Lead, Quant Engineer

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

Lead, Quant Engineer | PGIM Credit Technology

London based, Hybrid

A GLOBAL LEADING ASSET MANAGER WITH A DIVERSE & INCLUSIVE CULTURE

As the Global Asset Management business of Prudential, we're always looking for ways to improve financial services. We're passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world.

We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you'll unlock a motivating and impactful career - all while growing your skills and advancing your profession at one of the world's leading global asset managers!

If you're not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that's investing in your future by shaping tomorrow today.

At PGIM, You Can!

What you will do

As a Quant Platform Engineer within PGIM Credit Technology, you will build and evolve the platforms, tooling, and data infrastructure that support the Quantitative Modelling and Strategies (QMS) organization. Working closely with quantitative researchers, technology teams, and data specialists, you will develop scalable platforms, services, and data infrastructure that enable quant teams to build and operate investment analytics.

This role combines strong Python engineering, data engineering, and distributed computing expertise with close partnership across both quant and technology organizations.

What you can expect

• 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.

This role is ideal for an engineer who enjoys building platforms, data infrastructure, and developer tooling that enable quantitative research and investment analytics. The successful candidate will work at the intersection of technology and quantitative research, helping QMS teams build and operate analytics more effectively.

What you will bring

• 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.

What will set you apart?

• Experience with distributed computing and data processing frameworks such as Ray, Dask, Apache Spark, Apache Beam, or similar technologies.
• Experience with event-driven architectures and messaging platforms such as Kafka, RabbitMQ, or similar technologies.
• Experience with modern software engineering practices including monorepos, CI/CD, automated testing, and Python developer tooling.

What we offer you

• Private Medical Insurance: PGIM offers private medical insurance and pays the full premium on behalf of all employees.
• Annual Leave of 25 to 28 days, based on years of service, at full pay.
• Retirement Savings Plan: Employees receive a company contribution of 10% basic annual salary and a maximum employer-matching contribution of 5% of basic annual salary.
• Life Assurance & Income Protection: Life Assurance for 8 times your basic annual salary, up to a max benefit of £1.8million. 60% of your basic annual salary for a limited payment terms of 5 years, at the end of which a capital sum of 2x your basic annual salary is payable.

About PGIM - Global Asset Management

PGIM is the global asset management business of Prudential Financial, Inc. (NYSE: PRU), a leading global investment manager with nearly US$1.5 trillion in assets under management as of September 30th 2025. With offices in 19 countries, PGIM's businesses offer a range of investment solutions for retail and institutional investors around the world across a broad range of asset classes, including public fixed income, private fixed income, fundamental equity, quantitative equity, real estate and alternatives.

With a history dating back 150 years, and exp