Senior Credit Risk Strategy Analyst

One out of every two small businesses fails within their first five years, and most often, it's because they run out of cash. At Quick Books Capital, our mission is to make a real impact on that statistic. We provide small businesses with the capital they need, precisely when they need it, by leveraging the power of data within Quick Books for faster and smarter decision‑making.

This way, our customers never again have to worry about missing a payroll or saying no to a growth opportunity. That's how we power prosperity.

We are a nimble, high‑priority, and rapidly growing startup within Intuit. We are reinventing small business lending and are looking for top talent to join our innovative and fun team. If you thrive on new challenges and enjoy cracking tough problems in a fast‑paced environment, we encourage you to apply.

As a Senior Credit Analyst at Quick Books Capital, you will play a vital role in helping our business grow. You will be a key contributor to our credit strategy, focusing on underwriting and account management policies for our lending products. Your work will directly influence our ability to provide value to our customers while driving business growth and meeting our P&L goals.

• Analyze complex data to craft and propose credit policies for underwriting and account management. Optimize existing pre‑qualification and targeting strategies.
• Manage and report on the performance of our credit policies and portfolios, extracting meaningful insights to drive business actions and align with stakeholders and leadership.
• Proactively identify opportunities for enhancement across all customer touchpoints, from credit risk to the overall product experience, and drive these ideas from concept to real business results.
• Work closely with cross‑functional teams, including product development, data science, and marketing, to design new products and credit strategies. Influence and reach agreements with these teams will be critical to your success.
• Use big data technologies to mine massive transactional datasets for credit risk analysis, translating findings into actionable business opportunities.
• Design, implement, and monitor tests to explore new methodologies and estimate key metrics for acquisition strategies and credit policies.

• Education:
  
  MS/PhD in quantitative fields such as Statistics, Operational Research, Industrial Engineering, Economics, etc. Or Bachelor’s degree in same fields with 4+ years working experience.
• Experience:
  
  4+ years of professional experience in an analytics‑related role is required. Lending or Fin Tech experience is strongly preferred.
• Technical
  
  Skills:
  
  Proficient in Python, R, or SQL.
• Advanced Excel skills and strong relational database query skills are also a must. Familiarity with big data technologies like Hive or Hadoop is a plus.
• Domain Knowledge:
  Strong knowledge of credit risk concepts, including credit bureau attributes, scorecard modeling, loss forecasting, and fraud detection.
• Soft Skills:
  
  Excellent communication skills, a proven ability to dive into data, and a passion for finding business opportunities. Results‑driven and thrive in a fast‑paced environment.
• Mindset:
  Track record of taking full ownership of work, proactively seeking solutions, and collaborating effectively with a team.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:

Bay Area California $,500