Senior Quantitative Engineer — Global Risk & Data

Bank of America; Greater London; On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Private healthcare for you and your f 

Competitive pension plan

Job summary

Bank of America is seeking a Senior Quantitative Engineer in London to design and oversee scalable software components for Global Risk, enabling data and analytics across the firm. You will work with modelers, risk managers, and technologists to shape the future state of data and analytics in a high-impact role.

The role requires strong software engineering, big data, and quantitative modelling skills, with a focus on delivering enterprise-grade solutions and clear documentation for regulatory

Qualifications

• Several years of relevant work experience.
• Software engineering: modular code, lifecycle processes, unit testing, regression testing.
• Big data: distributed computing paradigms (e.g., mapreduce, dataframes), optimizing distributed software.
• Modelling / quantitative: basic modelling techniques (regression, classification, clustering).
• Bachelor’s degree in computer science or related field; software engineering focused program or equivalent experience.
• Experience in Quantitative Finance or other industries.
• Strong programming skills (e.g., Python) and understanding of SDLC principles.
• Proven track record of leading and executing enterprise-wide initiatives.
• Strong communicator able to explain methodologies to senior stakeholders, auditors and regulators.
• Strong analytical and problem-solving skills.

Responsibilities

• Seek opportunities for consistent improvement in quality, efficiency, and processes.
• Partner with senior stakeholders within GRA, Front Line Units, Technology, Audit and Compliance.
• Provide leadership and oversight to less experienced team members.
• Apply quantitative methods to develop capabilities that meet risk and regulatory requirements.
• Understand financial data: schemas, flow, size, data issues, data controls.
• Build performant big data pipelines.
• Deliver high-quality code for models and tests across the lifecycle.
• Collaborate with stakeholders to understand modelling and testing requirements.
• Think outside the box to develop innovative approaches.
• Maintain and enhance capabilities to respond to changing portfolios and risks.
• Source and evaluate data required for modelling and testing.
• Design, develop and implement models and tests.
• Produce clear technical documentation for internal and regulatory purposes.

Skills

Software engineering

Big data

Quant modelling

Python

Communication

Leadership

SDLC

Education

Bachelor's in CS

Job description

Bank of America is seeking a Senior Quantitative Engineer in London to design and oversee scalable software components for Global Risk, enabling data and analytics across the firm. You will work with modelers, risk managers, and technologists to shape the future state of data and analytics in a high-impact role.

The role requires strong software engineering, big data, and quantitative modelling skills, with a focus on delivering enterprise-grade solutions and clear documentation for regulatory