Front Office Risk Engineer - Hedge Fund

Goldman Lloyds; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Goldman Lloyds International in London seeks a Front Office Risk Engineer to develop high‑end risk and trading infrastructure, using Python and C++ in a fast-paced hedge fund setting.

You will build real-time risk monitoring, integrate with trading platforms, and own software architecture from design to production. This role offers exposure to PMs and Traders and the opportunity to optimize performance across distributed systems.

Qualifications

• 5+ years of professional software engineering experience.
• Strong hands-on development in Python and C++.
• Excellent understanding of algorithms, data structures, multithreading and distributed systems.
• Experience with trading workflows and market risk analytics.
• Knowledge of backend architecture and scalable software design.

Responsibilities

• Design and develop front-office risk systems supporting trading activity and real-time risk monitoring.
• Build high-performance applications and calculation frameworks using Python and C++.
• Engineer scalable systems for processing market data, positions, P&L and portfolio risk metrics.
• Develop APIs and distributed services linking trading platforms with analytics and risk infrastructure.
• Build tools supporting risk sensitivities, stress testing and portfolio risk aggregation.
• Optimise performance, concurrency, latency and reliability across production systems.
• Collaborate with PMs, Traders and Risk teams to translate requirements into technical solutions.
• Take ownership of software architecture, development and production delivery.

Skills

Python

C++

Multithreading

Distributed systems

APIs

Education

Computer Science

Computer Engineering

Mathematics

Physics

Job description

Front Office Risk Engineer – Python / C++ | Hedge Fund

Leading Global Hedge Fund | Central London

Employment Type: Full Time

Total Comp: Competitive Base + Cash Bonus (Advertised base salary range only)

A leading global hedge fund is seeking an experienced Front Office Risk Engineer to develop sophisticated technology supporting its trading, portfolio management and investment risk functions. The role focuses on Python, C++, high-performance computing and distributed systems, building critical infrastructure used directly by Portfolio Managers, Traders and Risk professionals.

Key Responsibilities

• Design and develop front-office risk systems supporting trading activity, portfolio exposures and real-time risk monitoring.
• Build high-performance applications and calculation frameworks using Python and C++.
• Engineer scalable systems for processing market data, positions, P&L and portfolio risk metrics.
• Develop APIs and distributed services connecting trading platforms with quantitative analytics and risk infrastructure.
• Build tools supporting risk sensitivities, stress testing, scenario analysis and portfolio-level risk aggregation.
• Optimise computational performance, concurrency, latency and reliability across production systems.
• Work directly with Portfolio Managers, Traders and Risk teams to translate complex business requirements into technical solutions.
• Take ownership of software architecture, development and production delivery.

Requirements

• 5+ years of professional software engineering experience, ideally within front-office financial markets technology.
• Strong hands-on development experience in Python and C++.
• Excellent understanding of algorithms, data structures, multithreading and distributed systems.
• Experience building high-performance, data-intensive or computationally complex applications.
• Understanding of trading workflows, financial instruments, portfolio risk or market risk analytics.
• Strong knowledge of backend architecture, APIs and scalable software design.
• Academic background in Computer Science, Computer Engineering, Mathematics, Physics or a related technical discipline.
• Ability to collaborate directly with trading, quantitative and investment teams.
• Previous experience within a hedge fund, proprietary trading firm, investment bank or electronic trading environment.
• Exposure to real-time risk systems, pricing infrastructure, market data or portfolio analytics.
• Experience with distributed computing, cloud infrastructure or large-scale data processing.
• Familiarity with numerical computing, quantitative libraries and performance optimisation.

The Opportunity

Join a sophisticated front-office engineering environment where technology directly supports investment decision-making, trading activity and portfolio risk management.

The position offers substantial technical ownership, complex engineering challenges and close interaction with investment professionals.

Location: London, UK

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