About the Role:

The Insights team within the Corporate Risk function plays a key role in developing and managing data-informed strategies that help manage overall risk within the Pay-As-You-Go business model. This role involves reviewing and tracking the performance of current strategies and recommending improvements that enhance outcomes. It includes designing campaigns and running parallel tests to refine current and future strategies, as well as coordinating the preparation of performance reports and updates for senior management.

What you will be expected to do:

• Review portfolio, credit, and collections performance to identify risk patterns and areas for improvement.
• Develop statistical models and testing frameworks (such as A/B testing) to improve credit policies.
• Design, track, and interpret Key Performance Indicators (KPIs) aligned with business priorities.
• Provide clear data insights to inform business planning and direction.
• Contribute to customer segmentation work and survey design to refine credit strategies.
• Monitor portfolio performance and strategic programs, identifying potential issues early to keep initiatives on track.
• Present insights to both technical and non-technical stakeholders in a clear and structured way.
• Translate complex statistical findings into practical business recommendations.
• Develop dashboards and reporting tools using Looker.
• Identify opportunities to simplify reporting and automate recurring data workflows.
• Contribute to the development of scalable data tools that improve operational efficiency.

You might be a strong candidate if you have:

• A Bachelor’s or Master’s degree in Data Science, Actuarial Science, Computer Science, Mathematics, Business Analytics, Economics, or a related quantitative field.
• 4+ years of experience in credit risk management roles, preferably within FinTech or modern consumer lending institutions.
• Demonstrated experience delivering data-based insights that informed business direction or program evaluation outcomes.
• Experience working in cross-functional environments with multiple stakeholders.

Technical Skills

• Strong proficiency in SQL and at least one data programming language (Python or R).
• Solid knowledge of statistical methods, regression techniques, and hypothesis testing.
• Familiarity with experimentation methods, including randomized controlled trials (RCTs) and quasi-experimental approaches.
• Experience with BI tools such as Tableau, Looker, or Power BI.
• Experience working with cloud data environments (AWS, GCP, or Azure) is an advantage.

Soft Skills

• Strong data reasoning and structured problem-solving ability.
• High attention to detail and dedication to data accuracy.
• Clear stakeholder communication skills (written and verbal).
• Ability to manage multiple priorities in a dynamic environment.
• Proactive approach with a strong sense of ownership and accountability.

What Sun King offers

• Professional growth in a dynamic, rapidly expanding, high-social-impact industry
• An open-minded, collaborative culture with enthusiastic colleagues driven by the challenge of innovation and making a profound impact on people and the planet.
• A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
• Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.

• Review portfolio, credit, and collections performance to identify risk patterns and areas for improvement.
• Develop statistical models and testing frameworks (such as A/B testing) to improve credit policies.
• Design, track, and interpret Key Performance Indicators (KPIs) aligned with business priorities.
• Provide clear data insights to inform business planning and direction.
• Contribute to customer segmentation work and survey design to refine credit strategies.
• Monitor portfolio performance and strategic programs, identifying potential issues early to keep initiatives on track.
• Present insights to both technical and non-technical stakeholders in a clear and structured way.
• Translate complex statistical findings into practical business recommendations.
• Develop dashboards and reporting tools using Looker.
• Identify opportunities to simplify reporting and automate recurring data workflows.
• Contribute to the development of scalable data tools that improve operational efficiency.

• Strong proficiency in SQL and at least one data programming language (Python or R).
• Solid knowledge of statistical methods, regression techniques, and hypothesis testing.
• Familiarity with experimentation methods, including randomized controlled trials (RCTs) and quasi-experimental approaches.
• Experience with BI tools such as Tableau, Looker, or Power BI.
• Experience working with cloud data environments (AWS, GCP, or Azure) is an advantage.
• Strong data reasoning and structured problem-solving ability.
• High attention to detail and dedication to data accuracy.
• Clear stakeholder communication skills (written and verbal).
• Ability to manage multiple priorities in a dynamic environment.
• Proactive approach with a strong sense of ownership and accountability.

• A Bachelor’s or Master’s degree in Data Science, Actuarial Science, Computer Science, Mathematics, Business Analytics, Economics, or a related quantitative field.
• 4+ years of experience in credit risk management roles, preferably within FinTech or modern consumer lending institutions.
• Demonstrated experience delivering data-based insights that informed business direction or program evaluation outcomes.
• Experience working in cross-functional environments with multiple stakeholders.