Front Office Quantitative Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Front Office Quantitative Analyst on a 12-month contract, paying "pay rate". Located in "work location", it requires strong skills in SQL, Linux, Python, and C++, with a quantitative background essential for investment banking.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 23, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Inside IR35
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#C++ #SQL (Structured Query Language) #Data Analysis #Computer Science #Linux #Mathematics #Data Storage #Storage #Python #Scala
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