We are seeking a highly analytical Senior Business Analyst to lead the development of data-driven credit policies and business strategies at Jeeves. In this role, you will leverage diverse internal and external data sources to optimize underwriting, strengthen customer credit management, and minimize portfolio risk. You will drive cross-functional initiatives to enhance our data and analytics framework, support scalable business growth, and improve credit monitoring and governance. This position requires strong expertise in commercial credit risk, advanced analytical skills, and the ability to translate complex insights into actionable strategies. Location This role is based out of São Paulo, Brazil, and is a full-time position where it is required to come into our office at complexo JK Iguatemi 2-3 days per week. Job Responsibilities Lead the development of 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. Design and implement data-driven strategies for customer management, including policies for credit line increases, decreases, and line reinstatements. Work closely with the sales and business development teams to support business growth strategies that preserve effective underwriting and ensure the appropriate application of Jeeves’ credit policy. 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. Leverage predictive statistical methodologies (e.g., linear/logistic regression, segmentation analysis) to draw insights and develop business strategies. Partner with data scientists to build and leverage credit risk models to optimize credit policies and improve business performance. Improve credit monitoring and governance: define key performance indicators (KPIs) for credit portfolios; 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. Partner with product, engineering, and finance teams to create and maintain risk-adjusted returns framework, including loss forecasting, and execute credit policies and features. Implement risk metric monitoring and develop risk mitigation strategies. Provide guidance and mentorship to junior analysts on the team, fostering a culture of rigorous analysis and innovation. Required Qualifications 4 years in analytics within credit risk management. Fluent in English; English is the internal language we use for communication between regions. Excellent written and verbal communication skills. Intellectual curiosity. Experience in commercial credit risk, specifically within credit cards, payments, lending, or related industries. Proven ability to translate complex data and model results into actionable business strategies. Experience utilizing alternative data sources. Advanced proficiency in SQL and Excel. Experience using Python or R for data analysis and statistical modeling (regression, clustering, etc.). Preferred Qualifications Experience in architecting, implementing, and interpreting risk/scoring models in conjunction with data science teams. Experience in high-growth startups. Experience with visualization tools such as Tableau. Experience building complex financial products and models. J-18808-Ljbffr