Quant Platform Engineer

Description

You would join the credit technology team in London on a hybrid basis, working as a Quant Platform Engineer.

The company is a large global asset manager, the asset management arm of Prudential Financial, Inc., with about US$1.5 trillion under management as of 30 September 2025, offices in 19 countries and a history of roughly 150 years.

The role supports the Quantitative Modelling and Strategies group, which builds investment analytics for portfolio and research teams.

Responsibilities

• Build and extend the platforms, tools and data infrastructure that quant researchers and technology staff rely on.
• Develop scalable services, platforms and data pipelines so quant teams can build and run investment analytics.
• Write platform capabilities, services and tooling in Python.
• Support data platforms, quantitative libraries, distributed computing infrastructure and shared services.
• Work with quant researchers and technology teams to make sure platform work meets business needs.
• Take part in architecture, code reviews, testing, performance tuning and keeping systems reliable.
• Improve how the team works through automation, new ideas and sound engineering practice.

Requirements

• A bachelor's degree or higher in Computer Science.
• Experience building and shipping software, analytics or data platforms.
• Strong Python development skills.
• Experience with data engineering, distributed computing and processing large datasets.
• Experience working closely with quant researchers, investment teams and technology groups.
• Some understanding of fixed income, credit, asset management or financial markets more broadly.
• Clear analytical, problem-solving and communication skills, a team mindset and a focus on business results.
• Would set you apart: experience with quant analytics, risk, portfolio management, investment research or quant platforms.
• Would set you apart: experience with distributed computing or data frameworks such as Ray, Dask, Apache Spark, Apache Beam or similar.
• Would set you apart: experience with event-driven systems and messaging tools such as Kafka, RabbitMQ or similar.
• Would set you apart: experience with monorepos, CI/CD, automated testing and Python developer tooling.
• The company will consider applicants who do not meet every requirement, so apply if your skills fit the role.

Conditions

The role is based in London with a hybrid work pattern.

The company is a Disability Confident Level 1 employer and works to make its workplace inclusive and accessible.

If you need adjustments during the hiring process, raise them with your recruiter directly.

Benefits

• Private medical insurance, with the company paying the full premium for all employees.
• 25 to 28 days of annual leave on full pay, depending on years of service.
• Retirement savings plan with a company contribution of 10% of basic annual salary, plus employer matching of up to 5% of basic annual salary.
• Life assurance of 8 times basic annual salary, up to a maximum benefit of £1.8 million.
• Income protection paying 60% of basic annual salary for a limited payment term of 5 years, followed by a capital sum of 2 times basic annual salary at the end of that term.