
Head Of Data Science & Credit Risk
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Data Science & Credit Risk based in Switzerland.
This is a high-impact leadership role at the intersection of machine learning, credit risk, and financial inclusion, where you will define and scale the core decisioning systems that power lending across multiple Southeast Asian markets. You will own the end-to-end credit intelligence strategy, from model development and deployment to portfolio performance and business outcomes. In this role, you will lead a multidisciplinary team of data scientists and risk analysts, building advanced ML-driven underwriting systems that balance growth, profitability, and risk discipline. You will operate as a key strategic partner to senior leadership, shaping credit policy, risk appetite, and expansion strategy. The environment is fast-paced, data-driven, and mission-oriented, with strong emphasis on experimentation, scalability, and real-world impact. This is a unique opportunity to build credit risk and machine learning capabilities from the ground up in a rapidly scaling fintech.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Data Science & Credit Risk based in Switzerland.
This is a high-impact leadership role at the intersection of machine learning, credit risk, and financial inclusion, where you will define and scale the core decisioning systems that power lending across multiple Southeast Asian markets. You will own the end-to-end credit intelligence strategy, from model development and deployment to portfolio performance and business outcomes. In this role, you will lead a multidisciplinary team of data scientists and risk analysts, building advanced ML-driven underwriting systems that balance growth, profitability, and risk discipline. You will operate as a key strategic partner to senior leadership, shaping credit policy, risk appetite, and expansion strategy. The environment is fast-paced, data-driven, and mission-oriented, with strong emphasis on experimentation, scalability, and real-world impact. This is a unique opportunity to build credit risk and machine learning capabilities from the ground up in a rapidly scaling fintech.