Intuit Staff Loss Forecasting Lead 

United States, California, Mountain View 

959098289

The role as QuickBooks Loss Forecasting Strategy Lead will dive into three areas to help the business grow:

• Develop and enhance loss forecasting models to accurately reflect new lending business initiatives.
• Partner with the credit team to ensure the loan portfolio remains within risk tolerance while supporting portfolio growth.
• Collaborate with capital markets, finance, and accounting teams to communicate methodologies, provide forward-looking guidance, and solve problems.

• Continuously improve forecasting accuracy and processes; establish and maintain thorough documentation of methodologies and procedures.
• Connect data points into a cohesive narrative to build deeper awareness of internal and external factors impacting the portfolio.
• Conduct in-depth analysis of lending portfolio performance; consolidate analytics insights and dashboards for presentations to business stakeholders and senior leadership.
• Develop solutions to enhance data quality and usability; perform analysis at various levels of data aggregation and make informed decisions on data structure and feature generation, leveraging risk expertise.
• Actively contribute creative ideas for the design of new financing products tailored to QuickBooks customers.
• Build and maintain strong relationships with senior leadership across finance, capital markets, and accounting to align inputs, results, and business impacts.

Bay Area California $172,000- $232,500

• 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 6+ years of relevant work experience.
• 6+ years of experience in an analytics-related role; experience in lending or fintech is strongly preferred.
• Proven track record of extracting insights from data to address business needs, paired with a passion for data analysis and a proactive approach to identifying business opportunities and driving innovation in the lending industry.
• Proficient in analytics tools such as Python or R, with advanced Excel skills and strong SQL and relational database querying capabilities.
• Domain knowledge in risk-related areas such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections, and fraud detection.
• Meticulous attention to detail with strong organizational, time management, and task prioritization skills; takes pride in producing high-quality work and the sound assumptions behind it.
• Excellent communication skills, a fast learner, and confident in taking ownership of initiatives.
• Comfortable working in a fast-paced environment.