Quant Analytics - Senior Associate - Alternative Lending Analytics Team

Join the Alternative Lending Analytics Team, where you'll use your analytical expertise to drive customer engagement and product performance. You'll collaborate with stakeholders, define metrics, source and analyze data, and deliver actionable reports. The role involves leading complex analytical projects, designing experiments, and presenting insights to senior leadership. You'll influence business decisions, manage priorities, and ensure client satisfaction through effective communication and data-driven recommendations.

Use your analytical skills to drive the alternative lending products and serve customers better. As a Quant Analytics Senior Associate in the Alternative Lending analytics Team, you will be responsible for working across alternative lending stakeholders and partners to drive customer engagement and product performance by defining metrics, sourcing data, developing queries, and creating reports. You'll combine analytic skills with specific domain knowledge to make data actionable allowing for ease of consumption.

You'll translate between analytic and non-analytic groups as well as facilitate holistic, cross-functional learning. You'll use exceptional quantitative analytic & problem‑solving skills, superior communication skills, and sound judgment to effectively work in a fast pace and dynamic environment.

• Participate in strategic projects and provide ideas and inputs on ways to leverage quantitative analytics to generate actionable business insights and/or solutions to influence business strategies and identify opportunities to grow.
• Complete complex analytical projects end to end with limited guidance and instructions, from formulating project proposal, performing hands‑on data mining and analysis, translating findings into actionable business solutions, and managing project timeline.
• Present final results and recommendations to senior leadership and business partners.
• Drive experiment design and evaluate campaign effectiveness.
• Sets correct expectations and manage priorities to meet commitments.
• Collaborate with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction.
• Effectively convey analytical findings and recommendations in a way that influences and informs stakeholders.
• Contribute to a positive and inclusive culture and team environment.

• BS/BA degree in a relevant quantitative field (e.g., Statistics, Economics, Finance, Business Analytics, Mathematics, Engineering, Computer Science or related field involving significant quantitative research & data analytics).
• 2+ years of industry experience in business analytics roles (e.g., marketing/risk analytics, product analytics, business insights).
• 2+ years of work experience across a broad range of analytics technologies and tools (SAS, SQL, Spark, Python, AI LLM etc.) in a big‑data environment.
• Financial services experience especially in credit card or mortgage.
• Exceptional communicator who can convey complex information in an understandable, compelling, and persuasive manner to technical and non‑technical stakeholders.
• Ability to identify key drivers, prioritize, be results‑oriented, and have strong attention to detail.
• Proficient applying quantitative methods for business analytics.
• Adept critical thinker and problem solver.

• Advanced degree in a relevant quantitative field.

We are an equal‑opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.