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  • London, England, United Kingdom
  • GBP450 - GBP500 per day + None
    • Contract
Data Engineer My global financial client are looking for a Data Engineer to help deliver an ecosystem of enriched and protected sets of data - created from raw, structured and unstructured sources.

Data Engineer

My global financial client are looking for a Data Engineer to help deliver an ecosystem of enriched and protected sets of data - created from raw, structured and unstructured sources. My client has over 300 sources and a rapidly growing book of work. We are utilising the latest technologies to solve business problems and deliver value and truly unique insights. They are looking for Data Engineers that will work on the collecting, storing, processing, and analysing of large sets of data.

The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company and to help build out some core services that power Machine Learning and analytics systems.

Key Responsibilities: Data Engineer:

* Ability to process and rationalize structured data, message data and semi/unstructured data and ability to integrate multiple large data sources and databases into one system

* Proficient understanding of distributed computing principles and of the fundamental design principles behind a scalable application

* Strong knowledge of the Big Data eco system, experience with Hortonworks/Cloudera platforms

* Practical experience in using HDFS

* Practical expertise in developing applications and using querying tools on top of Hive, Spark (PySpark)

* Strong Scala skills

* Experience in Python, particularly the Anaconda environment and Python based ML model deployment

* Experience of Continuous Integration/Continuous Deployment (Jenkins/Hudson/Ansible)

* Experience with using GIT/GITLAB as a version control system.

Nice to Haves

* Knowledge of at least one Python web framework (preferably: Flask, Tornado, and/or twisted)

* Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 would be a plus

* Good understanding of global markets, markets macrostructure and macro economics

* Knowledge of Elastic Search Stack (ELK)

* Experience with Google Cloud Platform (Data Proc / Dataflow)

Domain Knowledge:

* Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context.

* Knowledge of Trade Finance or Securities Services particularly useful.

* Knowledge of one or more of the following domains (including market data vendors):

* Party/Client

* Trade

* Settlements

* Payments

* Instrument and pricing

* Market and/or Credit Risk Need Experience using below languages/tools:

* Java

* HQL, SQL

* Querying tools on top of Hive, Spark (PySpark)

* Scala

* Python, particularly the Anaconda environment

* GIT/GITLAB as a version control system

  • London, England, United Kingdom
  • GBP450 - GBP500 per day + None
    • Contract
Data Engineer My global financial client are looking for a Data Engineer to help deliver an ecosystem of enriched and protected sets of data - created from raw, structured and unstructured sources.

Data Engineer

My global financial client are looking for a Data Engineer to help deliver an ecosystem of enriched and protected sets of data - created from raw, structured and unstructured sources. My client has over 300 sources and a rapidly growing book of work. We are utilising the latest technologies to solve business problems and deliver value and truly unique insights. They are looking for Data Engineers that will work on the collecting, storing, processing, and analysing of large sets of data.

The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company and to help build out some core services that power Machine Learning and analytics systems.

Key Responsibilities: Data Engineer:

* Ability to process and rationalize structured data, message data and semi/unstructured data and ability to integrate multiple large data sources and databases into one system

* Proficient understanding of distributed computing principles and of the fundamental design principles behind a scalable application

* Strong knowledge of the Big Data eco system, experience with Hortonworks/Cloudera platforms

* Practical experience in using HDFS

* Practical expertise in developing applications and using querying tools on top of Hive, Spark (PySpark)

* Strong Scala skills

* Experience in Python, particularly the Anaconda environment and Python based ML model deployment

* Experience of Continuous Integration/Continuous Deployment (Jenkins/Hudson/Ansible)

* Experience with using GIT/GITLAB as a version control system.

Nice to Haves

* Knowledge of at least one Python web framework (preferably: Flask, Tornado, and/or twisted)

* Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 would be a plus

* Good understanding of global markets, markets macrostructure and macro economics

* Knowledge of Elastic Search Stack (ELK)

* Experience with Google Cloud Platform (Data Proc / Dataflow)

Domain Knowledge:

* Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context.

* Knowledge of Trade Finance or Securities Services particularly useful.

