IT & Software

Lead, Quant Engineer

PGIM

London · Greater London · United Kingdom

Overview

As a Quant Platform Engineer in PGIM Credit Technology, you will build and evolve platform capabilities, data infrastructure, and tooling to support Quantitative Modelling and Strategies. You’ll work with quant researchers, data specialists, and tech teams to deliver scalable platforms and analytics infrastructure. The role blends Python engineering, data engineering, and distributed computing to empower investment analytics. You’ll drive architecture, testing, and automation to improve research-to-production workflows. This is an impact-focused role at the intersection of technology and quantitative research, enabling teams to operate analytics more effectively.

Pay / Benefits
  • Private medical insurance
  • Annual leave 25–28 days
  • Retirement savings plan with company contribution
  • Life assurance & income protection
  • Disability-inclusive employment commitment
Responsibilities
  • Design and develop platform capabilities, services, and tooling using Python
  • Build and support data platforms, quantitative libraries, distributed computing infrastructure, and shared services
  • Partner 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
Key requirements
  • Bachelor's or higher in Computer Science
  • Significant experience building enterprise-scale software, analytics, and data platforms
  • Deep expertise in Python software development
  • Experience in data engineering, distributed computing, and large-scale data processing
  • Experience building quantitative analytics, risk management, or investment research platforms
  • Experience partnering with quantitative researchers and investment teams
  • Understanding of fixed income, credit, asset management, or financial markets
  • Strong analytical, problem-solving, and communication skills with a collaborative mindset
  • collaboration
  • analytical thinking
  • problem-solving
  • Python
  • data engineering
  • distributed computing

Reference: WJ-747_31059416

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