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Lead Developer - Macro Desk

JR United Kingdom

London

On-site

GBP 80,000 - 120,000

Full time

8 days ago

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Job summary

A leading global investment firm is looking for a Lead Quant Developer to drive the transformation of their macro analytics and trading infrastructure. The ideal candidate will architect cutting-edge solutions and collaborate closely with quantitative teams to optimize performance and scalability in a cloud-native environment.

Qualifications

  • Expert in modern C++ (17/20).
  • Strong skills in Python and experience with Excel integration.
  • Background in quantitative disciplines with leadership experience.

Responsibilities

  • Architect and build a next-generation macro analytics platform in modern C++.
  • Develop distributed systems and Monte Carlo engines for real-time pricing.
  • Collaborate with quants and traders to integrate analytics into front-end tools.

Skills

Modern C++
Python
Distributed Computing
Performance Optimization
Cloud-native Deployment

Tools

Docker
Kubernetes

Job description

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Job Description

We're partnering with a global investment firm on a greenfield rebuild of its macro analytics and trading infrastructure. This cloud-native platform will power high-performance pricing and risk systems across discretionary and systematic strategies.

As Lead Quant Developer, you'll drive this transformation—leading a team to deliver scalable, production-grade solutions at the intersection of quant finance and advanced engineering.

Responsibilities
  • Architect and build a next-generation macro analytics platform in modern C++, optimized for performance and scale.
  • Develop distributed systems and Monte Carlo engines for real-time pricing and risk in cloud and multi-core environments.
  • Collaborate with quants and traders to productionize models and integrate analytics into front-end tools like Excel.
Requirements
  • Strong technical foundation: Expert in modern C++ (17/20), solid Python skills, and experience with Excel integration.
  • Quant & systems expertise: Background in quantitative disciplines, with hands-on experience in distributed computing, performance optimization, and cloud-native deployment (Docker/Kubernetes).
  • Leadership & domain knowledge: Proven team leadership, strong grasp of derivatives and macro products (e.g., Rates, FX), and a collaborative, problem-solving mindset.

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