* Knowledge of one or more of the following domains (including market data vendors):

* Party/Client

* Trade

* Settlements

* Payments

* Instrument and pricing

* Market and/or Credit Risk Need Experience using below languages/tools:

* Java

* HQL, SQL

* Querying tools on top of Hive, Spark (PySpark)

* Scala

* Python, particularly the Anaconda environment

* GIT/GITLAB as a version control system

  • London

Your role

Do you want to play part in developing a state-of-the-art Front Office Risk System using Cloud Microsoft Azure technologies? Do you have the ability to resolve complex logical issues and think outside of the traditional development box? Do you want to work with a start-up mentality?
We are looking for a full stack software engineer who can/wants to:
• Engineer solutions for counterparty credit risk reusing AQUA Computation and Data services
• Create cohesive technology solutions using microservices
• Take a hands on approach to investigating and solving problems
• Focus on product quality (utilising review, testing and fast feedback)
• Analyse business needs working with business users to inform solution delivery

Your team

You will be working in a hybrid pod comprising Global Treasury Technology, alongside Front Office Risk and P&L teams in London, and the Business. The team is highly motivated and consists of data quants and some of the bank's best technologists.

Your expertise

Required Skills
o Java, Python, software design, enterprise integration patterns
o HTML, Cascading Style Sheets, JavaScript (ideally React JS)
o Analysis skills (requirement refinement, data modelling, abstraction), excellent communication skills
o Testing (Unit, System, Integration, UAT, Performance, Stability)
o Iterative SDLC (Scrum ideal)
o Experience of large-scale enterprise software
o Results focused with desire to work closely with business partners, as part of a global team
Desirable Skills
o Cloud Experience (AZURE preferred), Kubernetes, Microservices
o DevOps
o Big Data, Spark, Scala
o Scrum master
o Knowledge of derivatives (FX, Rates, Credit, Commodities, Equities)
o Knowledge of risk
You:
• enjoy logical problem solving tasks
• are passionate about what you do, you value excellence, learning and integrity
• enjoy a work environment that places emphasis on team work, collaboration and delivering business value while working at a sustainable pace
• someone who is technically excellent and wants to grow
• proactive, detail-oriented and comfortable working in dynamic environments with fast
• paced deliveries and changing requirements
• a self-sufficient, quick learner, who can work well both independently as well as in a team
• an excellent communicator, strong written and verbal communication skills in English

Your colleagues

  • London

Your role

Do you want to play part in developing a state-of-the-art Front Office Risk System using Cloud Microsoft Azure technologies? Do you have the ability to resolve complex logical issues and think outside of the traditional development box? Do you want to work with a start-up mentality?
We are looking for a full stack software engineer who can/wants to:
• Engineer solutions for counterparty credit risk reusing AQUA Computation and Data services
• Create cohesive technology solutions using microservices
• Take a hands on approach to investigating and solving problems
• Focus on product quality (utilising review, testing and fast feedback)
• Analyse business needs working with business users to inform solution delivery

Your team

You will be working in a hybrid pod comprising Global Treasury Technology, alongside Front Office Risk and P&L teams in London, and the Business. The team is highly motivated and consists of data quants and some of the bank's best technologists.

Your expertise

Required Skills
o Java, Python, software design, enterprise integration patterns
o HTML, Cascading Style Sheets, JavaScript (ideally React JS)
o Analysis skills (requirement refinement, data modelling, abstraction), excellent communication skills
o Testing (Unit, System, Integration, UAT, Performance, Stability)
o Iterative SDLC (Scrum ideal)
o Experience of large-scale enterprise software
o Results focused with desire to work closely with business partners, as part of a global team
Desirable Skills
o Cloud Experience (AZURE preferred), Kubernetes, Microservices
o DevOps
o Big Data, Spark, Scala
o Scrum master
o Knowledge of derivatives (FX, Rates, Credit, Commodities, Equities)
o Knowledge of risk
You:
• enjoy logical problem solving tasks
• are passionate about what you do, you value excellence, learning and integrity
• enjoy a work environment that places emphasis on team work, collaboration and delivering business value while working at a sustainable pace
• someone who is technically excellent and wants to grow
• proactive, detail-oriented and comfortable working in dynamic environments with fast
• paced deliveries and changing requirements
• a self-sufficient, quick learner, who can work well both independently as well as in a team
• an excellent communicator, strong written and verbal communication skills in English

Your colleagues

  • London, England, United Kingdom
  • GBP65000 - GBP85000 per annum + Bonus ~ 25% + Benefits
    • Permanent
This is a hire for a Technology Product Manager to join a global team that focus on management of large volumes of live time trade data from multiple sources. This position is based in Central London.

