Senior Quantitative Engineer, Global Risk & Data Pipelines

Bank of America; Bromley; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private healthcare

Pension plan

Paid maternity leave

Flexible benefits

Volunteer days

Job summary

Bank of America in Bromley seeks a Quantitative Engineer to help design and oversee scalable data components for Global Risk.

You will work with senior modelers, risk managers and technologists to build data pipelines, apply quantitative methods and deliver robust models and tests for regulatory and business needs.

This is a collaborative, high-impact role offering exposure to senior stakeholders and opportunities to shape risk analytics.

Qualifications

• Strong Python programming and software development lifecycle knowledge.
• Experience with big data and distributed computing.
• Clear communication with senior stakeholders and auditors.
• Bachelor's degree in CS or related field; financial risk domain is a plus.

Responsibilities

• Improve quality and efficiency of data processing and pipelines.
• Collaborate with senior stakeholders across GRA, Front Line Units, Technology, Audit.
• Provide leadership to less experienced team members.
• Develop models and tests using quantitative methods.
• Design and implement scalable data analytics capabilities.

Skills

Python

Software engineering

Big data

Communication

Regulatory & risk awareness

Education

Bachelor's degree in Computer Science or related field

Job description

Bank of America in Bromley seeks a Quantitative Engineer to help design and oversee scalable data components for Global Risk.

You will work with senior modelers, risk managers and technologists to build data pipelines, apply quantitative methods and deliver robust models and tests for regulatory and business needs.

This is a collaborative, high-impact role offering exposure to senior stakeholders and opportunities to shape risk analytics.