Quant Analytics Lead-Vice President

Join the Alternative Lending Analytics Team and play a pivotal role in shaping the future of the Connected Commerce lending business.

As Quant Analytics Lead within the Alternative Analytics team, you will partner with cross-functional teams to analyze data from large SQL and AWS databases, translating insights into actionable recommendations for stakeholders. You’ll need strong analytical rigor and a deep sense of curiosity. You will play a key role in launching new lending products and driving their growth, collaborating with both analytic and non-analytic groups to shape strategy and influence business decisions.

This position is ideal for an innovative leader who thrives in a dynamic environment and is passionate about using data to deliver measurable business outcomes.

You will lead the delivery of analytics and insights to inform strategies and influence critical business decisions.

• Establish and foster partnerships across the organization to understand business requirements.
• Lead the creation and execution of solutions to pull and combine data from multiple sources for lending product reporting.
• Develop analytics frameworks for new lending products.
• Collaborate with data partners to ensure data quality and integrity for new lending products.
• Lead report automation initiatives.
• Analyze customer, transaction, and product usage data to identify actionable insights.
• Communicate insights to senior leaders to influence strategy and business decisions.
• Translate complex analyses into concise executive narratives and visuals to support strategic decision-making.
• Manage multiple priorities and deliver results quickly with rigor.

• BS in an applicable STEM field and 6+ years of financial industry experience in business analytics roles (e.g., marketing analytics, risk analytics, product analytics, business insights).
• 6+ years of hands-on experience working with a broad range of analytics technologies and tools (SAS, SQL, Spark, Python, Unix, Excel Pivot, etc.) in a big data environment.
• Financial services experience, especially in credit card or mortgage analytics.
• Exceptional communication skills, with the ability to convey complex information in an understandable, compelling, and persuasive manner to both technical and non-technical stakeholders.
• Ability to identify key drivers, prioritize tasks, be results-oriented, and demonstrate strong attention to detail.
• Proficient in applying quantitative methods for business analytics.
• Adept critical thinker and problem solver.

• Master’s degree in a relevant quantitative field (e.g., Statistics, Economics, Marketing Analytics, Mathematics, Engineering, Computer Science, or related fields)