Intuit-posted 2 months ago
$172,000 - $232,500/Yr
Full-time • Senior
Mountain View, CA
5,001-10,000 employees
Publishing Industries

QuickBooks Capital is on a mission to provide small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are the fastest growing SMB lending business in the market. We are looking for top talents and team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply.

  • Lead new lending business initiatives from a credit risk strategy perspective, bringing innovative ideas to optimize processes, maximize customer value, and fuel business growth.
  • Proactively identify opportunities for enhancement across the customer lifecycle, taking ownership from ideation to execution.
  • Monitor portfolio performance regularly, analyze trends, and communicate insights and recommendations to stakeholders and senior leadership.
  • Collaborate with the data science team to design and implement innovative risk solutions.
  • MS/PhD in a quantitative field such as Statistics, Operations Research, Industrial Engineering, Economics, etc., or a Bachelor's degree in the same fields with 3+ years of relevant work experience.
  • 6+ years of professional experience in an analytics-related role; lending or fintech experience is strongly preferred.
  • Proven track record of extracting actionable business insights from data using both quantitative and qualitative approaches.
  • Proficiency in at least one analytics tool, such as Python, R, or SQL.
  • Advanced Excel skills, with strong logical thinking and expertise in SQL/relational database queries.
  • Familiarity with big data technologies such as Hive, Hadoop, and related frameworks.
  • Domain knowledge in credit risk, including areas such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections, and fraud detection.
  • Excellent communication skills, with the ability to learn quickly and confidently take ownership of initiatives.
  • Strong passion for data analysis, with a proactive approach to identifying business opportunities and driving innovation in the lending industry.
  • Ability to thrive in a fast-paced, results-driven environment.
  • Competitive compensation package
  • Cash bonus eligibility
  • Equity rewards
  • Comprehensive benefits package
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