 per annum + bonus + benefits
    • Permanent
  • 03 Mar 2020

Business Analyst (Pricing and Analytics Agile SCRUM JIRA Confluence Business Intelligence). Market-leading financial services company is seeking a highly motivated, results-driven Business Analyst to enhance their capabilities across their Pricing and Analytics sector. They are primarily known as a pioneer of modern-day hedge funding, but their history is rich and their industry capabilities expand much further.

As a Pricing and Analytics Business Analyst, you will work with both Business and Information Technology stakeholders to define, plan, prioritise and deliver projects. This role is high-visibility, and you will act as a critical point of contact for both Operational and Front Office staff for analytical projects and tasks.

The ideal candidate will have a naturally analytical mindset, able to construct a detailed overview of the organisation and its objectives. You'll work closely with business users and IT counterparts to understand workflows, gather relevant requirements and identify potential improvements to optimise business performance and efficiency, executing integration / regression test cases where appropriate.

As a Business Analyst you will take ownership of building, leading and coaching project teams throughout project lifecycles, ensuring workflow and communication alignment across IT teams, evaluating project health, navigating competing stakeholder demands and ensuring project methodology and compliance standards are consistently met.

Requirements:

*You have strong experience in a Business Analyst / Project Management role
*You have a good understanding of pricing and risk models across asset classes
*You are proficient with Project and Portfolio Management tools (e.g. Visio, MS Project, Clarity)
*You are familiar with software development and collaboration tools, such as JIRA, Confluence, Git etc.
*You are familiar with in memory analytical database products and Business Intelligence tools (e.g. Tableau, SSRS, Sybase, IQ etc.)
*You are educated to degree level in a discipline that encompasses Computer Science / Business, or hold the equivalent Project Management certifications
*You are a confident and self-assured communicator, able to relay complex, technical information to a variety of audiences
*You thrive in a dynamic, fast-paced environment and can manage multiple priorities and assignments concurrently, delivering to a consistent high standard
*Desirable: experience in financial services, experience delivering APIs / data access for front office users

As a Business Analyst you will earn a highly competitive salary (to £80k) plus bonus and benefits. You'll be based at upmarket offices in the heart of London.

If you are ready to accelerate your career as a Pricing and Analytics Business Analyst apply now or call today for a confidential discussion.

REF: BB/14684/A/JR/040320_1583311214

Business Analyst - Pricing and Analytics
  • London, England
  • £60000 - £80000 per annum + bonus + benefits
    • Permanent
  • 03 Mar 2020

Business Analyst (Pricing and Analytics Agile SCRUM JIRA Confluence Business Intelligence). Market-leading financial services company is seeking a highly motivated, results-driven Business Analyst to enhance their capabilities across their Pricing and Analytics sector. They are primarily known as a pioneer of modern-day hedge funding, but their history is rich and their industry capabilities expand much further.

As a Pricing and Analytics Business Analyst, you will work with both Business and Information Technology stakeholders to define, plan, prioritise and deliver projects. This role is high-visibility, and you will act as a critical point of contact for both Operational and Front Office staff for analytical projects and tasks.

The ideal candidate will have a naturally analytical mindset, able to construct a detailed overview of the organisation and its objectives. You'll work closely with business users and IT counterparts to understand workflows, gather relevant requirements and identify potential improvements to optimise business performance and efficiency, executing integration / regression test cases where appropriate.

As a Business Analyst you will take ownership of building, leading and coaching project teams throughout project lifecycles, ensuring workflow and communication alignment across IT teams, evaluating project health, navigating competing stakeholder demands and ensuring project methodology and compliance standards are consistently met.

Requirements:

*You have strong experience in a Business Analyst / Project Management role
*You have a good understanding of pricing and risk models across asset classes
*You are proficient with Project and Portfolio Management tools (e.g. Visio, MS Project, Clarity)
*You are familiar with software development and collaboration tools, such as JIRA, Confluence, Git etc.
*You are familiar with in memory analytical database products and Business Intelligence tools (e.g. Tableau, SSRS, Sybase, IQ etc.)
*You are educated to degree level in a discipline that encompasses Computer Science / Business, or hold the equivalent Project Management certifications
*You are a confident and self-assured communicator, able to relay complex, technical information to a variety of audiences
*You thrive in a dynamic, fast-paced environment and can manage multiple priorities and assignments concurrently, delivering to a consistent high standard
*Desirable: experience in financial services, experience delivering APIs / data access for front office users

As a Business Analyst you will earn a highly competitive salary (to £80k) plus bonus and benefits. You'll be based at upmarket offices in the heart of London.

