Senior Quantitative Engineer: Big Data & Risk Analytics

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

Benefits offered by this job

Private healthcare

Pension plan

Maternity leave

Flexible benefits

Job summary

Bank of America in Bromley, United Kingdom is seeking a Quantitative Engineer to design and oversee scalable data analytics components for Global Risk.

You will collaborate with senior modelers and technologists, apply quantitative methods, build large-scale data pipelines, and deliver high-quality code across the lifecycle.

Strong programming skills (Python) and a proven record leading enterprise initiatives are highly valued.

Qualifications

• Several years of relevant work experience.
• Software engineering: modular code, software lifecycle processes, unit testing, regression testing.
• Big data: distributed computing paradigms, optimizing distributed software.
• Modeling / quantitative: basic modelling techniques (regression, classification, clustering).
• Strong Programming skills (e.g., Python) and understanding of SDLC principles.
• Proven track record of leading and executing enterprise-wide initiatives.

Responsibilities

• Seek opportunities for consistent improvement in quality, efficiency, and processes.
• Partner effectively with senior stakeholders within GRA, Front Line Units, Technology, Audit and Compliance.
• Provide leadership and oversight to less experienced team members.
• Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements.
• Understanding financial data: schemas, flow, size, data issues, data controls, etc.
• Building performant big data pipelines.
• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes.
• Collaborate with key stakeholders across the Bank to understand modelling and testing business processes and requirements.
• Think outside the box of current industry standards to develop innovative approaches.
• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks.
• Source and evaluate data required for modelling and testing.
• Design and develop and implement models and tests.
• Produce clear, concise and repeatable technical documentation models and tests for internal and regulatory purposes.

Skills

Software engineering

Big data

Modeling / quantitative

Python

Stakeholder communication

Education

Bachelor's degree in computer science

Tools

React

Angular

JavaScript

Job description

Bank of America in Bromley, United Kingdom is seeking a Quantitative Engineer to design and oversee scalable data analytics components for Global Risk.

You will collaborate with senior modelers and technologists, apply quantitative methods, build large-scale data pipelines, and deliver high-quality code across the lifecycle.

Strong programming skills (Python) and a proven record leading enterprise initiatives are highly valued.