You will contribute to advancing our data and analytics framework, leveraging statistical methods and credit risk models to generate insights and drive strategy. Additionally, you will enhance credit monitoring and governance by building dashboards, improving reporting processes, and refining risk rating practices.

This role requires strong technical proficiency, a solid foundation in credit risk analytics, and the ability to turn complex data into actionable business strategies.

Job Responsibilities:

• Develop best in class data-driven credit policies and business strategies: Leverage external (e.g. banking, tax, financial, credit bureau and other data) and internal performance data to develop credit policies (e.g. underwriting criteria, dynamic credit limit programs, etc.). Minimize credit loss by developing and implementing appropriate processes and procedures to identify and mitigate high risk customers.

• Deliver advancements in data and analytics: Contribute to the development of a data and analytics framework to improve processing, underwriting, tracking, risk management, and reporting procedures. Design and execute data driven analyses and tracking procedures to enhance insights on credit risk for individual, and the portfolio of companies.

• Improve credit monitoring and governance: Build dashboards to monitor portfolio health and strategy performance. Develop and implement improvements to credit portfolio monitoring, client review tracking, management reporting, and customer risk rating assignments

Required Qualifications:

• 2+ years in analytics within credit risk management.

• Fluent in English.

• Excellent written and verbal communication skills.

• Intellectual curiosity.

• Ability to translate complex data and model results into actionable business strategies.

• Proficiency in SQL and Excel.

• Experience using Python or R for data analysis and statistical modeling (regression, clustering, etc.)

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