Senior Credit Risk Analyst - Fintech
$150.5k - $204kIntuit Financial Services
One out of every two small businesses fails 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 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. Responsibilities A Senior Credit Risk Analyst plays a pivotal role in driving business growth by leveraging data-driven insights and fostering cross-functional collaboration. Key responsibilities include:
- Collaborative Product Development and Leadership:
- 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
- Leverage AI for continuous process improvements and efficiency boost:
- Business Trend Analysis and Insights Delivery:
- Identify and Execute Growth Opportunities Across the Customer Lifecycle:
- 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
$150.5k - $204k
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