Quantitative Engineer, Big Data & Risk Analytics

Bank of America; London Borough of Bromley; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Private healthcare

Pension plan

Flexible benefits

Wellbeing support

Job summary

Bank of America in Bromley is seeking a Quantitative Engineer to design and implement scalable data and analytics components within Global Risk. You will collaborate with modelers, risk managers, and technologists to translate requirements into robust software and reusable data pipelines.

You should have strong Python, big data, and quantitative modelling skills, with experience building production-grade solutions in a fast-paced financial environment.

Qualifications

• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• Several years of professional coding experience showing problem solving.
• Strong programming skills in Python and understanding of SDLC.

Responsibilities

• Apply quantitative methods to meet risk and regulatory requirements.
• Understand financial data schemas, flow, size, and data controls.
• Build performant big data pipelines.
• Deliver high quality code for model and testing processes.
• Collaborate with stakeholders across the Bank to understand modelling needs.
• Design and implement models and tests for internal and regulatory purposes.
• Produce clear technical documentation for models and tests.

Skills

Python

Software development lifecycle

Big data

Modelling / quantitative methods

Web UI technologies

Pandas

Education

Bachelor’s degree in Computer Science or related field

Tools

Pandas

Spark / PySpark

Hadoop

Hive

Job description

Bank of America in Bromley is seeking a Quantitative Engineer to design and implement scalable data and analytics components within Global Risk. You will collaborate with modelers, risk managers, and technologists to translate requirements into robust software and reusable data pipelines.

You should have strong Python, big data, and quantitative modelling skills, with experience building production-grade solutions in a fast-paced financial environment.