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We have an exciting opportunity for you to enhance your career by innovative banking solutions.
As a Quantitative Analytics Analyst within the Auto Finance Data & Analytics team, you will leverage reporting, analytics, and AI/ML to support product teams, build analytical solutions, guide strategic business decisions, and enable growth initiatives. You will partner closely with Product, Technology, Design, Risk, and other cross-functional teams to translate complex business questions into analytical and AI/ML solutions. You will combine strong technical skills, business judgment, intellectual curiosity, and a passion for applying modern analytics and technology to deliver business outcomes.
Job responsibilities
- Conduct deep-dive analyses to generate actionable insights and recommendations, using data-driven storytelling to demonstrate value and influence product roadmap initiatives.
- Build applications and utilities that call LLM APIs to support analytics workflows
- Support reporting that communicates product performance, and present findings and recommendations to senior leadership.
- Collaborate with cross-functional PXT teams, including Product, Design, and Engineering, to inform product development.
- Serve as an analytics subject-matter expert by formulating problem statements, sizing opportunities, and defining success metrics.
- Identify business problems and opportunities where AI/LLM-based solutions can create value; design and develop solutions that improve decision-making, enhance customer experiences, and drive measurable business outcomes.
Required qualifications, capabilities, and skills
- Bachelor’s degree in statistics, economics, mathematics, or engineering with 3+ years of experience
- Familiarity with modern analytics platforms and data visualization tools, including SQL, Alteryx and Tableau.
- Experience in building Conversational AI applications and in orchestrating AI/ML services for building a complete solution
- Curiosity and demonstrated initiative in learning and applying AI/LLM technologies to business problems and projects.
- Strong critical thinking and analytical skills, with attention to detail.
- Excellent written and verbal communication skills
- Ability to multitask, prioritize effectively, and demonstrate strong organizational and problem-solving skills.
- Demonstrated knowledge of analytics platforms, technical processes, and data workflows within a technical discipline.
- Strong skills in designing, developing, and operationalizing data products.
Preferred qualifications, capabilities, and skills
- Hands-on experience building AI/LLM solutions.
- Familiarity with Github CoPilot or similar tools.
- Prior exposure to marketing, competitive intelligence, or strategic analytics
- Highly organized, intellectually curious, and able to manage multiple priorities effectively.