Senior Quant Analytics Lead - AML Model Risk Validation

Bank of America; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A multinational financial services company is hiring a Senior Quantitative Financial Analyst for its Bromley office. This role focuses on quantitative modeling projects and risk validation, requiring an advanced degree and strong analytical skills. Ideal candidates will have proficiency in Python, SAS, and SQL, along with experience in model development. The position offers competitive benefits, including private healthcare and a pension plan. Join a diverse and inclusive team committed to personal growth and impactful work.

Benefits

Private healthcare for you and your family

Competitive pension plan

20 days of back-up childcare

Flexible benefits to suit personal circumstances

Access to mental health helplines

Employee Assistance Program

Charity donation matching

Discounted cultural membership programs

Volunteer opportunities

Qualifications

• Strong quantitative and analytical skills are essential.
• Experience in model development or validation is preferred.
• Must be familiar with the regulatory landscape.

Responsibilities

• Lead the development of new models for business units.
• Conduct end-to-end market risk stress testing.
• Analyze stress scenario results to identify key drivers.

Skills

Proven and diversified quantitative skills

Familiarity with Anti-Money Laundering techniques

Domain knowledge in model risk management

Proficiency in statistical methods

Proficient in Python

Proficient in SAS

Proficient in SQL

Excellent communication skills

Critical thinking skills

CAMS certification

Education

Advanced degree (PhD or Masters) in a quantitative field

Job description

A multinational financial services company is hiring a Senior Quantitative Financial Analyst for its Bromley office. This role focuses on quantitative modeling projects and risk validation, requiring an advanced degree and strong analytical skills. Ideal candidates will have proficiency in Python, SAS, and SQL, along with experience in model development. The position offers competitive benefits, including private healthcare and a pension plan. Join a diverse and inclusive team committed to personal growth and impactful work.