

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.
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.






