Analytics Manager, Full Stack

Master’s degree (or foreign equivalent) in Data Science, Computer Science, Engineering, Economics, or a related field. 3+ years of experience (or equivalent senior-level experience). SQL, Python, or other scripting languages. Data mining, data visualisation, and statistical modeling. Applying machine learning techniques to credit risk management. Leveraging advanced analytics to develop and optimise credit strategies. Monitoring and interpreting model performance metrics across portfolios. Proven experience leading cross-functional initiatives. Deep understanding of consumer lending regulations, fair lending principles, and regional market dynamics. Ability to translate complex regulatory and economic insights into actionable credit and product strategies. Demonstrated success mentoring high-performing analytical teams. Exceptional communication skills.

Leverage advanced data analytics to optimize credit strategies across products and geographies. Partner with Engineering to design and build scalable risk models and credit risk capabilities. Monitor portfolio performance and macroeconomic trends; adjust underwriting and marketing strategies. Collaborate with Product, Legal, and Compliance to interpret regulatory requirements and translate them into credit policy. Engage with external stakeholders to align credit risk practices and ensure compliance. Oversee the development and execution of credit underwriting frameworks. Drive cross-functional discussions for new product launches and market entries. Provide mentorship and guidance to a team of credit analysts. Manage team resources, priorities, and workload distribution.