If you are ready to accelerate your career as a Pricing and Analytics Business Analyst apply now or call today for a confidential discussion.

REF: BB/14684/A/JR/040320_1583311214

Support Analyst - Application Support - Linux
  • South West London
  • £60,000 - £120,000 per annum
    • Permanent
  • 03 Mar 2020

2nd / 3rd Line Support Analyst, Application Support, Linux, Windows, Scripting, SQL.

The minimum required skills are:

Excellent knowledge of Windows Desktop / Server and Linux including Builds, Installs and Troubleshooting with at least 2+ years Scripting and some knowledge of Databases (SQL Server, Oracle, Sybase)

Candidates with the right core Technical skills and NO previous Financial experience will be considered offering a superb opportunity to gain some invaluable Financial / Banking experience.

Preferred candidates will have some Trade Floor Support - supporting Financial Trading Applications / Market Data Systems in a mixed Linux (any of RedHat, Debian, Ubuntu, CENTOS, SuSE, Solaris) and Windows environment.

Ideal candidates will have strong Linux Systems Administration (4/5+ years) with at least 3 years Scripting … Python, Bash, Perl, R … along with a strong understanding of Database Architecture - SQL Server / Oracle and some experience of FIX connectivity / Client On-boarding and troubleshooting.

Essential Skills:

  • Excellent Knowledge of Windows Desktop - 7/8/10.
  • Windows Server / Active Directory - 2008/12/16.
  • Strong Linux System Administration - Any Of: RedHat, Ubuntu, CENTOS, SuSE, Debian.
  • Scripting - At Least One of: Python, R, Perl, Powershell, Bash.
  • Core knowledge of Databases - SQL Server / Oracle.

Any experience of Low Latency / HFT (High Frequency Trading) Algorithmic Trading Systems would be highly advantageous including BIOS / Kernel Tuning and Optimization and any DevOps also beneficial … although this is a superb opportunity for someone with the core skills to gain some exposure to other areas.

Non Essential But Highly Desirable Skills:

  • Previous Application Support (Ideally Trading / Market Data).
  • Experience supporting Futures & Options Trading / Settlement Systems.
  • Knowledge of at least one of the ISV’s products - Fidessa, Trading Technologies, Stellar, ULLink, WebICE, Object Trading, ION / Patsystems, Trayport.
  • Exchange Connectivity - ICE / LIFFE, Eurex, CME / CBOT, Xetra, Chi-X, LME, LSE, NYSE.
  • FIX Connectivity - Client On-boarding, Support / Troubleshooting of FIX Logs / Connections.
  • Other Market Data - Reuters, Bloomberg, CQG, Ateo (Teo and Lisa).

Within reason the role will pay what’s required for "The Right Candidate" the wide salary range will largely depend on relevant Financial experience but applications are expected in the £60 to £120k range + Excellent Bonus + Benefits depending upon experience.

Support Analyst - Application Support - Linux
  • South West London
  • £60,000 - £120,000 per annum
    • Permanent
  • 03 Mar 2020

2nd / 3rd Line Support Analyst, Application Support, Linux, Windows, Scripting, SQL.

The minimum required skills are:

Excellent knowledge of Windows Desktop / Server and Linux including Builds, Installs and Troubleshooting with at least 2+ years Scripting and some knowledge of Databases (SQL Server, Oracle, Sybase)

Candidates with the right core Technical skills and NO previous Financial experience will be considered offering a superb opportunity to gain some invaluable Financial / Banking experience.

Preferred candidates will have some Trade Floor Support - supporting Financial Trading Applications / Market Data Systems in a mixed Linux (any of RedHat, Debian, Ubuntu, CENTOS, SuSE, Solaris) and Windows environment.

Ideal candidates will have strong Linux Systems Administration (4/5+ years) with at least 3 years Scripting … Python, Bash, Perl, R … along with a strong understanding of Database Architecture - SQL Server / Oracle and some experience of FIX connectivity / Client On-boarding and troubleshooting.

Essential Skills:

  • Excellent Knowledge of Windows Desktop - 7/8/10.
  • Windows Server / Active Directory - 2008/12/16.
  • Strong Linux System Administration - Any Of: RedHat, Ubuntu, CENTOS, SuSE, Debian.
  • Scripting - At Least One of: Python, R, Perl, Powershell, Bash.
  • Core knowledge of Databases - SQL Server / Oracle.

