C++ Risk Technologist

Hunter Bond; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Exposure to front-office stakeholders

Job summary

Hunter Bond partners with a leading global hedge fund to hire an exceptional C++ developer for the Risk Technology team, working alongside quants, traders, and risk managers.

You’ll own high-impact projects in a fast-moving, low-latency environment, building systems that monitor, simulate, and manage risk across billions in global trading positions.

The role offers hybrid working, exposure to front-office stakeholders, and a clear path to impactful, production-grade solutions.

Qualifications

• Expert-level C++ with modern standards (C++17/20).
• Experience in risk systems or real-time analytics in trading.
• Strong communication and collaboration across tech and finance.

Responsibilities

• Design and implement C++ libraries and services for real-time risk and valuation systems.
• Optimize performance and scalability for large-scale data analytics.
• Collaborate with quants, traders, and risk analysts to translate models into production systems.
• Contribute to architecture decisions impacting trading, portfolio management, and risk monitoring.

Skills

C++ (modern C++17/20)

Data structures

Algorithms

Concurrency

Python

Linux

Distributed systems

Tools

Linux

Job description

We’re partnering with a leading global hedge fund at the forefront of quantitative trading and systematic investment strategies. They’re looking to hire an exceptional C++ developer to join their Risk Technology team, working directly alongside quants, traders, and risk managers.

This is an opportunity to take ownership of high-impact projects in a fast-moving, low-latency environment — building the systems that monitor, simulate, and manage risk across billions in global trading positions.

The Role

• You’ll join a small, elite engineering team responsible for:
• Designing and implementing C++ libraries and services underpinning real-time risk and valuation systems.
• Optimising performance and scalability for large-scale data analytics.
• Collaborating closely with quant researchers and risk analysts to translate models into robust, production-grade systems.
• Contributing to architecture decisions that impact trading, portfolio management, and firm-wide exposure monitoring.

Ideal Background

• Expert-level C++ (modern C++17/20 preferred) with strong fundamentals in data structures, algorithms, and concurrency.
• Experience in risk systems, pricing engines, or real-time analytics within a trading, hedge fund, or investment banking environment.
• Familiarity with Python, Linux, distributed systems, or numerical libraries is a plus.
• Strong communication and a collaborative mindset — comfortable working at the intersection of technology and finance.

Why Apply?

• Work in a technologist-led environment where engineering excellence is prized.
• Direct exposure to front-office stakeholders and the investment process.
• Competitive compensation with significant upside (base + performance bonus).
• Hybrid working and a culture that values intellectual curiosity, autonomy, and impact.