Senior Quantitative Finance Analyst, AML Model Risk Validation

Job Description

Corporate Title: Director

Location: Bromley

Company Overview: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. We are committed to being a diverse and inclusive workplace and offer competitive benefits to support the well‑being of our employees and families.

Location Overview: Bromley office, one of London’s greenest boroughs with easy commuting routes and central London just 15 minutes away by train.

Role Description: This role is responsible for conducting quantitative analytics and complex modelling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, and system approaches, creating technical documentation, and collaborating with Technology staff in system design to run models. The role may involve influencing strategic direction and developing tactical plans.

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• Perform end‑to‑end market risk stress testing including scenario design, implementation, results consolidation, and internal/external reporting.
  
• Lead planning related to setting quantitative work priorities in line with the bank’s overall strategy.
  
• Identify continuous improvements through review of approval decisions on model development or validation tasks, providing technical documentation feedback, and challenging model decisions.
  
• Maintain oversight of model development and model risk management in the focus areas to support business requirements and the enterprise’s risk appetite.
  
• Provide methodological, analytical, and technical guidance to challenge and influence the strategic direction and tactical approaches of development/validation projects.
  
• Work closely with model stakeholders and senior management on communication of submission and validation outcomes.
  
• Perform statistical analysis on large datasets and interpret results using qualitative and quantitative approaches.
  

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• Proven and diversified quantitative skills.
  
• Knowledge of Anti‑Money Laundering techniques, typologies, and regulatory landscape.
  
• Experience with modeling techniques, including sampling methods and AML coverage assessments.
  
• Experience in model development and/or validation is a plus.
  
• Advanced knowledge of statistical methods, techniques, and financial data.
  
• Proficiency in Python, SAS, and SQL.
  
• Excellent written and verbal communication skills and collaboration ability.
  
• Critical thinking and ability to work independently to identify, debate, and resolve issues.
  
• CAMS certification (preferred).
  

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• Advanced degree (PhD or Master’s) in a quantitative field such as Mathematics, Physics, Finance, Economics, Engineering, Computer Science, Statistics, or related fields.
  

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• Private healthcare for you and your family and an annual health screen.
  
• Competitive pension plan, life assurance, and group income protection cover.
  
• 20 days of backup childcare and backup adult care per annum.
  
• Flexible benefits with a wellbeing account, travel insurance, critical illness cover, and more.
  
• Wellbeing helpline, mental health first aiders, and virtual GP services.
  
• Employee Assistance Programme for confidential support.
  
• Payroll donation match to charities of your choice.
  
• Arts & Culture membership and community volunteering opportunities.
  

We are an equal opportunities employer. No applicant is subject to less favourable treatment on the grounds of sex, gender identity or gender reassignment, marital or civil partner status, race, religion or belief, colour, nationality, ethnic or national origins, age, sexual orientation, pregnancy or maternity, socio‑economic background, responsibility for dependants, or physical or mental disability. We verify that all candidates undergo an accessible recruitment process and encourage any applicant to tell us about any adjustment requirements.