Upstart
Staff Analyst, HELOC
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Job Description
- Req#: 7331514
Employer Industry: Fintech and Lending
Why consider this job opportunity:
- Salary up to $217,500
- Target bonuses and equity compensation included in the overall compensation package
- Generous benefits including medical, dental, vision, and 401k
- Opportunity for career advancement and growth within a dynamic analytics team
- Flexibility to work remotely from anywhere in the U.S.
- Engaging work environment focused on data-driven decision-making and collaboration
What to Expect (Job Responsibilities):
- Develop and execute data-driven strategies to guide the growth and evolution of the HELOC product
- Design, build, and maintain analytics frameworks to measure product performance and user behavior
- Collaborate with Product Managers to lead the design and execution of A/B testing and causal inference strategies
- Conduct deep-dive analyses to uncover growth opportunities and enhance risk strategies
- Communicate insights and recommendations to both technical and non-technical stakeholders
What is Required (Qualifications):
- 8+ years of experience in product analytics, data science, or a related quantitative role, preferably in fintech, lending, or consumer finance
- BS in a quantitative field (e.g., Statistics, Economics, Computer Science, Data Science)
- Proficiency in data analysis tools (SQL, Python/R, Looker/Mode/Tableau, etc.)
- Experience with A/B testing, causal inference, and experimental design
- Ability to influence product and engineering teams through compelling storytelling with data
How to Stand Out (Preferred Qualifications):
- Master’s/PhD in a quantitative field (e.g., Statistics, Economics, Computer Science, Data Science)
- Experience working with lending products, risk modeling, or financial services analytics
- Background in statistical analysis, predictive modeling, or machine learning
#Fintech #DataAnalytics #RemoteWork #CareerGrowth #EqualOpportunityEmployerAbout the company
Upstart's lending platform provides direct-to-consumer personal loans from $1,000 to $50,000 and automated borrowing technology for banks and credit unions.
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