Senior Quants Analytics Manager | S4 | Risk Division | London |

Overview

Senior Quants Analytics Manager leads corporate credit risk model development and governance within Treasury Risk & Analytics in London. You drive IRB, IFRS9, stress testing, climate risk and capital modelling initiatives, collaborating with stakeholders, validators and regulators. You shape risk management strategy through advanced analytics, robust documentation, and compliant governance. This role offers leadership across a high-impact modelling program and opportunities to influence decisions at the bank and regulator level.

Pay / Benefits

• 30 days holiday plus bank holidays
• car allowance
• private medical insurance
• life and income protection insurance
• share plans
• wellbeing support and flexible healthcare

Responsibilities

• Lead complex model development initiatives across IRB, IFRS9, stress testing, climate risk and capital modelling
• Develop, enhance and monitor models through their lifecycle with performance assessment and improvements
• Ensure model documentation, reproducibility, fit-for-purpose design and regulatory compliance
• Present model developments and limitations to governance forums and approval committees
• Manage and develop a team of quantitative managers and analysts
• Foster collaboration with model owners, validators, implementation teams and senior stakeholders
• Lead discussions with validators, auditors and regulators and support model governance activities
• Identify and resolve modelling, data quality, and implementation challenges with innovative solutions

Key requirements

• Extensive experience in corporate or wholesale credit risk model development, validation or model risk management (IRB, IFRS9, stress testing, climate risk, capital models)
• Strong quantitative and analytical skills with statistics, econometrics and machine learning experience
• Advanced programming skills in SAS, Python, SQL or similar tools
• Ability to analyze and solve complex modelling and data quality issues
• Solid understanding of Basel, CRR, PRA, ECB and IFRS9 regulatory requirements
• Experience interpreting technical documentation and communicating complex concepts
• Proven experience leading and developing high-performing technical teams
• Excellent interpersonal and influencing skills with senior stakeholders; regulators and auditors experience
• Experience with AI-enabled tools for productivity and coding is advantageous
• Education: degree in quantitative discipline; postgraduate/PhD advantageous

• strong leadership and coaching
• stakeholder engagement
• clear communication of complex concepts
• SAS
• Python
• SQL

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