PRU

Quant Platform Engineer

In short

Quant Platform Engineer role at PGIM (Prudential's global asset management business), building platforms, data infrastructure, and tooling for the Quantitative Modelling and Strategies (QMS) organization in London. The job combines Python engineering, data engineering, and distributed computing, working closely with quant researchers and technology teams. Requires a Computer Science degree, strong Python expertise, and experience in data engineering, distributed computing, and financial markets (fixed income/credit). Hybrid role based in London with 24+ months of relevant experience expected.

Quant Platform 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!
Responsibilities (Задачи)
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.
Requirements (Требования)
•Bachelor's or higher degree in Computer Science
•Experience building and delivering software, analytics, and data platforms
•Expertise in Python software development
•Experience in data engineering, distributed computing, and large-scale data processing
•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 building quantitative analytics, risk management, portfolio management, investment research, or quant platforms
•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
PGIM welcomes all applicants, even if you don't meet every requirement. If your skills align with the role, we encourage you to apply.
Conditions (Условия)
•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.
Benefits
•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 £1.8 million; 60% of your basic annual salary for a limited payment term 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 experience through more than 30 market cycles, PGIM takes a long-term view, not only in our investment philosophy, but also in how we develop our talent.
Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.

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