Lead, Quant Engineer

Posted 3 Days Ago
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London, Greater London, England, GBR
In-Office
Expert/Leader
Financial Services
The Role
Build and evolve Python-based platforms, quantitative libraries, data infrastructure, distributed computing systems, and developer tooling for quantitative research and investment analytics. Partner with quantitative researchers and technology teams on architecture, testing, performance optimization, automation, and operational excellence. The role requires enterprise-scale software and data platform experience, strong Python expertise, quantitative or investment technology knowledge, and familiarity with financial markets.
Summary Generated by Built In
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.

*PGIM welcomes all applicants, even if you don't meet every requirement. If your skills align with the role, we encourage you to apply.


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 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. We want to see our employees excel from their first day with the firm and throughout their tenure with PGIM. We will inspire you, support you, and help you reach your greatest personal and professional aspirations. If PGIM sounds like the place for you, join us. For more information about PGIM, visit PGIM.com.


Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.


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. We are intentional about creating a workplace where everyone has a voice and is welcomed, valued, respected and understood. From the moment people join PGIM, we pledge to help them unlock their full potential. Together, we are shaping a future where talent knows no boundaries.


-

Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.
Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services, some of which may not be available in your area.
We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand.
Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law.
We are a Disability Confident Level 1 Employer, committed to creating an inclusive and accessible workplace for disabled people.
 
If you require workplace adjustments to the hiring process, please discuss those with your recruiter directly.

Skills Required

  • Bachelor's degree or higher 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 quantitative platforms
  • Experience partnering 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
  • Experience with distributed computing and data processing frameworks such as Ray, Dask, Apache Spark, or Apache Beam
  • Experience with event-driven architectures and messaging platforms such as Kafka or RabbitMQ
  • Experience with monorepos, CI/CD, automated testing, and Python developer tooling

PGIM Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PGIM and has not been reviewed or approved by PGIM.

  • Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision options, complemented by behavioral health programs and wellness reimbursements. On-site fitness centers and health coaching further support physical and mental well-being.
  • Retirement Support — Retirement programs feature a 401(k) with company match and a company-funded pension, with access to an employee stock purchase program. Student loan repayment assistance and savings plans add to long-term financial support.
  • Wellbeing & Lifestyle Benefits — Work-life balance is reinforced by flexible/hybrid work options, paid holidays and sick allowances, and amenities like gym access, free parking, and an affordable cafeteria in some locations. Tuition reimbursement, commuter benefits, and broad work/life resources extend lifestyle support.

PGIM Insights

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The Company
HQ: Newark, NJ
3,593 Employees

What We Do

PGIM, the investment management business of Prudential Financial, Inc.* is a multi-manager that delivers industry-leading strategies and solutions to clients. Each business maintains its own investment process and culture, allowing for a singular focus on delivering investment returns for clients. The PGIM businesses offer investors a wide range of investment strategies across asset classes and geographies, including public equities, public and private fixed income, commercial mortgages and real estate. Clients of PGIM can rely on superior long-term performance, risk management expertise and innovative products to help them realize a wide range of business objectives. In addition, PGIM uses its collective knowledge and business expertise to work with public, private and non-profit sector partners to create solutions that address critical social issues that have an enduring impact. *Prudential Financial, Inc. of the United States is not affiliated in any manner with Prudential plc, incorporated in the United Kingdom or with Prudential Assurance Company, a subsidiary of M&G plc, incorporated in the United Kingdom.

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