RiskPod

Pricing Quant (Market Risk & Treasury Transformation)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Pricing Quant (Market Risk & Treasury Transformation) on a 6-12 month remote contract with potential for permanent employment. Key skills include derivatives modelling, Murex experience, and advanced Python. Financial services industry experience is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
545
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🗓️ - Date
June 4, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Libraries #Documentation #Python #Statistics #"ETL (Extract #Transform #Load)" #Matlab #Programming #R #Computer Science #Model Validation #C++ #Mathematics
Role description
Job Title: Pricing Quant (Market Risk & Treasury Transformation) Location: Remote with travel to Riyadh, Saudi Arabia Duration: Initial 6–12 month contract (Fixed Term Salaried Contract) Potential for permanent employment for exceptional candidates Immediate interviews available Overview We are currently supporting a major financial services institution in Riyadh on a high-profile Market Risk and Treasury transformation programme. We are seeking an experienced Pricing Quant with strong derivatives modelling expertise to support the development, validation, and implementation of pricing models across a complex trading and treasury environment. This role will play a key part in enhancing the bank's quantitative capabilities, supporting model development and validation activities, and ensuring robust pricing methodologies are implemented within the Murex platform. Candidates must possess strong quantitative modelling skills, hands-on Murex experience, and advanced Python capabilities. Key Responsibilities • Develop, enhance, and validate pricing models for a broad range of derivative products. • Build and maintain quantitative models for both linear and non-linear products. • Support valuation and risk management frameworks across Treasury and Market Risk functions. • Design and implement pricing methodologies for: Exotic Options, Swaption, Interest Rate Derivatives, FX Derivatives, Structured Products Perform model validation, calibration, and performance testing. • Work closely with Treasury, Market Risk, Front Office, and Technology teams. • Support Murex implementation, configuration, model integration, and validation activities. • Review pricing assumptions, market data inputs, and model governance requirements. • Assist with regulatory and internal model risk management requirements. • Contribute to quantitative analytics, stress testing, and scenario analysis initiatives. • Produce technical documentation and model validation reports. Essential Requirements • Strong experience as a Pricing Quant, Quantitative Analyst, Model Validation Specialist, or Market Risk Quant. • Demonstrable expertise in derivatives pricing models. • Deep understanding of: Exotic Options, Swaptions, Linear Products, Non-Linear Products, Interest Rate Modelling, Volatility Modelling • Hands-on experience with Murex, including: Pricing Models, Model Validation, Market Risk Configuration, Treasury Applications • Advanced Python programming skills. • Strong quantitative background with experience developing pricing libraries and analytics tools. • Experience working within Treasury, Market Risk, Quantitative Research, or Front Office environments. • Strong understanding of model risk governance and validation frameworks. • Excellent stakeholder management and communication skills. Preferred Experience • Experience within Tier 1 banks or major financial institutions. • Exposure to Treasury transformation programmes. • Experience supporting Murex implementations or upgrades. • Knowledge of FRTB, IRRBB, Market Risk, and regulatory model governance frameworks. • Experience with C++, R, MATLAB, or similar quantitative programming languages. • Master's degree or PhD in: Quantitative Finance, Mathematics, Financial Engineering, Physics, Statistics, Computer Science