Forecasting Lead Jobs (NOW HIRING)

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 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.

The role as QuickBooks Loss Forecasting 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.

Responsibilities

• 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.

Qualifications

• 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.
• 7+ 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.

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). 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.