Bright minds,
sharp solutions

Luxoft is a global IT service provider of innovative technology solutions that delivers measurable business outcomes to multinational companies. Its offerings encompass strategic consulting, custom software development services, and digital solution engineering. Luxoft enables companies to compete by leveraging its multi-industry expertise in the financial services, automotive, communications, and healthcare & life sciences sectors. For more information, please visit the website.

Line of Business:

Financial Services


Data Engineer, London

Project Description

Enterprise Risk & Analytics (EDA) Technology operates horizontally across Global Markets and other divisions to implement strategic risk management infrastructure for a top tier investment bank. The EDA group owns and develops the core technologies which enable delivery of front-to-back applications used for risk management and regulatory reporting, supporting programs supported such as Risk Based P+L, FRTB and Intraday Limit Management.

The Data Engineering team carries out the following functions:
• Sourcing - agreeing data requirements, identifying appropriate data sources and managing delivery of data into EDA
• Integration - ensure on-boarded data integrates with calculators and other application components
• Consumption - support the provision of data to consumers through agreed interfaces
• Validation - define and implement the validations, tools and metrics to be used to measure data quality
• Remediation - drive the remediation of data quality issues at source


• Undertaking systems analysis in support program deliveries - understanding the calculation requirements and driving data on-boarding in partnership with IT delivery teams across the organisation (FO Risk Management, Reference Data, FO IT, CRO IT) and Quant Strats
• Hands on data analysis, working closely with development teams and QAs, responsible for data flows from source through to successful use in calculations on the platform
• Defining and measuring data quality, conducting root cause analysis into issues (technical and business process) and agreeing remediation plans - including the creation of Python scripts for data quality reporting
• Specifying technical improvements (e.g. interfaces definition, object modelling, data validators)
• Engaging with other IT teams and securing commitment to deliver within their respective books of work



• Investment Banking experience
• Data analysis and sourcing experience including skills in SQL, Excel and Python
• Experience working in Front Office Risk Management Systems and / or Market Risk
• Reference data sourcing and usage within an Investment Bank
• Agile development practices - Scrum, Jira
• Strong interpersonal skills
• Strong analytical and problem solving skills
• Strong verbal and written communication skills - fluent written and spoken English
• Detailed oriented - structured and methodical
• Flexible and adaptable, being willing to move focus between components and projects easily
• Strong influencing skills
• Proactive approach

Nice to have

• Knowledge of No-SQL databases
• Knowledge of Data Analytics Technologies


  • English: Advanced/Fluent

Relocation package

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Work Type

BigData (Hadoop etc.)

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