Market Data Quant Specialist in London

The Market Data Strategy and Analytics (MDSA) team is at the forefront of leveraging data to drive risk management. MDSA is responsible for the meticulous procurement, analysis, and governance of historical market data, which underpins crucial risk metrics for both current and future Pillar 1 and Pillar 2 capital regulations. Joining MDSA offers a unique opportunity to engage in high-impact initiatives supporting business growth and regulatory requirements, through the delivery of historical market data time series.

Market Valuation and Risk Management (MVRM) is responsible for managing market risk and ensuring fair value assessment of Books & Records within Deutsche Bank. You will be working in the MDSA team in MVRM. You will have the opportunity to work on high-impact projects supporting business growth and regulatory requirements through the delivery of market data time series. The team works with robust quantitative techniques to deliver reliable market data. You will contribute to projects that use machine learning/statistical techniques alongside strong quantitative finance concepts, to generate high quality historical market data and forecast trends. You will work alongside experienced colleagues who will coach and support your development, helping you grow through exposure to a broad range of advanced statistics and machine learning techniques, domain-specific knowledge, and stakeholder-facing activities.

What we’ll offer you:

• A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace.
• Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
• Competitive salary and non-contributory pension.
• 30 days’ holiday plus bank holidays, with the option to purchase additional days.
• Life Assurance and Private Healthcare for you and your family.
• A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits.
• The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year.

Your key responsibilities:

• Quantitative modelling of market risk data using machine learning and statistical techniques.
• Developing proxy methodologies for risk factors across asset classes.
• Data validation and forecasting.
• Creating Prototypes and collaborating to take them through to successful deployment in production.
• Design and implement market data framework compliant with principles of Fundamental Review of Trading Book (FRTB), supporting and working closely with Group Strategic Analytics (GSA), Quantitative Analysts, Risk Methodology and IT teams.

Your skills and experience:

• Educated to Masters/PhD degree in a numerate field (e.g. Quantitative finance, Math's, Physics, Engineering) or equivalent experience.
• Strong quantitative and Python coding skills including a good mastery of Probability, Statistics, Derivatives Pricing Theory.
• Strong understanding of Market Risk framework underlying Pillar 1 and Pillar 2 models including new regulations (e.g. FRTB).
• Experience in designing system use cases, testing new methodologies.
• Excellent written and oral communication skills.

How we’ll support you:

• Coaching and support from experts in your team.
• A culture of continuous learning to aid progression.
• We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards).

If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge to discuss. We welcome applications from all people and promote a positive, fair and inclusive work environment.