Additional Information
Job Description:
Job Title: Market Data Quant Specialist
Location: London
Corporate Title: Assistant Vice President
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. That's why we are committed to providing an environment with your development and wellbeing at its centre.
You can expect:
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)
Deutsche Bank · London, UK