Robert Half
Quantitative Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Quantitative Developer position on a 6-month contract with a pay rate based on experience. Key skills include Python programming, quantitative research, and familiarity with financial markets. Experience in hedge funds or systematic trading is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 29, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Pipeline #Java #Data Quality #Python #Airflow #AWS (Amazon Web Services) #Data Engineering #Kafka (Apache Kafka) #C++ #GCP (Google Cloud Platform) #Programming #Cloud #Spark (Apache Spark) #Automation #Deployment #Azure
Role description
Robert Half Technology are assisting a rapidly growing hedge fund to recruit a Quantitative Developer on a contract basis
A leading hedge fund with a strong track record in systematic and quantitative trading. The firm combines advanced research, technology, and data to deliver market-leading performance across multiple asset classes. They are seeking a Quantitative Developer on a 6-month contract to support the ongoing development of research tools, trading models, and infrastructure enhancements within their core systematic strategies team.
Role
• The Quantitative Developer will collaborate with researchers to implement, test, and deploy quantitative trading strategies and risk models.
• Build and enhance data pipelines and backtesting frameworks for large-scale market data.
• Integrate new data sources and ensure data quality and reliability across research environments.
• Refactor and optimise existing code for performance and maintainability.
• Contribute to tooling and automation that accelerate research and deployment cycles.
• Support production systems and ensure smooth handover of deliverables.
Profile
• Proven experience as a Quantitative Developer within a hedge fund, prop trading, or systematic trading environment.
• Strong programming expertise in Python (C++ or Java also advantageous).
• Excellent understanding of data structures, algorithms, and numerical computing.
• Experience with time-series data, backtesting, and quantitative research workflows.
• Familiarity with financial markets and trading systems.
• Strong communication skills with the ability to collaborate across research and technology teams.
• Exposure to low-latency or real-time systems.
• Experience with cloud infrastructure (AWS, GCP, or Azure).
• Familiarity with data engineering tools such as Kafka, Airflow, Spark, or Dask.
• Knowledge of equities, futures, or FX markets.
Company
• Rapidly growing hedge fund
• offices globally including London
Salary & Benefits
The salary range/rates of pay is dependent upon your experience, qualifications or training.
Robert Half Technology are assisting a rapidly growing hedge fund to recruit a Quantitative Developer on a contract basis
A leading hedge fund with a strong track record in systematic and quantitative trading. The firm combines advanced research, technology, and data to deliver market-leading performance across multiple asset classes. They are seeking a Quantitative Developer on a 6-month contract to support the ongoing development of research tools, trading models, and infrastructure enhancements within their core systematic strategies team.
Role
• The Quantitative Developer will collaborate with researchers to implement, test, and deploy quantitative trading strategies and risk models.
• Build and enhance data pipelines and backtesting frameworks for large-scale market data.
• Integrate new data sources and ensure data quality and reliability across research environments.
• Refactor and optimise existing code for performance and maintainability.
• Contribute to tooling and automation that accelerate research and deployment cycles.
• Support production systems and ensure smooth handover of deliverables.
Profile
• Proven experience as a Quantitative Developer within a hedge fund, prop trading, or systematic trading environment.
• Strong programming expertise in Python (C++ or Java also advantageous).
• Excellent understanding of data structures, algorithms, and numerical computing.
• Experience with time-series data, backtesting, and quantitative research workflows.
• Familiarity with financial markets and trading systems.
• Strong communication skills with the ability to collaborate across research and technology teams.
• Exposure to low-latency or real-time systems.
• Experience with cloud infrastructure (AWS, GCP, or Azure).
• Familiarity with data engineering tools such as Kafka, Airflow, Spark, or Dask.
• Knowledge of equities, futures, or FX markets.
Company
• Rapidly growing hedge fund
• offices globally including London
Salary & Benefits
The salary range/rates of pay is dependent upon your experience, qualifications or training.
