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.
Trade & Risk Management technology operates horizontally across Global Markets businesses. Within this organization, the RDx group operates the core common risk technology components that support the Global Markets and provides on-demand risk aggregation, promote effective capital allocation, improve trading decision-making tools, and support management of risk oversight across GM.
The RDx team owns and develops the core technologies which enable the front-to-back applications that are used across Global Markets for risk management and regulatory reporting. These technologies enable traders, product controllers and risk managers across the business to analyse and report on massive amounts of risk and P&L data. The heart of this platform is the Risk Data Fabric (RDF), a 'big data' store which provides a consistent data access layer for trade, P&L and reference data across all GM business lines. On top of this we develop and support a graph-based calculation layer (QCF) which enables on-demand risk and scenario calculations to both front office and risk management users.
Along with the data store and calculation layer the platform team also develops Risk Data Algebra (RDA) a suite of software which enables the aggregation and manipulation (slicing & dicing) of large volumes of data and the representation of that data into consistent GUIs and reports. All of this technology is underpinned by our Risk Definition Language (RDL) which is developed to describe all the data and calculations performed within the RDx platform.
MustDegree educated with a mathematical / computational degree or similar.
Good interpersonal skills
Ability to engage and communicate across business and IT functions
Proactive and eager to be challenged including a demonstrable ability to take ownership of issues and follow through to resolution.
Flexible and adaptable, willing to move focus between components and projects easily.
Big data stack Design/Development experience across multiple environments.
Proven understanding of server-side Java, API-driven development.
Ability to work with Ops and Engineering teams.
Extensive experience with back-end, distributed systems
Collaborate in a global team environment on application design and feature enhancements.
Understanding and implementation of security and data protection.
Experience with administrative/DevOps tooling like Puppet, scripting languages (shell, Python, etc.), TeamCity, etc.
Nice to haveJVM monitoring, profiling, performance tuning and debugging.
No-SQL database experience (in particular sorted key-value stores such as Apache HBase, Apache Accumolo for instance).
Apache Spark (or similar analysis tools).
Experience with Amazon Web Services or Microsoft Azure.
Experience deploying containers in production, preferably using Kubernetes for orchestration.
Experience of Investment Banking, preferably knowledge of Market Risk along with any experience of working on regulatory projects would be advantageous
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