Randstad Digital

Senior Quantitative Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Quantitative Analyst in London (Hybrid) for a 9-month contract at a pay rate of "unknown." Requires 5+ years in banking/financial services, expertise in QRM, Python/R programming, and familiarity with EBA/ECB IRRBB & CSRBB regulations.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 8, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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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
#R #Monitoring #Python #Programming #Documentation #Model Validation #Mathematics
Role description
Quantitative Analyst / Model Developer – IRRBB & CSRBB Strategic Enhancement Initiative 📍 Location: London, Canary Wharf (Hybrid – 3 days in office) 🕒 Duration: 9 months (Full-time Contract) 🏢 Department: Enterprise Risk Management – Centralised Modelling, Analytics & Operations (CMAO) About the Role Seeking a skilled Quantitative Analyst / Model Developer to enhance IRRBB and CSRBB capabilities. Focus on developing, maintaining, and integrating advanced risk measurement models using QRM, aligning them with risk frameworks and governance. Key Responsibilities IRRBB / CSRBB Analytics & Implementation • Develop and maintain IRRBB and CSRBB measurements in QRM, covering Economic Value of Equity (EVE) and Net Interest Income (NII). • Ensure consistent metric generation across all products and portfolios for monitoring against management thresholds and limits. • Integrate IRRBB/CSRBB outputs into key risk frameworks, including stress testing, risk appetite, limit structures, and ICAAP capital discussions. • Quantitatively review results (sensitivities, drivers, stability) and validate alignment with the firm’s balance sheet and market expectations. Governance & Oversight Deliverables • Document metrics production (QRM) and usage for Risk/Treasury. • Prepare materials for model validation, stress tests, audits, and senior management. • Resolve oversight challenges in methodology, scenario design, assumptions, and decision linkage. • Ensure complete CSRBB and IRRBB coverage and capture all risk drivers. Qualifications & Experience • Education: Master's or PhD in a quantitative field (Economics, Finance, Mathematics). • Experience: 5+ years in banking/financial services with exposure to IRRBB, CSRBB, ALM, Treasury, or Balance Sheet Risk. • Technical: Hands-on QRM experience (configuring models, running sensitivities/scenarios, interpreting EVE/NII). • Programming: Proficient in Python, R, or similar. • Risk Framework: Strong understanding of risk measurement's link to management actions (limits, stress testing, ICAAP). • Regulatory: Familiarity with EBA/ECB IRRBB & CSRBB requirements. • Communication: Exceptional written/verbal skills for documentation (validation, regulatory, senior committees). Why Join This is an exciting opportunity to contribute to a high-impact strategic initiative within a leading financial institution. You’ll work in a collaborative, expert environment, engaging directly with senior stakeholders across Risk, Treasury, and Enterprise Management functions.