Senior Quantitative Engineer, Global Risk Analytics

Bank of America; Bromley; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private health care

Pension plan

Flexible benefits

Job summary

Bank of America in Bromley, UK is seeking a Quantitative Engineer to design and implement scalable data and analytics components for Global Risk. You will work with modelers, risk managers and technologists to shape data-driven capabilities across the full data stack.

The role combines software engineering, big data and modelling, requiring collaboration across business and technology teams to deliver high-quality code for models, tests and regulatory documentation.

Qualifications

• Bachelor’s 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 relevant professional experience or evidence of personal projects and endeavours that show a passion for coding and problem solving.
• Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles.

Responsibilities

• 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

Python

Big Data

Data Pipelines

Software Engineering

SDLC

Pandas

Spark

Education

Bachelor’s degree in Computer Science or related field

Hands-on coding experience

Tools

Hadoop

Spark

Hive

PySpark

React/JS

Job description

Bank of America in Bromley, UK is seeking a Quantitative Engineer to design and implement scalable data and analytics components for Global Risk. You will work with modelers, risk managers and technologists to shape data-driven capabilities across the full data stack.

The role combines software engineering, big data and modelling, requiring collaboration across business and technology teams to deliver high-quality code for models, tests and regulatory documentation.