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About the Role

You will work within the GSA team as part of a global model strategy and deployment of NLS and TS. You will be familiar with financial crime processes, the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. You will work on key model initiatives within a cross-regional team and contribute directly to Deutsche Bank’s risk mitigation efforts against financial crime. You will support model development efforts, model effectiveness testing & tuning, support regulatory deliverables, and help collaborate with cross-functional teams including Compliance, Data Engineering, and Technology.

Responsibilities

Support the design and implementation of the model framework for NLS and TS including coverage, data, model development and optimisation.
Document model inputs (clients, transactions, lists), model logic and liaise with Compliance and Model Risk Management teams to ensure screening systems and scenarios adhere to all model governance standards.
Perform model testing & tuning including all performance monitoring activities for NLS.
Ensure detailed metrics & reporting are developed to provide transparency and maintain effectiveness of NLS screening models.
Participate in research projects on innovative solutions to make detection models more pro-active.
Support all examinations and reviews performed by regulators, monitors, and internal audit.

Requirements

Advanced degree (Master’s or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics).
Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office.
Experience in data analytics or screening model development.
Subject Matter Expertise and industry knowledge of key financial crime risks, screening systems and associated data, including lists and screening platforms provided by industry vendors.
Experience of utilizing Machine Learning and Artificial Intelligence in financial crime scenarios.
Experience with data and the ability to clearly articulate data requirements as they relate to NLS and TS.
Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to be able to explain complex concepts effectively.

Skills

python
spark
cloud environments
Machine Learning
Artificial Intelligence

Location

London

Work Type

Hybrid Working

Experience Level

Associate

Education Level

Master’s
PhD

Salary/Compensations

Competitive salary

Benefits

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
Retail Discounts
Bike4Work scheme
Gym benefits
The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year
Training and development
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

About the Company

Deutsche Bank is the leading German bank with strong European roots and a global network.
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.
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.

Equal Opportunity

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