Deutsche Bank
Quantitative Strategist

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Job Description
Job Title
Quantitative Strategist
Location
London
Corporate Title
Analyst
About the Role
Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between Deutsche Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank.
You will be joining the Quantitative Research and Development (QRD) Lab within GSA. QRD’s central mission is to empower sales and trading function, and Deutsche Bank more broadly, with quantitative data-driven models and tools that leverage the latest developments in the Artificial Intelligence (AI)/Machine Learning (ML) space. You will be joining a focussed and dedicated team and have the opportunity to use your strong foundational knowledge and practical experience in the field of quantitative data science to deliver impactful solutions to the business. You will collaborate with colleagues in the team as well as with key stakeholders and partnering teams.
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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Your Key Responsibilities
- Work with partnering sales and trading (or related) teams to formulate the initiative’s problem statement, business case, proposed approach, delivery schedule, and Key Performance Indicators (KPI’s).
- Conduct the required research and development across the full life-cycle, from idea inception, to documentation and maintenance/improvements of the productionised solution.
- Keeping up to date with the latest developments in the field, and share knowledge with the broader team.
- Project management, coordination, and managerial oversight where required.
Your Skills and Experience
- Working knowledge in deep learning and/or natural language processing, and a strong foundation in mathematics and statistics (incl. probability, time-series modelling, optimisation)
- A track record of original research and hands-on production deliveries that evidence creativity, impact, attention to detail, and longevity of solutions.
- Experience analysing large structured and/or unstructured datasets
- Solid programming skills in Python. Other languages such as Java, C++, Kdb/q are a plus.
- Excellent academic/educational credentials, expected to be at an advanced specialist level (minimum MSc), and experience in Finance industry is a plus.
- Excellent interpersonal and communication skills with the ability to explain complex requirements in an easily understandable and effective way


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How We’ll Support You
- Training and development to help you excel in your career
- 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 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.
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