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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.
Job Responsibility:
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
Requirements:
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
Strong communication and a collaborative mindset — comfortable working at the intersection of technology and finance
Nice to have:
Familiarity with Python, Linux, distributed systems, or numerical libraries is a plus
What we offer:
Competitive compensation with significant upside (base + performance bonus)
Hybrid working and a culture that values intellectual curiosity, autonomy, and impact
Work in a technologist-led environment where engineering excellence is prized
Direct exposure to front-office stakeholders and the investment process
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