My client is a global financial services organisation which employees over 5000 people. They are looking to hire someone to join their Real-Time Market Data team that manages large volumes of live trade data from hundreds of external sources. The ideal candidate will be confident liaising with senior internal & external stakeholders, good financial product knowledge, appreciation for risk, legal and compliance and experience working closely with technology teams.

Industry experience:

  • We are looking for someone who has experience working within financial services; market data, exchanges, stock exchange, trade data, clearing etc.

Knowledge and experience required:

  • Product Management
  • Commercial awareness
  • Exchange/ Market Data/ Clearing/ Handling large volumes of data
  • Client on boarding
  • Managing real time data
  • Trade data
  • Big Data
  • Financial products awareness (FX, Fixed Income, Commodities)
  • Experience working with technology teams (and data scientists)
  • Some data management technical skill will be beneficial

Personal/ soft skills:

  • Self starter
  • Problem solver
  • People management
  • Excellent communication skills
  • Stakeholder management
  • Budget and resource allocation

Please reach out if you're interested in applying.

You can send your CV directly to kpeen@teksystems.com

Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. It is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

  • London, England, United Kingdom
  • GBP65000 - GBP85000 per annum + Bonus ~ 25% + Benefits
    • Permanent
This is a hire for a Technology Product Manager to join a global team that focus on management of large volumes of live time trade data from multiple sources. This position is based in Central London.

My client is a global financial services organisation which employees over 5000 people. They are looking to hire someone to join their Real-Time Market Data team that manages large volumes of live trade data from hundreds of external sources. The ideal candidate will be confident liaising with senior internal & external stakeholders, good financial product knowledge, appreciation for risk, legal and compliance and experience working closely with technology teams.

Industry experience:

  • We are looking for someone who has experience working within financial services; market data, exchanges, stock exchange, trade data, clearing etc.

Knowledge and experience required:

  • Product Management
  • Commercial awareness
  • Exchange/ Market Data/ Clearing/ Handling large volumes of data
  • Client on boarding
  • Managing real time data
  • Trade data
  • Big Data
  • Financial products awareness (FX, Fixed Income, Commodities)
  • Experience working with technology teams (and data scientists)
  • Some data management technical skill will be beneficial

Personal/ soft skills:

  • Self starter
  • Problem solver
  • People management
  • Excellent communication skills
  • Stakeholder management
  • Budget and resource allocation

Please reach out if you're interested in applying.

You can send your CV directly to kpeen@teksystems.com

Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. It is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

  • London

Your role

Do you want to play part in developing a state-of-the-art Front Office Risk System using Cloud Microsoft Azure technologies? Do you have the ability to resolve complex logical issues and think outside of the traditional development box? Do you want to work with a start-up mentality?

We are looking for a full stack software engineer who can/wants to:

* engineer solutions for valuations and risk

* be part of a team resolving large scale distributed compute problems

* apply Microservices design patterns

* understand importance of automated testing and different levels at which these need to be performed

* interest in investigating and solving problems

* analyse business needs working with business users to inform solution delivery

* grow inside a strategic team

Your team

You will be working in the Front Office Risk and P&L team in London alongside the Business. The team is highly motivated and consists of data quants and some of the bank's best technologists.

Your expertise

Required Skills

* Java, Python, software design, enterprise integration patterns

* HTML, Cascading Style Sheets, JavaScript (ideally React JS)

* Analysis skills (requirement refinement, data modelling, abstraction), excellent communication skills

* Testing (Unit, System, Integration, UAT, Performance, Stability)

* Iterative SDLC (Scrum ideal)

* Results focused with desire to work closely with business partners, as part of a global team

Desirable Skills

* Experience large scale enterprise software

* Cloud Experience (AZURE preferred), Kubernetes, Microservices

* DevOps

* Big Data, Spark, Scala

* Experience in being a Scrum master

* Knowledge of derivatives (FX, Rates, Credit, Commodities, Equities)

* Knowledge of risk

You:

* enjoy logical problem solving tasks

* are passionate about what you do, you value excellence, learning and integrity

* enjoy a work environment that places emphasis on team work, collaboration and delivering business value while working at a sustainable pace

* someone who is technically excellent and wants to grow

* proactive, detail-oriented and comfortable working in dynamic environments with fast

* paced deliveries and changing requirements

* a self-sufficient, quick learner, who can work well both independently as well as in a team

* an excellent communicator, strong written and verbal communication skills in English

Your colleagues

  • London

Your role

Do you want to play part in developing a state-of-the-art Front Office Risk System using Cloud Microsoft Azure technologies? Do you have the ability to resolve complex logical issues and think outside of the traditional development box? Do you want to work with a start-up mentality?

