Name and Transaction Screening Model Strats, AVP

Role Description

• Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank.
• You will work within the Global Strategic Analytics Team and lead a team of 5 Associates to support a global model strategy and deployment of Name & Transaction Screening. To be successful in that role, you will be familiar with 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 in a collaborative global team and focus on people development and career growth.
• The purpose of Name & Transaction Screening is to identify and investigate clients and customer transactions that come into scope per sanctions screening requirements, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. Reporting to the Name & Transaction Screening Lead within Trader and Client Control Strats, you will be responsible for implementing and maintaining the models for Name & Transaction Screening. You will help ensure that all relevant criminal risks, typologies, products, and services are properly monitored.
• We are looking for a high-performing Assistant Vice President with 5+ years of experience in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name Screening (NLS) & Transaction Screening (TS). This role offers the opportunity to drive key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime.
• You will drive model tuning and development efforts, support regulatory deliverables, and collaborate with cross-functional teams including Compliance, Data Engineering, and Technology.

Your key responsibilities

Model Development & Tuning

• Manage a team of 5 Associates to support the design and calibration of models for NLS and TS systems, ensuring optimal detection quality and manageable alert volumes.
• Support data exploration, feature engineering, and statistical analysis to inform tuning strategies.
• Document model logic, decisions, and outcomes in line with governance and validation standards.

Project Engagement

• Contribute to specific model projects, from requirements gathering through to development, testing, and implementation.
• Coordinate small teams or working groups for agile delivery, working with developers, QA, and operations stakeholders.

Performance Monitoring & Validation Support

• Monitor model performance metrics and investigate anomalies in production environments.
• Partner with model validation and internal audit to respond to queries and provide supporting analysis.

Stakeholder Engagement

• Liaise with regional Compliance teams and operational users to gather feedback on model effectiveness.
• Contribute to presentations and technical reports for governance forums and senior stakeholders.

Process Improvement

• Contribute to continuous improvement of the model development framework and documentation standards.
• Proactively identify opportunities for automation, efficiency, or application of advanced analytics.

Your skills and experience

Experience:

• 5+ years in model development, risk analytics, or quantitative compliance, preferably within financial crime or sanctions screening.
• Familiarity with financial crime systems (e.g., Actimize, Fircosoft, or equivalent platforms) and regulatory frameworks (e.g., AMLD, OFAC, FCA guidance).

Technical Skills:

• Recent and relevant hands-on experience in SQL, Python for data analysis and model development.
• Strong Excel and data visualization skills; experience using Power BI or Tableau is a plus.
• Understanding of statistical techniques such as threshold optimization, precision/recall, ROC curves.

Soft Skills:

• Strong analytical and problem-solving abilities.
• Ability to communicate complex technical content to non-technical stakeholders.
• Highly organized, with strong attention to detail and documentation quality.