Head of Model Risk & Data Quality

📋 Description

• Develop a model risk management framework meeting regulatory requirements.
• Guide teams on model development, validation, and implementation.
• Review model validations for accuracy, performance, and predictive power.
• Monitor model performance over time and recommend updates.
• Provide reporting to Risk Committees and Executives.
• Ensure documentation for all model development and validation activities.

🎯 Requirements

• Strong analytical skills in statistics, math or quantitative finance.
• Experience with risk management and regulatory standards.
• Ability to communicate complex risk concepts to stakeholders.
• Familiarity with financial modeling and model risk concepts.
• Knowledge of modern data platforms and data teams.
• Proficiency in Python and SQL; ability to read models.
• Experience building dashboards and deriving insights from data.

🎁 Benefits

• Mentorship and career development opportunities.
• Access to cutting-edge tools and technology.
• Clear, accelerated career progression paths.
• Dynamic, supportive culture focused on growth.
• Generous, location-tailored benefits package.
• Central office with excellent transport links.