Quantitative Credit Strategist
Deutsche Bank is hiring a Quantitative Credit Strategist in London, United Kingdom. Level rates it ; you can apply on Deutsche Bank.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Python, C and JavaScript among its tools and skills.
- Level classes it as a mid-level role.
- Deutsche Bank has 1,100+ other open roles on Level.
- Posted within the past week.
AI in this role
Develop risk, P&L, and trading analytics solutions using quantitative methods, machine learning, and NLP on a trading floor.
Job Description:
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 the quantitative credit strategists 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 (P&L) and pre-trade flow and relative value analytics solutions to bond trading and sales. You will be a highly motivated self-starter 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 (KDB+/Q, Python, C++, Javascript). The position is full time on the trading floor in London and requires rapidly reacting 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.
You can expect:
- 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 flow analytics/risk/p&L systems
- Actively collaborate in system architecture and design, ensuring a clear understanding of how components at all levels interact across the overall system
- Discussing problems with the trading desk and gathering requirements for potential solutions.
- Implementing flow analysis Management Information Systems (MIS) and reporting (e.g. volumes, market shares, hit rates, client profitability analysis)
- Development of pre-trade analytics to support trading decisions (computing trade relative value metrics and strategy back testing)
- Modelling expertise for a variety of quantitative problems the business has (e.g. portfolio optimization, flow matching, trade prospect ranking)
Your skills and experience
- 3+ years front office investment banking experience in technical or quant roles
- Highly proficient with programming in one or more of KDB+/Q, Python, C++, Javascript with experience in working with Software Development Lifecycle (SDLC) tools in a collaborative environment (git/bitbucket/JIRA etc.)
- Advanced Degree (PhD OR Masters) in a relevant subject such as Mathematics/Natural Science/Computer Science/Engineering
- Experience working with data, both in onboarding, cleaning and curating data in databases as well as analysis and presentation
- Experience in web development using JavaScript, Python, HTML5 with good analytical and quantitative skills. Experience of machine learning and natural language processing is desirable
- 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 culture of continuous learning to aid progression
- 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. Click here to see what we do.
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 on 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.
How we rate this
Quantitative Credit Strategist at Deutsche Bank rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where natural language processing was part of your work. What did you do?
- Tell me about a project where quantitative finance was part of your work. What did you do?
- Tell me about a project where risk analytics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: NLP, Machine learning, Natural Language Processing, Quantitative Finance, and Risk Analytics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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