Name List Screening and Transaction Screening Model Strats

Deutsche Bank; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading banking institution in London seeks a Vice President to oversee model strategy for Name List Screening and Transaction Screening. The role focuses on collaborating within a global team, model tuning, and regulatory deliverables. Ideal candidates will have significant experience in financial modeling and data analytics, along with an advanced degree in a quantitative discipline. This position offers a competitive salary, hybrid working, and comprehensive benefits.

Benefits

Competitive salary

Non-contributory pension

30 days' holiday

Life Assurance

Private Healthcare

Flexible benefits

Qualifications

• Experience developing models in a financial services or FinCrime setting.
• Hands-on experience in data analysis and model development using SQL and Python.
• Expertise in utilizing quantitative scenarios in the context of AML transaction monitoring.

Responsibilities

• Lead design and calibration of models for NLS and TS systems.
• Perform data exploration and statistical analysis to inform tuning strategies.
• Document model logic and outcomes in line with governance standards.
• Monitor model performance metrics and investigate production anomalies.

Skills

Statistical analysis

Machine Learning

Python

SQL

Data analysis

Feature engineering

Education

Advanced degree in Mathematics, Computer Science, Data Science, Physics or Statistics

Job description

Description

Job Title Name List Screening and Transaction Screening Model Strats

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 be responsible for overseeing a global model strategy and deployment of Name List Screening (NLS) and Transaction Screening (TS).

You will work in a collaborative global team and focus on people development and career growth.

You will manage model tuning and development efforts, support regulatory deliverables, and collaborate with cross-functional teams including Compliance, Data Engineering, and Technology.

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

• Leading the design and calibration of models for NLS and TS systems, ensuring optimal detection quality and manageable alert volumes
• Performing data exploration, feature engineering, and statistical analysis to inform tuning strategies
• Documenting model logic and outcomes in line with governance and validation standards
• Take ownership of specific model projects, from requirements gathering through to development, testing, and implementation
• Supporting small teams or working groups for agile delivery, working together with developers, QA, and operations stakeholders
• Monitoring model performance metrics and investigating anomalies in production environments.

Your skills and experience

• Advanced degree (Master’s or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics)
• Experience developing models in a financial services or FinCrime setting
• Experience in model development, risk analytics, or quantitative compliance, preferably within financial crime or transaction monitoring
• Preferred - Expertise utilizing quantitative scenarios in the context of AML transaction monitoring
• Experience utilizing Machine Learning and Artificial Intelligence
• Recent and relevant hands‑on experience in SQL, Python for data analysis and model development

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

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

Deutsche Bank in the UK is proud to have been named for six consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their for our work supporting LGBTQ+ inclusion.

We strive for a 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.