Any experience of Low Latency / HFT (High Frequency Trading) Algorithmic Trading Systems would be highly advantageous including BIOS / Kernel Tuning and Optimization and any DevOps also beneficial … although this is a superb opportunity for someone with the core skills to gain some exposure to other areas.

Non Essential But Highly Desirable Skills:

  • Previous Application Support (Ideally Trading / Market Data).
  • Experience supporting Futures & Options Trading / Settlement Systems.
  • Knowledge of at least one of the ISV’s products - Fidessa, Trading Technologies, Stellar, ULLink, WebICE, Object Trading, ION / Patsystems, Trayport.
  • Exchange Connectivity - ICE / LIFFE, Eurex, CME / CBOT, Xetra, Chi-X, LME, LSE, NYSE.
  • FIX Connectivity - Client On-boarding, Support / Troubleshooting of FIX Logs / Connections.
  • Other Market Data - Reuters, Bloomberg, CQG, Ateo (Teo and Lisa).

Within reason the role will pay what’s required for "The Right Candidate" the wide salary range will largely depend on relevant Financial experience but applications are expected in the £60 to £120k range + Excellent Bonus + Benefits depending upon experience.

Data Science Integrator
  • Canary Wharf
  • £485.00 - £510.00 per hour
    • Contract
  • 03 Mar 2020

Data Science Integrator

Rate: £510 per day INSIDE IR35

Key roles and responsibilities:

The successful candidates will join a team focused on data discovery and be responsible for supporting the strategy and execution of the for data prediction. Principal to this will be acquiring and understanding the data, and using appropriate technologies and methods to analyze the data through traditional statistics and Machine Learning techniques. They will help forge the framework for integrating machine learning for data discovery; this includes integrating algorithms and productionizing the use of them to run across a parallel processed environment.

Duties

  • Collaborate in the production and development of data discovery solutions and integration of new models
  • Design and build predictive models that substantially increase the value that we provide to our customers and the efficiency of our operations by building automation of the data landscape.
  • Working with Product Managers, software developers and subject matter experts, and also bring your own expertise to the team, helping to move from abstract concepts, through design and build, to scalable algorithms that will deliver the discovery goals.
  • Contribute to specifying the underlying infrastructure we are building to support data discovery and enable models to be easily productionised and run at scale.
  • Produce data visualizations that effectively communicate information related to where data discovery is needed for business case objectives.

Experience Required

  • Use of Machine Learning methods to analyze large and complex datasets
  • Experience of pattern recognition and function approximation, uncovering relationship between variables
  • Deep Learning using multi-layer neural networks, as well as reinforcement learning approaches
  • Theoretical and practical experience of using supervised Machine Learning: regressions, classifications; Unsupervised Machine Learning: clustering, factor analyses as well as methods of Deep and Reinforcement Learning.
  • Experience on a variety of database technologies like Oracle, SQL Server, Sybase, Cassandra, Mongodb
  • Experience of data analysis and data processing using Java, Python, R, PL/SQL, TSQL, KSQL, CQL, Airflow, Bash, Jupyter Notebooks

Skills

  • Solid Mathematical and Algorithms Knowledge
  • Well-Versed with Probability and Statistics
  • Efficiency in Distributed Computing, Good Command of Unix Tools
  • Knowledge of Advanced Signal Processing Techniques

Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. 

Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation

We take our obligations to protect your personal data very seriously.  Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website http://proactive.it/privacy-notice/

Data Science Integrator
  • Canary Wharf
  • £485.00 - £510.00 per hour
    • Contract
  • 03 Mar 2020

Data Science Integrator

Rate: £510 per day INSIDE IR35

Key roles and responsibilities:

The successful candidates will join a team focused on data discovery and be responsible for supporting the strategy and execution of the for data prediction. Principal to this will be acquiring and understanding the data, and using appropriate technologies and methods to analyze the data through traditional statistics and Machine Learning techniques. They will help forge the framework for integrating machine learning for data discovery; this includes integrating algorithms and productionizing the use of them to run across a parallel processed environment.