We are looking for a full stack software engineer who can/wants to:

* engineer solutions for valuations and risk

* be part of a team resolving large scale distributed compute problems

* apply Microservices design patterns

* understand importance of automated testing and different levels at which these need to be performed

* interest in investigating and solving problems

* analyse business needs working with business users to inform solution delivery

* grow inside a strategic team

Your team

You will be working in the Front Office Risk and P&L team in London alongside the Business. The team is highly motivated and consists of data quants and some of the bank's best technologists.

Your expertise

Required Skills

* Java, Python, software design, enterprise integration patterns

* HTML, Cascading Style Sheets, JavaScript (ideally React JS)

* Analysis skills (requirement refinement, data modelling, abstraction), excellent communication skills

* Testing (Unit, System, Integration, UAT, Performance, Stability)

* Iterative SDLC (Scrum ideal)

* Results focused with desire to work closely with business partners, as part of a global team

Desirable Skills

* Experience large scale enterprise software

* Cloud Experience (AZURE preferred), Kubernetes, Microservices

* DevOps

* Big Data, Spark, Scala

* Experience in being a Scrum master

* Knowledge of derivatives (FX, Rates, Credit, Commodities, Equities)

* Knowledge of risk

You:

* enjoy logical problem solving tasks

* are passionate about what you do, you value excellence, learning and integrity

* enjoy a work environment that places emphasis on team work, collaboration and delivering business value while working at a sustainable pace

* someone who is technically excellent and wants to grow

* proactive, detail-oriented and comfortable working in dynamic environments with fast

* paced deliveries and changing requirements

* a self-sufficient, quick learner, who can work well both independently as well as in a team

* an excellent communicator, strong written and verbal communication skills in English

Your colleagues

  • London, England, United Kingdom
  • £40k - 60k per year
    • Permanent
Recruiting on behalf of the data analytics division of a major outsourcing firm, for a data engineer with experience in Python to join their practice. You will be part of a major project the business have within banking, and you will be responsible for high quality data and software engineering as part of this. You should ideally have a strong educational background, and some understanding of the financial services.
Recruiting on behalf of the data analytics division of a major outsourcing firm, for a data engineer with experience in Python to join their practice. You will be part of a major project the business have within banking, and you will be responsible for high quality data and software engineering as part of this. You should ideally have a strong educational background, and some understanding of the financial services, as well as additional technical skills such as AWS, data warehousing and Big Data technologies.

 

Key Skills;

  • Strong coding skills; Python (required) /Java/Scala. OO-programming skills (e.g. Python, Scala, Java, C++, C#, etc.)
  • Experience in working with Financial data sources (Bloomberg, Reuters, Dealogic, Factset) a big plus
  • Strong understanding of equity fundamentals/company financials a big plus
  • Efficient with Machine learning libraries (sklearn, pytorch, tensorflow inc. keras, xgboost, lightgbm, catboost, H2O - either Python or R)
  • Validation and Data Quality controls design and implementation
  • STEM subject qualification

    • London, England, United Kingdom
    • £40k - 60k per year
      • Permanent
    Recruiting on behalf of the data analytics division of a major outsourcing firm, for a data engineer with experience in Python to join their practice. You will be part of a major project the business have within banking, and you will be responsible for high quality data and software engineering as part of this. You should ideally have a strong educational background, and some understanding of the financial services.
    Recruiting on behalf of the data analytics division of a major outsourcing firm, for a data engineer with experience in Python to join their practice. You will be part of a major project the business have within banking, and you will be responsible for high quality data and software engineering as part of this. You should ideally have a strong educational background, and some understanding of the financial services, as well as additional technical skills such as AWS, data warehousing and Big Data technologies.

     

    Key Skills;

  • Strong coding skills; Python (required) /Java/Scala. OO-programming skills (e.g. Python, Scala, Java, C++, C#, etc.)
  • Experience in working with Financial data sources (Bloomberg, Reuters, Dealogic, Factset) a big plus
  • Strong understanding of equity fundamentals/company financials a big plus
  • Efficient with Machine learning libraries (sklearn, pytorch, tensorflow inc. keras, xgboost, lightgbm, catboost, H2O - either Python or R)
  • Validation and Data Quality controls design and implementation
  • STEM subject qualification