Senior Quantitative Developer

Winston Fox

Greater London

Hybrid

GBP 120,000 - 190,000

Full time

3 days ago
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Job summary

Global Hedge Fund in London seeks an exceptional Quant Developer to join the Risk team and own high‑impact engineering across real‑time data pipelines and risk platforms. You will work on scalable systems, distributed architectures and modern cloud infrastructure, collaborating directly with Risk and Investment stakeholders.

Ideal candidates have 5+ years of experience, expert Python and SQL, and a proven track record delivering production risk tools at top-tier financial institutions.

Qualifications

  • 5+ years of professional experience in quantitative development or equivalent
  • Exceptional programming ability in Python and strong SQL
  • Deep understanding of software engineering, system design, and architecture
  • Experience with distributed systems and sophisticated production environments
  • Experience with Kafka or similar messaging/streaming tech
  • Strong infrastructure experience using Kubernetes, Docker, Helm, cloud and microservices
  • Experience applying AI into workflows
  • Excellent communication with senior non-technical stakeholders
  • Strong project ownership from inception to support
  • Records of delivering high-quality production risk systems at top-tier firms

Responsibilities

  • Design overall systems architecture
  • Build and evolve high-performance data pipelines and real-time apps
  • Engineer real-time, scalable processing systems
  • Work with distributed systems, messaging and event-driven architectures
  • Develop data platforms spanning relational DBs, pipelines and lakehouse tech
  • Improve performance, resilience and observability of critical systems
  • Collaborate with Risk/Investment users directly
  • Raise engineering standards across Risk function
  • Take meaningful technical ownership and leadership without people management
  • Maintain hands-on engineering focus and excellence

Skills

Python
SQL
Distributed systems
Kafka
Kubernetes
Docker
Helm

Tools

Kafka
Kubernetes
Docker
Helm

Job description

Global Hedge Fund | London | Exceptional Compensation (please read the spec before applying)

We are searching for an exceptional Quant Developer to join the Risk team at one of the world’s leading and most technologically sophisticated hedge funds. We can only consider candidates from Hedge Funds, Proprietary Trading, or Investment Banks where you have a great deal of project ownership and exposure to the business.

You will join a highly technical team sitting at the heart of the firm’s investment and risk architecture, building the platforms and tools used by Risk and Investment professionals to understand portfolios, monitor exposures and make better, faster decisions.

The firm manages many billions in AUM, and it runs systematic and fundamental strategies globally. It is considered to be one of the tier-one global hedge funds with an elite history and track record.

We are looking for someone who can genuinely raise the technical bar.

The Risk team is evolving a sophisticated portfolio research and monitoring platform towards increasingly real-time, distributed and scalable processing. You will work on engineering problems spanning real-time applications, large-scale data processing, distributed systems, data pipelines, cloud-native infrastructure and platform reliability.

This is a role for someone who wants and enjoys genuine ownership and is passionate about modern technology. You will work directly with and often be forward‑deployed into the core Risk and Treasury teams. You will be expected to build relationships with the business built on trust and your understanding of the problems they are trying to solve, and then design and engineer the systems and tools that solve them.

In this role, your work will directly contribute to the firm's ability to monitor deployed risk and make informed investment decisions.

What You’ll Be Doing
  • Working with the team on overall systems architecture design
  • Designing, building and evolving high-performance data pipelines and real-time applications
  • Engineering systems capable of real-time processing and horizontal scale-out
  • Working extensively with distributed systems, messaging and event‑driven architectures
  • Building robust data platforms spanning relational databases, data pipelines and Lakehouse technologies
  • Improving the performance, resilience, observability and reliability of critical systems
  • Working with modern cloud, container and microservice infrastructure
  • Partnering directly with Risk and Investment users rather than operating several layers removed from the business
  • Introducing strong engineering practices and helping raise engineering standards across the Risk function
  • Taking meaningful technical ownership rather than simply implementing tickets or maintaining somebody else's architecture
  • We want someone with technical leadership experience from the view of project ownership, pushing technical vision, strategy, and architecture, but not team leadership (although there is room for growth in this).
  • This is fully hands‑on, and we are interested in your engineering excellence, not managing budgets or setting staff kpi's
What We’re Looking For

We are deliberately setting the bar high.

We want to speak with top-tier Quant Developers who combine superb computer science fundamentals with the ability to design, build and operate complex production systems in fast-moving environments.

You are likely to have
  • 5+ years of professional experience
  • Exceptional programming ability in Python, alongside strong SQL.
  • Deep understanding of software engineering, system design, and architecture
  • Strong knowledge and experience working on sophisticated distributed systems
  • Experience with messaging/streaming technologies such as Kafka
  • Strong modern infrastructure experience using Kubernetes, Docker, Helm, cloud and microservices
  • Experience implementing AI into workflows
  • Exceptional communication skills with experience working directly with senior "non-technical" business stakeholders
  • Strong project/system ownership experience, from inception to support, without product/project management or business analyst support
  • Strong track record delivering solutions at tier one hedge funds, prop traders, or investment banking firms regarded for technology engineering excellence.
  • Experience designing and developing world‑class production Risk systems and tools
Why This Role?

The attraction is the combination of engineering depth, business proximity and genuine impact.

You won't be building technology several steps removed from the business. You will work alongside sophisticated Risk and Investment professionals, solving problems where better engineering can materially improve how the firm understands multi-billion dollar portfolios and manages risk.

The culture actively encourages people to challenge consensus, introduce new ideas and execute on them — entrepreneurialism and innovation are explicitly part of how the firm operates.

For an elite engineer, this offers something increasingly difficult to find:

Hard engineering problems. Exceptional colleagues. Huge datasets. Real-time systems. Direct exposure to the investment business. And the freedom to make a genuine technical impact.

Location:

London

Work:

4x days on-premises + 1x day wfh

Time:

Hire in 2026- buyout, sign-on, and guarantee's available

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