At a Glance
- Tasks: Build and evolve platforms for quantitative modelling and investment analytics.
- Company: Join PGIM, a global leader in asset management with a diverse culture.
- Benefits: Enjoy private medical insurance, generous annual leave, and a solid retirement plan.
- Other info: Be part of a team that values innovation and continuous improvement.
- Why this job: Make a meaningful impact while developing your skills in a collaborative environment.
- Qualifications: Degree in Computer Science and experience in Python and data engineering.
The predicted salary is between 56700 - 69300 £ per year.
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.
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.
- 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.
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 £1.8 million.
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.
Our Commitment to Diversity, Equity, and Inclusion: PGIM has a long-held commitment to advancing diversity, equity and inclusion, rooted in the belief that this is a prerequisite for PGIM’s success and sustainability. We work to attract, retain, develop and promote talent at all levels and aim to have a workforce that reflects the communities where we work, live and invest.
Quant Platform Engineer in London employer: 680 PGIM Limited
680 PGIM Limited is an attractive employer due to its commitment to diversity and inclusion, as well as its focus on professional growth and skill development. Employees are encouraged to challenge the status quo and contribute to meaningful financial solutions. The collaborative work environment fosters respect and innovation, making it a great place to build a career.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Platform Engineer in London
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We think you need these skills to ace Quant Platform Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at 680 PGIM Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 680 PGIM Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at 680 PGIM Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If 680 PGIM Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
