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

Apply Now

Lead Behavioural Modeling Quantitative Strategist - Deutsche Bank

Jobs via eFinancialCareers
City of London
1 week ago
Create job alert

Lead Behavioural Modeling Quantitative Strategist


Location: London


Corporate Title: Director


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 work within the GSA Team and lead a regional model strategy and deployment of Transaction Monitoring. Your team delivers street leading models leveraging both qualitative and quantitative analytics on Deutsche Bank's clients' activities. You will work in a collaborative global team and focus on people development and career growth.


What We’ll Offer You

  • 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

  • Define and execute regional model framework for transaction monitoring including coverage, data, model development and optimisation, ensuring alignment with global strategy.
  • Manage cross‑functional teams on large‑scale model development and deployment projects. Be a trusted partner with regional Anti‑Financial Crime to translate coverage gaps into model design proposals based on data analytics and end‑to‑end impact.
  • Support and implement key data initiatives, including but not limited to data lineage, data quality controls and data quality issue management.
  • Ensure monitoring systems and scenarios adhere to all model governance standards and that detailed metrics & reporting are developed to provide transparency and maintain effectiveness of transaction monitoring models.
  • Identify and assess new and emerging technologies that can be used to enhance Deutsche Bank's detection through internal or vendor solutions.
  • Represent the function in regulatory discussions, audits and internal committees. Travel likely to be required.

Your skills and experience

  • Master’s or PhD degree or equivalent qualification/work experience in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics).
  • Hands‑on experience in model development, including leadership roles.
  • Experience managing a team, designing and deploying quantitative models in a large financial institution, preferably in Front Office.
  • Recent and relevant hands‑on experience utilising state‑of‑the‑art Machine Learning and Artificial Intelligence, preferably with experience in a regulatory enforcement environment.
  • Experience with data, ability to clearly articulate data requirements as they relate to Transaction Monitoring, including comprehensiveness, quality, accuracy and integrity.
  • Strong interpersonal and communication skills, experience developing and communicating a sound strategy that addresses both short‑term commitments and longer‑term strategic goals.

How we’ll support you

  • 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 (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. We strive for a culture in which we are empowered to excel together every day. We are proud to have been named in the Times Top 50 Employers for Gender Equality 2024 and to have received a Gold Award from Stonewall.


We welcome applications from all people and promote a positive, fair and inclusive work environment.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Behavioural Modeling Quantitative Strategist

Head of Data Science

Lead Research Data Scientist | Fraud Detection in Market Research

Lead Research Data Scientist | Fraud Detection in Market Research

Lead Research Data Scientist | Fraud Detection in Market Research

Lead Research Data Scientist | Fraud Detection in Market Research

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.