To lead SoftwareOne’s second-line Group Risk function and develop the enterprise-wide approach to risk management. This is a newly established leadership role with a broad global mandate.
Responsibilities
Own and continuously evolve SoftwareOne's enterprise risk management framework, risk appetite, tolerances and taxonomy
Provide independent oversight and constructive challenge across the Group, monitoring risk exposure against appetite
Monitor risk exposure and ensure timely escalation of material risks and breaches to executive and Board-level stakeholdersholders
Strengthen forward-looking risk management through quantitative risk assessment, scenario analysis, stress testing, key risk indicators and horizon scanning
Oversee the Group’s ICFR program end-to-end, including reporting on overall ICFR effectiveness to the Executive Board and Audit Committee
Develop and improve counterparty credit risk models, investigate derivatives pricing, source and analyse trade and market data, develop production implementations in Python, interpret regulatory requirements, write documentation and support validation and approval processes.
Responsibilities
Develop and improve counterparty credit risk models
Investigate derivatives pricing and exposure behaviour
Source, reconcile and analyse trade and market data
Develop production implementations in Python
Interpret relevant regulatory requirements
Requirements
Bachelor's or higher degree in mathematical finance, mathematics, statistics, physics, engineering or econometrics
Lead and oversee delivery of quantitative risk advisory engagements, including model validation and risk measurement for banking clients.
Responsibilities
Lead assignments and engagements with banking clients
Implement bespoke quantitative and qualitative frameworks for model validation
Provide expertise and specialist knowledge input
Contribute to business development and proposal creation
Communicate outcomes to internal and external stakeholders
Requirements
Master’s degree or equivalent professional qualification in quantitative risk (modelling) business, accounting, finance, economics, maths, risk or related discipline
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