Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Model Developer, Trading and Client Controls

Deutsche Bank
London
11 months ago
Applications closed

Related Jobs

View all jobs

Moody's Insurance Solutions Graduate Program - Data Science

Energy Data Scientist - Short-Term Power Markets

Energy Data Scientist - Short-Term Power Markets

Energy Data Scientist

Machine Learning Engineer (Recsys)

Senior Quant/Risk Professional - Machine Learning, Surveillance

Job Description:

Job TitleModel Developer, Trading and Client Controls

LocationLondon

Corporate TitleVice President

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.

The Trading and Client Controls (TaCC) team sits within Deutsche Bank's Group Strategic Analytics. With group-wide responsibility for model development, GSA takes a cross-business and cross-functional approach to solving complex quantitative encounters. The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Banks, to develop bespoke anomaly detection models. Our subject matter and datasets are complex, continually evolving and varied, so we are recruiting people who are highly motivated and highly skilled.

You will be responsible for driving the development of our core models and controls to help identify fraud. As part of this, you will take ownership of a problem set, manage stakeholders, and drive growth of a high-quality code base.

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 Hybrid Working 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

  • Drive model implementation (from prototype to production), following rigorous coding, testing, and documentation best practice
  • Develop and evolve platform reporting statistics/data to monitor ongoing model success
  • Engage key stakeholders to understand needs and requirements
  • Provide guidance on usage and translating needs for changes/ new models into technical proposals

Your skills and experience

  • Previous relevant experience conducting data science or model development in a business setting
  • Educated to Bachelor's degree level or equivalent qualification/relevant work experience
  • Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy)
  • Excellent analytical and data science skills, including ability to independently drive research
  • Excellent communication skills, both written and verbal. Ability to manage multiple stakeholders is beneficial
  • Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection/Machine Learning, project management

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 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 (for example, 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 in The Times Top 50 Employers for Gender Equality 2024 for five 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.

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.

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.