Job Openings

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Quant Analyst

Location: London or New York
Type: Full‑time
Compensation: Competitive package with performance-based bonus

Our client, a multi-strategy investment firm, is hiring a Quant Analyst to transform data into actionable trading strategies. Collaborate with traders, PMs, and engineers to build models, spot opportunities, and deliver real impact from day one.

  • Minimum of 2 years of experience in a quantitative-focused role within Fixed Income, Macro, or Credit.
  • Strong proficiency in Python, statistical and machine learning modeling, and backtesting frameworks.
  • Familiarity with market data sources
  • Detail-oriented and highly organised under pressure.
  • Effective team player with strong communication skills.
  • Drive trading performance by turning complex data into actionable strategies.
  • Influence key investment decisions through robust quantitative analysis and modeling.
  • Work alongside traders, portfolio managers, and engineers to deliver measurable, real-world impact.
  • Play a critical role in shaping the firm’s approach to data-driven trading in a dynamic, fast-moving market.
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Quant Analyst

Location: London, UK (Hybrid)
Type: Full‑time
Compensation: Competitive salary + performance bonus

Our commodities trading client is seeking a Quant Analyst to join their team. You’ll work on complex data-driven problems, supporting trading and risk decisions. The role is highly technical and hands on, requiring sharp analytical skills and a curiosity for markets and algorithms.

  • Extensive experience in C++ and some exposure to Python.
  • Proven ability to work with complex data and quantitative methods, ideally with experience in mathematics, statistics, or a similar discipline
  • Can turn data and insights into actionable strategies
  • Are comfortable working in fast-paced, high-stakes environments
  • Communicate clearly and collaborate effectively
  • Exposure to real-world trading strategies and market dynamics
  • Work with a highly capable, technically focused team
  • Make an immediate impact in a data-driven trading environment

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Quantitative Risk Analyst

Location: London, UK (Hybrid)
Type: Full‑time
Compensation: Competitive package with performance-based bonus and full benefits

Our trading firm client, is looking for a Quantitative Risk Analyst to support their trading technology team. This role is focused on tackling complex, data-driven challenges and helping front-office teams make informed decisions. It combines analytical thinking with practical problem-solving in a fast-paced, global environment.

  • Work on tools, models, and workflows that help trading teams better understand risk and PnL.
  • Collaborate closely with colleagues across locations to develop solutions that make an immediate impact.
  • Take on open-ended challenges that require both technical and strategic thinking.
  • Help shape how data and insights are turned into actionable decisions.
  • Some exposure to Python and extensive experience in C++
  • Strong analytical and quantitative thinking with experience applying methods to real-world problems.
  • Comfortable working with data, modeling frameworks, or technical solutions in a collaborative setting.
  • Able to communicate clearly and work effectively with both technical and business teams.
  • Adaptable, curious, and solution-oriented, thriving in a fast-moving environment.
  • Educational or professional background in a quantitative or technical discipline is a plus.
  • Gain exposure to market workflows, risk considerations, and PnL impact across a global trading operation.
  • Work with a technically capable, high-performing team.
  • Contribute to solutions that influence key decisions and strategy.
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Data Engineer

Location: London (Hybrid)
Type: Full‑time
Compensation: Competitive package with performance-based bonus

Our client, is seeking a Data Engineer to join their team. Drive scalable cloud systems, turn complex data into actionable insights, and power high-impact trading and AI decisions.

  • 5+ years of experience in data engineering with MPP databases or Apache Spark
  • Strong skills in Python and SQL, with solid data modeling experience
  • Extensive knowledge of AWS/cloud services (ECS, EKS, Lambda, Kinesis, DynamoDB, EMR, Athena)
  • Hands-on experience with orchestration and workflow tools (Docker, Kubernetes, Airflow, Prefect, Dagster)
  • Familiar with CI/CD pipelines, infrastructure as code, and DBT
  • Able to explain complex data concepts clearly to non-technical stakeholders
  • Deliver lightning fast data pipelines handling billions of rows daily to support trading and AI applications.
  • Build and maintain cloud based, scalable systems that transform complex data into actionable insights.
  • Collaborate with business and engineering teams to create reliable, high performance data infrastructure that drives decisions.
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Full Stack (.NET/React) Developer

Location: Geneva (Hybrid)
Type: Full‑time
Compensation: Competitive package with performance-based bonus

Our client, a commodities trading firm, is looking for a Senior Full Stack Developer to join their team. Build scalable analytics systems, transform complex data into actionable insights, and drive high-impact energy trading decisions.

  • Hands-on experience with GraphQL, gRPC, Reactive Extensions, or Kafka
  • 4–7 years of C#/.NET experience, including ASP.NET Core and Web API development
  • 3+ years developing React applications with solid UI and CSS skills
  • Skilled in SQL databases like Oracle, SQL Server, and PostgreSQL
  • Familiar with Agile Scrum and CI/CD processes
  • Builds seamless web applications that connect frontend and backend systems effortlessly.
  • Drives high-performance, scalable solutions using cutting-edge tech like .NET, React, and real-time messaging.
  • Accelerates delivery with Agile and CI/CD, turning ideas into reliable, fast-releasing products.
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Senior Engineer

Location: New York (Hybrid)
Type: Full‑time
Compensation: Competitive package with performance-based bonus

Our client, a multi-strategy investment fund, is seeking a Senior Engineer to join their Accounting Technology team. This is a high-impact role where you’ll take full ownership of the systems powering trade accounting and post-trade operations.

