POSITION OVERVIEW

Group Strategic Analytics (GSA) concentrates Deutsche Bank’s quantitative and modelling expertise within a single unit. With group-wide responsibility for model development GSA takes a cross-business and cross-functional approach to solving quantitative modelling and analytics challenges and rolls out common development standards.
You will join the Market Risk Strats unit within GSA, which is a team comprised of people with technology, front office quant and risk methodology experience. Your immediate focus will be on methodology development and implementing models for Market Risk and Capital calculation, such as FRTB, VaR as well as a further build-out of a scalable and flexible risk management system with consistent interface to Market Risk.

YOUR SKILLS AND EXPERIENCE

• Relevant university degree (e.g. Master or PhD) in a quantitative discipline
• Understanding of the disciplines and tools which are used to deliver robust high quality applications: source control, unit-testing, regression testing, release and deployment controls, etc.
• Prior exposure to finance, in particular subjects such as derivatives and value-at-risk is a plus.
• Experience of hands-on development in Python (ideally also C++) and a desire to continue doing this on a day-to-day basis
• Good knowledge of financial products/markets and market risk
• Desire to learn new subjects and ability to work in a team.
• Well-organized with a proven ability to solve problems independently with a strong sense of personal ownership and a focus on timelines and delivering results
• Able to cope well under pressure and tight deadlines

Task: Complex analysis, evaluation & decision-making

• Develop methodologies to cover complex risk modelling approaches
• Analyse and explain calculated numbers, work with risk managers to continuously improve risk management models

Improvements: Development of complex methods, processes or analyses as well as improvements

• Lead the development of production applications implemented in Python and C++ for particular risk components
• Maintain a rigorous focus on system stability, and completeness and accuracy of calculations, as applications are developed, and continue with this focus as they are used in production.
• Prepare for internal model governance and regulatory review processes; coordinate and secure agreement on model design with relevant stakeholders

Relationship management

• Build relationships with Risk colleague and other stakeholders and business associates, internal & external
• Communication effectively and regularly with Senior Management
• Coordinate model development and implementation with various stakeholders in the bank