Quantitative Data Scientist

Job Title Payment Behavioural Models Strat

Location London

Corporate Title Vice 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.

You will work within the GSA Team and lead a regional model strategy and deployment of Transaction Monitoring (TM). Your team delivers street‑leading models leveraging both qualitative and quantitative analytics on Deutsche Bank’s clients’ activities. You will be responsible for ensuring that all relevant criminal risks, typologies, products, and services are properly monitored.

• Hybrid Working – we have implemented a model that enables eligible employees to work remotely for part of their working time and to 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 Bike4
  
  Work scheme and Gym benefits
• The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year

• Implement, maintain and upgrade model framework for transaction monitoring including coverage, data, model development and optimisation
• Support and implement key data initiatives, including but not limited to data lineage, data quality controls and data quality issues management
• Liaise with Compliance and Model Risk Management teams to ensure monitoring systems and scenarios adhere to all model governance standards
• Oversee other team members and guide model calibration and optimisation efforts
• Participate in research projects on innovative solutions to make detection models more proactive
• Ensure models are interpretable, explainable, and auditable and that detailed metrics & reporting are developed to provide transparency and maintain effectiveness of transaction monitoring models
• Support all examinations and reviews performed by regulators, monitors and internal audit

• Educated to Master’s or Doctor of Philosophy (PhD) degree or equivalent qualification/work experience in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics)
• Experience developing models in a financial services or Financial Crime setting
• Experience designing, implementing (Python, Spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office – hands‑on approach needed
• Expertise utilising quantitative scenarios in the context of Anti‑Money Laundering (AML) transaction monitoring preferred
• Experience utilising Machine Learning and Artificial Intelligence
• Experience with data and the ability to clearly articulate data requirements as they relate to TM, including comprehensiveness, quality, accuracy and integrity. Knowledge of the Bank’s products and services, including those related to corporate banking, investment banking, private banking, and asset management

• 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)

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