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- Tasks: Join a dynamic team to develop risk and PNL systems for credit trading.
- Company: Deutsche Bank, a leading global bank with a commitment to diversity and inclusion.
- Benefits: Competitive salary, 30 days holiday, private healthcare, and flexible benefits.
- Why this job: Make an impact in finance using cutting-edge tech like AI and machine learning.
- Qualifications: Experience in programming and a strong understanding of credit markets required.
- Other info: Opportunities for coaching, volunteering, and career growth in a supportive environment.
The predicted salary is between 43200 - 72000 £ per year.
Job Title Quantitative Credit Strategist
Location London
Corporate Title Associate
Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank.
You will join quantitative credit Strats team working alongside Deutsche Bank’s European Flow Credit and Emerging Markets business. Our credit trading businesses are fully committed to technology as a key differentiator of performance and the partnership with quant strategists is seen as crucial to the future success of the desk. You will be a member of a small agile team based in London delivering risk, profit and loss (PNL) and pre-trade flow and relative value analytics solutions to bond trading and sales. You will be a highly motivated self-starter and all-rounder with a working understanding of credit markets and the associated credit modelling mathematics, as well as being able to build production quality software applications and reports to tight timescales using appropriate technologies. You will be based on the trading floor and required to rapidly react to trader/sales/management demands in traditional ways but also using techniques in natural language processing (NLP) and machine learning (ML) and artificial intelligence (AI) to maximize our return on the large-scale data sets we curate.
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.
- 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
- Development and support of daily risk and PNL systems
- Providing desk support to trading on live challenges and gathering requirements for potential solutions efficiently
- Implementing flow analysis management information systems (MIS) and reporting (e.g. volumes, market shares, hit rates, client profitability)
- Development of pre-trade analytics to support in trading decisions (e.g. computing trade relative value metrics and strategy backtesting)
- Provide quantitative modelling expertise to trading (e.g. portfolio optimization, flow matching, trade prospect ranking)
Your skills and experience
- Good experience in a front office technical/quant role within investment banking
- Proficiency in programming preferably C++/Python/kdb/java/javascript and in working with standard SDLC tools in a collaborative environment (git/bitbucket/JIRA etc.)
- Experience working with data, both in onboarding, cleaning and curating data in databases as well as analysis and presentation
- First degree in Maths/Natural Science/Computer Science/Engineering, PhD or Masters desirable.
- Some experience of machine learning and natural language processing a bonus
- Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to be able to explain complex concepts effectively
How we’ll support you
- Coaching and support from experts in your team
- A range of flexible benefits that you can tailor to suit your needs
- 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 have been named The Times Top 50 Employers for Gender Equality 2025 for six consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their Top 100 Employers 2024 for our work supporting LGBTQ+ inclusion.
If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge at adjustmentsconcierge@db.com to discuss how we can best support you. Alternatively, you can share your phone number, and a member of the team will be happy to call you to talk through your specific requirements.
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.
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Quantitative Credit Strategist employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Credit Strategist
✨Tip Number 1
Network like a pro! Reach out to current employees at Deutsche Bank on LinkedIn or through mutual connections. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves programming and quantitative analysis, practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 3
Show off your passion for credit markets! During interviews, share your insights on recent trends or challenges in the industry. This will demonstrate your enthusiasm and knowledge, making you stand out.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Deutsche Bank.
We think you need these skills to ace Quantitative Credit Strategist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Quantitative Credit Strategist role. Highlight your programming proficiency and any relevant experience in investment banking to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about credit markets and how your background in quantitative analysis makes you a perfect fit for our team.
Showcase Your Technical Skills: Don’t forget to mention your programming skills, especially in C++, Python, or Java. We love seeing candidates who can build production-quality software and tackle complex data challenges!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Deutsche Bank
✨Know Your Numbers
As a Quantitative Credit Strategist, you'll need to demonstrate your understanding of credit markets and quantitative modelling. Brush up on key metrics like risk, PNL, and relative value analytics. Be ready to discuss how you would apply these concepts in real-world scenarios.
✨Showcase Your Coding Skills
Since programming is crucial for this role, make sure you can talk confidently about your experience with languages like C++, Python, or Java. Prepare to discuss specific projects where you've built production-quality software applications, and be ready to solve coding challenges during the interview.
✨Demonstrate Your Analytical Mindset
Expect questions that test your analytical skills, especially around data onboarding, cleaning, and analysis. Prepare examples of how you've used machine learning or natural language processing in past roles, and think about how you can leverage these techniques to enhance trading decisions.
✨Communicate Effectively
Strong interpersonal skills are key in this role. Practice explaining complex concepts in simple terms, as you'll need to collaborate with various teams. Think of examples where you've successfully communicated technical information to non-technical stakeholders.
