Quant Analytics Analyst

Quant Analytics Analyst

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.

Experience Level

Mid Level