Lead Analyst

Sun King

1d • Onsite

About The Position

The Data Intelligence (DI) Team at Sun King is central to driving strategic decision-making through data-informed insights. This team works with various departments to identify growth opportunities, optimize processes, and provide actionable insights that shape business strategy. The team combines business acumen with technical expertise, including data evaluation, machine learning, and advanced storytelling, to ensure that data becomes a key driver of impact across the organization. The DI team is seeking a Lead Analyst with expertise in strategic evaluation, business storytelling, and advanced data methods to play a pivotal role in enhancing credit risk frameworks and optimizing financial performance. The Lead Analyst will play a critical role in evaluating initiatives led by business units against their risk appetite by bridging the gap between data science and sustainable portfolio growth. This role requires a strong ability to connect business strategy and technology.

Requirements

• A bachelor’s or master’s degree in data science, business analytics, computer science, or a related quantitative field.
• 7+ years of experience in business intelligence or strategic evaluation, with a strong preference for candidates with a background in Credit Risk, Fintech, or Financial Services.
• Proven track record of designing and deploying automated underwriting engines that combine machine learning models with heuristic business rules to optimize portfolio ROI.
• Proficiency in SQL is a must.
• Prior experience in Project Management.
• Experience in data visualization tools like Tableau, Looker, or Power BI to create compelling, actionable insights.
• A strong business mindset with the ability to understand and address cross-functional business problems and strategic opportunities.
• Strong statistical understanding and the ability to apply statistical methods and models like Price Elasticity Modeling to solve business problems and inform decision-making.
• Exceptional storytelling and communication skills, with a demonstrated ability to convey insights to both technical and non-technical audiences.
• Strategic and results-focused, with a risk-aware mindset that considers the long-term financial implications of every business choice.
• Business-oriented and curious, with a strong desire to understand and address organizational problems.
• Proactive and cooperative, with excellent interpersonal and stakeholder management skills.
• Adaptable and eager to learn, staying ahead of trends in business strategy, data methods, and visualization tools.
• A problem solver who thrives on turning insights into impactful actions.

Nice To Haves

• Python an added advantage.
• Experience with cloud platforms (AWS, GCP, Azure) is a plus but not required.

Responsibilities

• Guide the evaluation and refinement of underwriting criteria by applying A/B testing and regression techniques to credit scoring models, ensuring policies effectively differentiate between risk segments to minimize default rates while maintaining growth targets.
• Partner with Business Units to develop and test pricing strategies, focusing on the intersection of market positioning and long-term customer repayment behavior to ensure sustainable portfolio health.
• Utilize real-time repayment data to identify opportunities to adjust policies—tightening or loosening credit barriers based on shifting macro-economic or cohort-specific trends.
• Serve as a bridge between data science and business units, evaluating all new growth initiatives against the organization’s risk appetite and long-term financial performance.
• Develop and execute advanced data models to solve complex business problems, moving beyond descriptive reporting into prescriptive strategy.
• Design and manage high-impact dashboards (Tableau, Looker, or Power BI) that track KPIs and "early-warning indicators" of credit stress, enabling senior managers to make rapid, informed choices.
• Work with engineering teams to optimize data pipelines and workflows, ensuring that the data used for underwriting and pricing is accurate, low-latency, and scalable.
• Drive the definition and monitoring of success metrics that align business operations with financial sustainability and operational efficiency.
• Own the full lifecycle of complex analytical projects, ensuring they are delivered on time, within scope, and across multiple departmental stakeholders.
• Apply business process expertise to provide actionable recommendations that connect technical insights with field-level execution.

Benefits

• Professional growth in a dynamic, rapidly expanding, high-social-impact industry
• An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior