Lead Quant Platform Engineer – Finance Tech

Prudential Financial; City of Westminster; Hybrid; GBP 120,000 - 150,000; Full time

Benefits offered by this job

Private Medical Insurance

Annual Leave 25–28 days

Retirement Savings Plan

Life Assurance & Income Protection

Job summary

PGIM Credit Technology in London invites a seasoned Quant Platform Engineer to design and evolve platforms, data infrastructure, and analytics for the QMS group. You will work closely with quantitative researchers, technology teams, and data specialists to build scalable services and tooling.

The role emphasizes Python engineering, distributed computing, and large-scale data processing to support investment analytics and risk insights. Hybrid work in London offered.

Qualifications

• Bachelor's degree in Computer Science or equivalent.
• Significant experience building and delivering enterprise-scale software, analytics, and data platforms.
• Deep expertise in Python software development.
• Significant experience in data engineering, distributed computing and large-scale data processing.
• Experience building quantitative analytics, risk management, portfolio management, investment research, or quant platforms.
• Experience partnering closely with quantitative researchers, investment teams, and technology organizations.
• Understanding of fixed income, credit, asset management, or broader financial markets.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design and develop platform capabilities, services, and tooling using Python.
• Build and support data platforms, quantitative libraries, distributed computing infrastructure, and shared services used by QMS researchers and investment teams.
• Partner closely with quantitative researchers and technology teams to align platform capabilities with business needs.
• Contribute to architecture, code reviews, testing, performance optimization, and operational excellence.
• Drive continuous improvement through automation, innovation, and engineering best practices.
• Work at the intersection of technology and quantitative research to help QMS teams build and operate analytics.

Skills

Python development

Data engineering

Distributed computing

Quantitative analytics

Investment research

Fixed income knowledge

Communication skills

Collaboration

Education

Bachelor's degree in Computer Science

Tools

Ray

Dask

Apache Spark

Apache Beam

Kafka

RabbitMQ

Job description

PGIM Credit Technology in London invites a seasoned Quant Platform Engineer to design and evolve platforms, data infrastructure, and analytics for the QMS group. You will work closely with quantitative researchers, technology teams, and data specialists to build scalable services and tooling.

The role emphasizes Python engineering, distributed computing, and large-scale data processing to support investment analytics and risk insights. Hybrid work in London offered.