Quantitative Data Scientist

Deutsche Bank
London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Capacity Planning Data Scientist

Data Science Consultant

Job Description:

Job TitleQuantitative Data Scientist

LocationLondon

Corporate TitleVice President

Group Strategic Analytics 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 be joining the newly established Quantitative Research and Development (QRD) Lab within Group Strategic Analytics (GSA). QRD’s central mission is to empower sales and trading function, and the Bank more broadly, with quantitative data-driven models and tools that leverage the latest developments in the Artificial Intelligence/Machine Learning (AI/ML) space.

You will be joining a focussed and dedicated team and will 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 be working together with – or provide mentorship to – team members, as well as collaborating 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

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
  • 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

  • Expert working knowledge in deep learning and/or natural language processing, and a strong foundation in mathematics and statistics (including 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
  • Ability to communicate technical subject matter clearly and concisely tailored to diverse audiences
  • Solid programming skills in Python. Other languages such as Java, C++, Kdb/q are a plus
  • Comfortable working both as a strong sole contributor and as a member of a collaborative team effort. Excellent academic/educational credentials. Educated to minimum Master’s of Science (MSc) level or equivalent qualification/work experience and experience in the Finance industry is a plus

How we’ll support you

  • Training and development to help you excel in your career
  • Flexible working to assist you balance your personal priorities
  • 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 (for example, screen readers, assistive hearing devices, adapted keyboards)

About us

Deutsche Bankis the leading German bank with strong European roots and a global network. Clickhereto see what we do.

Deutsche Bank in the UK is proud to have been named inThe Times Top 50 Employers for Gender Equality 2024for five consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in theirTop 100 Employers 2024for our work supporting LGBTQ+ inclusion.

We strive for aculturein 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.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.