Duties

  • Collaborate in the production and development of data discovery solutions and integration of new models
  • Design and build predictive models that substantially increase the value that we provide to our customers and the efficiency of our operations by building automation of the data landscape.
  • Working with Product Managers, software developers and subject matter experts, and also bring your own expertise to the team, helping to move from abstract concepts, through design and build, to scalable algorithms that will deliver the discovery goals.
  • Contribute to specifying the underlying infrastructure we are building to support data discovery and enable models to be easily productionised and run at scale.
  • Produce data visualizations that effectively communicate information related to where data discovery is needed for business case objectives.

Experience Required

  • Use of Machine Learning methods to analyze large and complex datasets
  • Experience of pattern recognition and function approximation, uncovering relationship between variables
  • Deep Learning using multi-layer neural networks, as well as reinforcement learning approaches
  • Theoretical and practical experience of using supervised Machine Learning: regressions, classifications; Unsupervised Machine Learning: clustering, factor analyses as well as methods of Deep and Reinforcement Learning.
  • Experience on a variety of database technologies like Oracle, SQL Server, Sybase, Cassandra, Mongodb
  • Experience of data analysis and data processing using Java, Python, R, PL/SQL, TSQL, KSQL, CQL, Airflow, Bash, Jupyter Notebooks

Skills

  • Solid Mathematical and Algorithms Knowledge
  • Well-Versed with Probability and Statistics
  • Efficiency in Distributed Computing, Good Command of Unix Tools
  • Knowledge of Advanced Signal Processing Techniques

Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. 

Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation

We take our obligations to protect your personal data very seriously.  Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website http://proactive.it/privacy-notice/

Data Architect - Financial Services & Banking
  • Canary Wharf
  • £485.00 - £510.00 per day
    • Contract
  • 03 Mar 2020

Data Architect

Rate: £510 per day 

Role inside IR35

Key roles and responsibilities:

The Data Architect will be an “agent of delivery,” who builds and executes integration opportunities that will capitalize on analytical and data engineering tools for data discovery identification.

The successful candidate will possess strong foundational engineering data science skills, as well as an ability to develop strategic solutions through programming languages and database management systems. They must be able to take a holistic view of a business problem or challenge and work with various technical groups to get the information necessary to develop changes through to production. Responsible for implementing technical direction, applying the appropriate statistical techniques to harness structured and unstructured data, and performing complex data analysis to extract useful information and develop solutions for industrialization within the discovery programme.

Duties

  • Shape the development of data discovery solutions and integration 
  • Drive the design for automated data processes for data discovery and Identify areas to increase efficiency
  • Identify, evaluate and implement services and tools to support data validation and cleansing
  • Manipulate, analyse and interpret complex data sets relating to business flows
  • Mine and analyse large datasets, draw valid inferences and present to senior management
  • Provide quality metrics for benchmarking of data points and produce and track key performance indicators which align to Line of Business Sponsorship
  • Liaise with internal clients to fully understand data content and commercial usage / business opportunity
  • Gather, understand and document detailed business requirements using appropriate tools and techniques
  • Create data dashboards, graphs and visualizations to aid commercial opportunity

Skills & Experience Required

Leadership

  • At least 4 years’ professional experience as a software developer, including leading projects and teams
  • Experience in multi-disciplinary teams, with an end-to-end view of systems and processes
  • Minimum of 1years Experience leading with agile development methodologies like XP, Kanban or Scrum.
  • Can take the lead with new initiatives and can act a mentor to team members
  • 3-5 years’ experience Building technical plans with a confirmed background in architecture with real-world experience of architecting, designing, and delivering large IT projects

Data Engineering & Integration

  • At least 6 years hands-on experience working in financial services in a technical engineering role
  • Extensive experience in turning data into actionable insights using a variety of programming solutions
  • Experience in Data Architecture and Information Architecture
  • Experience on a variety of database technologies like Oracle, SQL Server, Sybase, Cassandra, Mongodb
  • Experience of data analysis and data processing using Java, Python, R, PL/SQL, TSQL, KSQL, CQL, Airflow, Bash, Jupyter Notebooks
  • Strong understanding of RESTful APIs and / or data streaming
  • Experience of version control (Git, Bitbucket)
  • Experience of Data visualisation tools, e.g. Matplotlib, Seaborn, ggplot2, Birst, Tableau, Qlik, Grafana
  • Familiar with Agile working practices and methodologies
  • Good experience with enterprise-wide infrastructure technical architectures like Apache Spark, Amazon cloud and Big Data strategies
  • Experience with distributed nature of storing and analyzing data, through programming frameworks such as Hadoop and Spark
  • Solid grasp of basic networking technologies such as HTTP and DNS