  • 7+ years experience in enterprise software development, with strong proficiency in C# and .NET Core.
  • Hands-on experience with enterprise messaging platforms (e.g., Kafka, Solace).
  • Comfortable working with databases such as MS SQL, Postgres, and Snowflake. Familiarity with cloud environments (AWS or Azure) and distributed caching (Redis).
  • Strong DevOps and collaboration skills, including experience with JIRA, Git, Jenkins, and automated deployment pipelines.
  • Take ownership of systems that ensure accurate and efficient financial operations
  • Build and optimise high-performance platforms that handle large volumes of trading data
  • Collaborate with global teams to deliver reliable, scalable solutions and solve complex challenges
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Cross Asset PnL Engineer

Location: Chicago, London, New York
Type: Full‑time
Compensation: Competitive package with performance-based bonus

Our client, a multi-strategy investment fund, is seeking a Cross Asset PnL Engineer to join their team. You’ll design and maintain scalable cloud systems, build applications that transform complex trading data into actionable insights, and support high-impact PnL and risk decisions across global markets.

  • 7+ years of experience in enterprise software development
  • Skilled in C# and .NET Core
  • Experienced with React and TypeScript
  • Strong in OOP and multithreaded programming
  • Knowledge of event-driven and service-oriented systems (e.g., Kafka)
  • Familiar with MS SQL, Postgres, Snowflake, and Redis
  • Experience with AWS or Azure
  • Comfortable with DevOps tools: Git, Jenkins, Octopus Deploy, JIRA
  • Drive the development of critical enterprise applications used globally
  • Help modernise and scale technology platforms
  • Collaborate with cross-functional teams to deliver high-impact solutions
  • Contribute to innovations that improve efficiency, reliability, and user experience
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AI Engineering Manager

Location: London or New York
Type: Full‑time
Compensation: Competitive package with performance-based bonus

Our client, a multi-strategy investment firm, is looking for a AI Engineering Manager to join their team. This role is about building and scaling AI systems that empower traders, analysts, and portfolio managers. You’ll transform Macro and Fixed Income data into practical tools, streamline workflows, and enable faster, smarter decisions across the business.

  • Leads AI teams that deliver high-impact solutions for complex market challenges.
  • Transforms Macro and Fixed Income data into actionable AI tools for traders and analysts.
  • Builds, deploys, and scales LLM and generative AI systems across enterprise environments.
  • Fluent in Python, SQL, LangChain, LlamaIndex, vector databases, RAG pipelines, Docker/Kubernetes, and AWS.
  • Brings deep experience in trading, rates, FX, credit, or Macro markets and a strong technical background.
  • Shape AI systems that directly influence research, trading, and decision-making.
  • Introduce cutting-edge AI techniques that the whole business can adopt.
  • Work alongside top market professionals to deliver tools that make an immediate impact.
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Senior .NET Developer

Location: London or Geneva (Hybrid)
Type: Full‑time
Compensation: Competitive package with performance-based bonus

Our client, a commodities trading firm, is looking for a Senior .NET Developer to join their team. This role focuses on building and improving systems that support key business functions, turning complex data and workflows into practical solutions. You will work closely with colleagues across locations to create tools that help the business run smoothly and make informed decisions.

  • Experienced in creating large-scale software solutions in modern development environments.
  • Comfortable working with data platforms and relational databases to support business operations.
  • Can translate complex business challenges into actionable solutions.
  • Collaborates effectively across teams and communicates clearly.
  • Previous experience in trading, commodities, or other data-intensive industries is a plus.
  • Contribute to systems that play a central role in global business operations.
  • Work with a skilled, high-performing team in a dynamic environment.
  • Have a tangible impact by helping the business operate efficiently and make informed decisions.
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Senior C++ Engineer

Location: London, on-site
Type: Full-time
Compensation & Benefits: Extremely competitive, market-leading base with significant upside on bonus

Our client, a Tier 1 high-frequency trading firm, is seeking a Senior C++ Engineer to join their core engineering team. This role focuses on building and optimising ultra low-latency systems that sit at the heart of trading operations. You’ll work on highly performant infrastructure where speed, reliability, and precision are critical to success in global markets.

  • Design and develop high-performance C++ systems for low-latency trading environments.
  • Optimise and maintain critical components of trading infrastructure to ensure maximum efficiency and reliability.
  • Work on large scale, distributed systems that handle real time data and execution.
  • Collaborate with trading and technology teams to deliver robust, scalable solutions.
  • Contribute to the continuous improvement of system architecture, performance, and networking capabilities.
  • Strong expertise in low-level or systems programming, particularly in C++.
  • Experience working with high-frequency trading or other latency sensitive systems.
  • Solid understanding of large scale distributed systems.
  • Knowledge of networking protocols such as TCP/UDP.
  • Able to solve complex technical problems in a fast-paced, performance-driven environment.
  • Strong communication skills and ability to collaborate with both technical and non-technical stakeholders.
  • Work on cutting-edge systems where performance directly impacts trading success.
  • Be part of a highly skilled engineering team at a leading global trading firm.
  • Tackle challenging technical problems with real-world impact in financial markets.
  • Gain exposure to advanced trading infrastructure and low-latency system design.