At a Glance
- Tasks: Develop cutting-edge software for risk and PNL analytics in a dynamic trading environment.
- Company: Join Deutsche Bank's innovative quantitative credit Strats team.
- Benefits: Competitive salary, generous holiday, private healthcare, and flexible benefits.
- Other info: Enjoy a supportive culture with coaching and career development opportunities.
- Why this job: Make an impact with ML and AI while supporting trading decisions.
- Qualifications: 2+ years in a quant role, programming skills, and a strong academic background.
The predicted salary is between 60000 - 80000 £ per year.
Join the quantitative credit Strats team supporting Deutsche Bank’s European Flow Credit and Emerging Markets business. The role focuses on delivering risk, profit and loss (PNL), pre‑trade flow and relative value analytics to bond trading and sales.
Responsibilities include:
- Building production‑quality software applications, reporting tight timescales and incorporating NLP, ML and AI techniques to leverage large data sets.
- Develop and support daily risk and PNL systems.
- Provide desk support, respond to live challenges and gather requirements efficiently.
- Implement flow analysis MIS and reporting (volumes, market shares, hit rates, client profitability).
- Develop pre‑trade analytics to support trading decisions (relative value metrics, strategy back‑testing).
- Provide quantitative modelling expertise (portfolio optimisation, flow matching, trade prospect ranking).
Your Skills And Experience:
- 2+ years in a front‑office technical/quant role within investment banking.
- Proficiency in programming (C++, Python, kdb, Java, JavaScript) and SDLC tools (Git, Bitbucket, JIRA).
- Experience in data onboarding, cleaning, curating and analysis.
- First degree in Maths, Natural Science, Computer Science or Engineering; PhD or Masters desirable.
- Bonus experience in machine learning and natural language processing.
- Excellent interpersonal skills for collaboration and effective communication.
What We’ll Offer You:
- A healthy, engaged and well‑supported workforce with development and well‑being at its centre.
- 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.
- Flexible benefits including retail discounts, Bike4Work, gym benefits.
- Opportunity to support CSR programmes and 2 days’ volunteering leave per year.
How We’ll Support You:
- Coaching and support from team experts.
- Flexible benefits tailored to your needs.
- Reasonable adjustments for disability, e.g., assistive equipment.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
Credit Quant Strategist ML-Driven Risk & PNL employer: myGwork - LGBTQ+ Business Community
Deutsche Bank is an exceptional employer, offering a dynamic work environment that prioritises employee well-being and development. With competitive salaries, generous holiday allowances, and flexible benefits tailored to individual needs, employees are supported in both their professional and personal lives. The collaborative culture fosters growth opportunities, particularly for those in quantitative roles, making it an ideal place for innovative thinkers looking to make a meaningful impact in the financial sector.
Contact Details:
myGwork - LGBTQ+ Business Community Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Credit Quant Strategist ML-Driven Risk & PNL
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in ML and risk analytics. Practice common interview questions and be ready to showcase your problem-solving abilities.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you and tailor your approach to each one!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Show your enthusiasm for the role and reiterate how your skills fit the team’s needs.
We think you need these skills to ace Credit Quant Strategist ML-Driven Risk & PNL
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in quantitative roles and programming skills. We want to see how your background aligns with the responsibilities of the Credit Quant Strategist position, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your skills in ML and data analysis can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Since this role involves programming and data analysis, make sure to mention your proficiency in languages like Python or C++. If you've worked with tools like Git or JIRA, give us the details – we want to know what you can bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets into the right hands, and we can’t wait to see what you’ve got!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in C++, Python, and any other languages mentioned in the job description. Be ready to discuss your experience with SDLC tools like Git and JIRA, as well as how you've used them in past projects.
✨Showcase Your Quant Skills
Prepare to talk about your quantitative modelling expertise. Think of specific examples where you've optimised portfolios or conducted flow matching. Being able to explain your thought process and the impact of your work will impress the interviewers.
✨Demonstrate Your Problem-Solving Ability
Since the role involves responding to live challenges, be ready to discuss how you've tackled unexpected issues in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Communicate Effectively
Strong interpersonal skills are key for this role. Practice explaining complex concepts in simple terms, as you'll need to collaborate with various teams. Show that you can communicate clearly and effectively, both verbally and in writing.
