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What’s the role?

Bloomberg’s Chief Risk Office (CRO) plays a critical role in supporting our businesses and operations around the world. As part of this mission, we are seeking a Head of Model Risk Management Program to design, lead, and embed a firmwide approach to model governance and risk oversight.

We are seeking a highly experienced senior leader to build and lead our Model and Methodology Risk Management (MRM). This individual will be responsible for designing, implementing, and executing a comprehensive program across all elements of the end-to-end lifecycle of model governance, validation, monitoring, and risk oversight across the firm.

The ideal candidate will bring a proven track record of leading a model risk management program, building model risk frameworks, deep technical knowledge of quantitative modeling and AI/ML models, and the strategic leadership skills required to align the program with internal and external stakeholder expectations, industry best practices, and the firm’s business objectives.

We’ll trust you to:

• Design and implement the enterprise-wide Model and Methodology Risk Management framework, including governance, policies, and standards.
• Develop and maintain standards for model development, documentation, validation, and lifecycle monitoring
• Build and maintain the enterprise model inventory and classification process to ensure consistent visibility and oversight of all critical models
• Develop independent validation standards for quantitative, AI/ML, and vendor models, ensuring robustness and reliability
• Ensure robust controls for emerging technologies: AI/ML and generative models, anticipating emerging risks
• Set documentation and transparency standards for model development, testing, and monitoring
• Deliver clear and actionable reporting on model risk to senior management and any governance committees.
• Define model risk appetite and metrics, aligning with enterprise risk frameworks.
• Partner closely with engineering, product, and business teams to embed good model risk practices into the model development lifecycle
• Provide senior management with insights and reporting on model risk exposures, performance, and remediation progress
• Build, lead, and mentor a high-performing Model Risk Management team, fostering technical excellence and thought leadership.
• Drive continuous improvement by adopting industry best practices, leveraging new technologies, and monitoring emerging risks in modeling and AI

You’ll need to have:

• 12+ years of experience in quantitative risk management, model validation, or model governance, with at least 5 years in a senior leadership role
• Advanced degree in quantitative field such as Finance, Economics, Mathematics, Statistics, Financial Engineering, Data Science, or related discipline
• Expertise in a broad range of models (quantitative finance, pricing/valuation, forecasting, and AI/ML)
• Strong understanding of financial markets, trading lifecycle, and data-driven risk practices
• Demonstrated ability to lead large-scale programs and influence senior stakeholders
• Excellent communication skills, with ability to distill complex model risk concepts for executive audiences
• Proven leadership experience building and developing high-performing risk or quantitative teams
• Strong analytical skills, intellectual curiosity, and ability to operate in a fast-paced environment

We’d love to see:

• Experience engaging with regulators on model risk topics
• Passion for advancing risk governance while enabling innovation in finance and technology
• Some prior experience of regulatory model risk management frameworks (e.g., SR 11-7, OCC, ECB, PRA)
• Experience with Matlab/R, SQL, Perl/Python and other scripting languages