Quantitative Engineer

Salary: £58,000 - 98,000 per year

Requirements:

• Bachelors degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus, or equivalent work experience
• Several years of relevant professional experience or evidence of personal projects and endeavours that show a passion for coding and problem solving
• Strong programming skills, for example Python, and a solid understanding of software development lifecycle principles
• Candidates should meet all or a subset of the following technical skills: software engineering, big data, and modelling / quantitative skills
• Software engineering experience, including modular code, software lifecycle processes, unit testing, and regression testing
• Big data experience, including distributed computing paradigms and optimizing distributed software
• Modelling / quantitative experience, including basic modelling techniques such as regression, classification, and clustering
• Strong analytical and problem-solving skills
• Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions
• Experience with large-scale data sets with structured or unstructured data
• Experience building user-facing applications over large amounts of data using technologies like React, Angular, or JavaScript
• Experience implementing process improvements and automation
• Strong Python development skills, including Pandas and related data-processing libraries
• Experience with big data technologies such as Spark, PySpark, Hadoop, and Hive
• Exposure to quantitative modelling or financial modelling is a plus but not required
• Global Risk Management experience is helpful

Responsibilities:

• Apply quantitative methods to develop capabilities that meet line of business, risk management, and regulatory requirements
• Understand financial data, including schemas, flow, size, data issues, and data controls
• Build 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
• Maintain and continuously enhance capabilities over time to respond to changing portfolios, economic conditions, and emerging risks
• Source and evaluate data required for modelling and testing
• Design, develop, and implement models and tests
• Produce clear, concise, and repeatable technical documentation for models and tests for internal and regulatory purposes

Technologies:

• Angular
• Big Data
• Flow
• Hadoop
• Hive
• Support
• JavaScript
• Machine Learning
• Python
• PySpark
• React
• Spark
• pandas
• UX UI Design
• LESS

More:

We are Bank of America, and our purpose is to help make financial lives better through the power of every connection. We are committed to Responsible Growth and to being a diverse and inclusive workplace, investing in our teammates and their families with competitive benefits to support physical, emotional, and financial well-being. This is a full-time Quantitative Engineer role at our Bromley office, part of Global Risk, with opportunities to work across data, logic, model, UI, and UX in a collaborative environment. Our Bromley location offers easy commuting routes, with central London just 15 minutes away by train. We also offer a broad benefits package in the UK, including private healthcare, a competitive pension plan, life assurance, group income protection, family leave arrangements, flexible benefits, wellbeing support, gym and app access, charity matching, and volunteering opportunities.

last updated 36 week of 2026