Staff Credit Risk Analyst

Overview

One out of every two small businesses fail within their first five years, most often due to running out of cash. QuickBooks 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 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. That’s how we power prosperity.

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.

Responsibilities

• Partner with teams across Intuit (including product development, marketing, data engineering, compliance, risk , data scientists etc.) to enable decision support and key customer insights for QuickBooks Capital.

• Develop and implement credit risk strategies and policies and drive business growth by supporting and scaling strategies for consumer lending and banking portfolio

• Improve the current customer experience by deploying risk mitigations enabling product feature expansion to industry standard.

• Use big data technology to mine massive scale transactional data to credit risk analyses and translate into actionable business opportunities

• Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and be decision maker with risk expertise on data structure and feature generation process

• Dive deep into our lending portfolio performance and consolidate analytics insights/dashboards to present in front of business audience and senior/executive leaders

• Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy

• Actively contribute creative ideas to design new financing products for our QuickBooks customers

Qualifications

• MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 8+ years working experience

• 6-8+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred

• Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively

• Proficient in one of the following analytics tools, such as Python, R, and SAS.

• Advanced Excel skills with strong logical and SQL/relational database query skills

• Familiar with big data technology such as HIVE, Hadoop and other related concepts

• Having risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections

• Excellent communication skills and ability to learn fast, and confidence in taking ownership

• Passion for analyzing data, proactively looking for business opportunities and drive new innovation in lending industry

• Able to work in a fast-paced working environment

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits (https://www.intuit.com/careers/benefits/full-time-employees/) ). 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:

Mountain View $176,500 - $238,500

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.