Analysis & Design

  • Experience of working with large and complex datasets for the purposes of analysis, and delivering analytics solutions
  • Experience of creating analytics dashboards or reports
  • Ability to translate business requirements into technical requirements, and determine appropriate technical solutions

Requirements & Problem solving

  • Experience of producing documentation/specifications for technical solutions
  • Keen to learn and continually develop skillset, collaborate and express ideas to make improvements
  • Demonstrates a passion for using data to solve problems and deliver value
  • Strong problem-solving skills and ability to logically analyse complex requirements, processes and systems

Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. 

Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation

We take our obligations to protect your personal data very seriously.  Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website http://proactive.it/privacy-notice/

Data Architect - Financial Services & Banking
  • Canary Wharf
  • £485.00 - £510.00 per day
    • Contract
  • 03 Mar 2020

Data Architect

Rate: £510 per day 

Role inside IR35

Key roles and responsibilities:

The Data Architect will be an “agent of delivery,” who builds and executes integration opportunities that will capitalize on analytical and data engineering tools for data discovery identification.

The successful candidate will possess strong foundational engineering data science skills, as well as an ability to develop strategic solutions through programming languages and database management systems. They must be able to take a holistic view of a business problem or challenge and work with various technical groups to get the information necessary to develop changes through to production. Responsible for implementing technical direction, applying the appropriate statistical techniques to harness structured and unstructured data, and performing complex data analysis to extract useful information and develop solutions for industrialization within the discovery programme.

Duties

  • Shape the development of data discovery solutions and integration 
  • Drive the design for automated data processes for data discovery and Identify areas to increase efficiency
  • Identify, evaluate and implement services and tools to support data validation and cleansing
  • Manipulate, analyse and interpret complex data sets relating to business flows
  • Mine and analyse large datasets, draw valid inferences and present to senior management
  • Provide quality metrics for benchmarking of data points and produce and track key performance indicators which align to Line of Business Sponsorship
  • Liaise with internal clients to fully understand data content and commercial usage / business opportunity
  • Gather, understand and document detailed business requirements using appropriate tools and techniques
  • Create data dashboards, graphs and visualizations to aid commercial opportunity

Skills & Experience Required

Leadership

  • At least 4 years’ professional experience as a software developer, including leading projects and teams
  • Experience in multi-disciplinary teams, with an end-to-end view of systems and processes
  • Minimum of 1years Experience leading with agile development methodologies like XP, Kanban or Scrum.
  • Can take the lead with new initiatives and can act a mentor to team members
  • 3-5 years’ experience Building technical plans with a confirmed background in architecture with real-world experience of architecting, designing, and delivering large IT projects

Data Engineering & Integration

  • At least 6 years hands-on experience working in financial services in a technical engineering role
  • Extensive experience in turning data into actionable insights using a variety of programming solutions
  • Experience in Data Architecture and Information Architecture
  • Experience on a variety of database technologies like Oracle, SQL Server, Sybase, Cassandra, Mongodb
  • Experience of data analysis and data processing using Java, Python, R, PL/SQL, TSQL, KSQL, CQL, Airflow, Bash, Jupyter Notebooks
  • Strong understanding of RESTful APIs and / or data streaming
  • Experience of version control (Git, Bitbucket)
  • Experience of Data visualisation tools, e.g. Matplotlib, Seaborn, ggplot2, Birst, Tableau, Qlik, Grafana
  • Familiar with Agile working practices and methodologies
  • Good experience with enterprise-wide infrastructure technical architectures like Apache Spark, Amazon cloud and Big Data strategies
  • Experience with distributed nature of storing and analyzing data, through programming frameworks such as Hadoop and Spark
  • Solid grasp of basic networking technologies such as HTTP and DNS

Analysis & Design

  • Experience of working with large and complex datasets for the purposes of analysis, and delivering analytics solutions
  • Experience of creating analytics dashboards or reports
  • Ability to translate business requirements into technical requirements, and determine appropriate technical solutions

Requirements & Problem solving

  • Experience of producing documentation/specifications for technical solutions
  • Keen to learn and continually develop skillset, collaborate and express ideas to make improvements
  • Demonstrates a passion for using data to solve problems and deliver value
  • Strong problem-solving skills and ability to logically analyse complex requirements, processes and systems

Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. 

Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation

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