At a Glance
- Tasks: Use machine learning and statistics to model market risk data and develop innovative solutions.
- Company: Join Deutsche Bank, a leading global bank with a commitment to diversity and inclusion.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and private healthcare.
- Other info: Receive coaching from experts and thrive in a culture of continuous learning.
- Why this job: Make a real impact on business growth and regulatory compliance through data-driven projects.
- Qualifications: Masters/PhD in a numerate field and strong Python coding skills required.
The predicted salary is between 60000 - 80000 £ per year.
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
- 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).
About us
Deutsche Bank is the leading German bank with strong European roots and a global network. Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers.
If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on adjustmentsconcierge@db.com to discuss.
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.
Market Data Quant Specialist in London employer: Deutsche Bank AG
Deutsche Bank is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee development, you will benefit from coaching by experienced colleagues and access to advanced statistical and machine learning techniques. The company promotes a healthy work-life balance through hybrid working options, generous holiday allowances, and a commitment to diversity and inclusion, making it an ideal place for those seeking meaningful and rewarding careers in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data Quant Specialist in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data analytics sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews! Research common questions for Market Data Quant Specialist roles and practice your answers. Use the STAR method (Situation, Task, Action, Result) to structure your responses, especially when discussing your quantitative skills and project experiences.
✨Tip Number 3
Show off your skills! If you’ve worked on any relevant projects or have a portfolio, make sure to highlight that during interviews. Bring examples of your quantitative modelling or machine learning work to demonstrate your expertise and how you can contribute to the team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Deutsche Bank and being part of the MDSA team. Don’t miss out on this opportunity!
We think you need these skills to ace Market Data Quant Specialist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Market Data Quant Specialist role. Highlight your quantitative skills, Python coding experience, and any relevant projects that showcase your understanding of market risk frameworks.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about data and risk management. Share specific examples of how your background aligns with the responsibilities of the role, especially in using machine learning and statistical techniques.
Showcase Your Communication Skills:Since excellent written and oral communication skills are key for this role, make sure your application reflects clarity and professionalism. Use straightforward language and structure your thoughts logically to demonstrate your ability to communicate complex ideas.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. This way, you can ensure all your details are captured correctly and you’ll be kept updated on your application status!
How to prepare for a job interview at Deutsche Bank AG
✨Know Your Quantitative Stuff
Brush up on your quantitative finance concepts, especially around market risk frameworks like Pillar 1 and Pillar 2. Be ready to discuss how you’ve applied statistical techniques or machine learning in past projects, as this will show your practical understanding of the role.
✨Show Off Your Python Skills
Since strong Python coding skills are essential, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to data analysis and quantitative modelling beforehand.
✨Understand the Business Context
Familiarise yourself with Deutsche Bank’s approach to market data and risk management. Being able to articulate how your work can support business growth and regulatory requirements will set you apart from other candidates.
✨Communicate Clearly
Excellent communication skills are key for this role. Practice explaining complex quantitative concepts in simple terms, as you may need to present your ideas to stakeholders who aren’t as technically savvy. This will demonstrate your ability to collaborate effectively within the team.
