Lead Quant Platform Engineer — Hybrid London

pru; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Private Medical Insurance: PGIM offers

Annual Leave 25–28 days

Retirement Savings Plan: company 10% +

Life Assurance & Income Protection

Job summary

PGIM Credit Technology in London is seeking a Lead Quant Platform Engineer to design and evolve platform capabilities, data infrastructure, and tooling for quantitative research and investment analytics. You will work closely with quantitative researchers and technology teams to deliver scalable solutions.

The role combines strong Python engineering with data engineering and distributed computing, enabling QMS to build and operate analytics effectively in a hybrid work environment.

Qualifications

• Bachelor's or higher degree in Computer Science.
• 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, with a collaborative mindset and focus on delivering business impact.

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.
• Collaborate across quant and technology organizations to enable scalable analytics for investment decision-making.

Skills

Python development

Data engineering

Distributed computing

Quant analytics

Collaboration

Communication

Fixed income knowledge

Education

Bachelor's or higher degree in Computer Science

Tools

Ray

Dask

Apache Spark

Apache Beam

Kafka

CI/CD

Monorepos

Job description

PGIM Credit Technology in London is seeking a Lead Quant Platform Engineer to design and evolve platform capabilities, data infrastructure, and tooling for quantitative research and investment analytics. You will work closely with quantitative researchers and technology teams to deliver scalable solutions.

The role combines strong Python engineering with data engineering and distributed computing, enabling QMS to build and operate analytics effectively in a hybrid work environment.