Lorien

Front Office Quantitative Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a 12-month contract for a Front Office Quantitative Developer in Investment Banking, requiring expertise in SQL, Linux, Python, and C++. Strong quantitative skills and experience in data analysis and scalable systems are essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 16, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Linux #C++ #SQL (Structured Query Language) #Data Analysis #Data Storage #Python #Scala #Computer Science #Storage #Mathematics
Role description
12 month contract - Inside IR35 - Investment Banking The Global Markets Quantitative Research division is in charge of the modelling, pricing & risk management developments for the entire offering of products within the Global Markets activity. The team operates globally with representatives in London, Paris, Asia, and New York and plays a critical role in providing innovative solutions. Inside GMQR, Histo team works on a wide range of applications, from booking systems, real time price computation to market data storage and high performance transfer, and a wide range of tasks from algorithm design and refinement, user experience to hardware selection and network performance analysis. One of our missions is also to provide quant support services for the Delta One trading desks, that's why we are currently looking for an IT Quant consultant. The ideal candidate will possess strong technical skills, problem-solving abilities, and effective teamwork. Key responsibilities: - Strengthen and enhance reliability of solutions dedicated to ETF market making activity - Build scalable systems for large-scale data analysis and experimentation - Evaluate and implement third-party tools and data sources - Ensure that Risks and P&L are properly assessed and computed - Contribute to research discussions and improve methodologies Key Skills: -Mathematics/computer science background -SQL, Linux, Python, C++ -Quantitative background