Senior Credit Risk Analyst - QuickBooks Capital

One out of every two small businesses fails within their first five years, most often due

to running out of cash. Quick Books Capital is on a mission to make a dent in that

statistic, by providing small businesses access to the capital they need when they need

it, leveraging the data inside Quick Books 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. That’s how we power prosperity.

Quick Books 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 talent 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.

• Design and Develop Reporting Suites and Datamarts:
  • Take ownership of creating and maintaining a comprehensive reporting suite tailored to the monitoring needs of the credit business. Translate complex business requirements into scalable technical solutions that balance strategic thinking and technical expertise.
  • Build centralized datamarts that can serve as the foundation for can be used to scale up reporting capabilities as the business grows.
• Business Trend Analysis and Insights Delivery:
  Continuously track, analyze, and interpret business trends and key performance metrics. Conduct deep dives into data anomalies and deliver actionable insights and recommendations to stakeholders through clear and concise communication.
• Collaborative Product Design and Leadership:
  Spearhead cross-functional collaboration with product development, product management, marketing, data engineering, compliance, underwriting, and other teams. Apply an end-to-end approach to design effective and customer-centric products and solutions.
• Identify and Execute Growth Opportunities Across the Customer Lifecycle:
  Proactively pinpoint opportunities for improvement across all customer touchpoints, extending beyond credit risk. Take full ownership from concept development to execution, ensuring measurable impacts on business outcomes.
• Leverage Big Data for Advanced Insights:
  Harness the power of big data technologies to analyze large-scale transactional data, transforming complex insights into actionable strategies that drive credit risk optimization and overall business growth.

BS/MS in a quantitative field such as Statistics, Operations Research, Business/Finance, Economics, etc, with 4+ 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.
• Experience in any major dialect of SQL (we use HiveQL)
• Strong Python skills with experience in Pandas. PySpark is a big plus.
• Familiarity with big data technologies such as Hive, Spark, and related frameworks.
• Experience with building complex dashboards using common BI tools such as Tableau, Qliksense, etc
• Excellent communication skills: demonstrated ability to explain complex technical issues to both technical and non-technical audiences
• Strong passion for data analysis backed by solid analytical thinking skills, with a proactive approach to identifying business opportunities and driving innovation in the lending industry.
• Ability to learn fast and thrive in a fast-paced, results-driven environment.
• Meticulous attention to detail
• Great team player

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 $ 135,