Karin Gambe

Karin Gambe is a delivery-focused and business-minded risk management professional with more than 15 years of experience spanning climate and ESG risk, prudential oversight, and quantitative risk modelling. Her career reflects a balance of technical expertise and strategic leadership, with a proven ability to design, implement, and embed frameworks that enable financial institutions to manage risk while advancing strategic and sustainability objectives.

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At EY in London, Karin supported major international banks in embedding climate and ESG risk into credit processes and models, aligning lending strategies with sustainability goals, and supporting in CSRD readiness. She has led large-scale transformations, from establishing climate and ESG risk management frameworks at global and UK banks to building a 25-person prudential risk and quantitative analysis team at Handelsbanken UK. Karin’s leadership is underpinned by empowering teams, fostering collaboration, and aligning strategic initiatives with regulatory and market developments.

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Previous professional experience

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— Senior Manager, Credit & Climate Risk, Financial Services Risk Management, EY (UK)

— Head of Prudential Risk & Quantitative Analysis, Handelsbanken (UK)

— Vice President, Enterprise Capital Adequacy, Bank of New York (UK)

— Manager, Quantitative Advisory Services, EY (UK & Denmark)

— Senior Analyst, Stress Testing & Simulations, Nordea Bank (Sweden)

— Analyst, Nordea Investment Management (Norway)

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Education and certificates

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— MSc Mathematics, Stockholm University

— Sustainability and Climate Risk (SCR) Certificate, GARP

— Business Sustainability Management, Cambridge Institute for Sustainability Leadership

 

Beyond work

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Karin loves spending time outdoors, ski-touring, cycling, or running. She spends a fair amount of her free time supporting various charity organisations with cycling events such as London-to-Paris rides. For recovery, she likes nothing better than baking cakes and reading old classics, including any vintage spy or murder mystery.