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We are seeking a highly analytical Credit Analyst to help develop data-driven credit policies and support the growth of Jeeves’ global credit portfolio. In this role, you will use a wide range of internal and external data sources to refine underwriting criteria, strengthen new customer originations, and reduce credit risk. 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 Responsibility:
Develop best in class data-driven credit policies and business strategies
Deliver advancements in data and analytics
Improve credit monitoring and governance
Requirements:
4+ 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.)
Nice to have:
Experience in commercial credit risk, specifically within credit cards, payments, lending, or related industries
Experience utilizing alternative data sources
Experience in architecting, implementing, and interpreting risk/scoring models in conjunction with data science teams
Experience in high growth startups preferred
Experience with visualization tools such as Tableau
Experience building complex financial products and models
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