Intuit QuickBooks is on a mission to help small businesses with their finances and eliminates drudgery so entrepreneurs can focus on what they do best: running their business. We are looking for a strong quantitative risk strategy lead who is an experienced risk and payments professional responsible for developing risk solutions for faster and better decisioning to facilitate sustainable business growth. This lead will be part of an innovative, fast-paced, and deeply passionate team that is determined to change the way SMBs get paid, to make it so they “can’t imagine going back to the old way” ever again.
This role is responsible for assisting in driving fraud risk aspects of business initiatives as well as responding to fraud-related events and demands. Successful candidates for this role will leverage industry knowledge, risk expertise, statistical modeling/analytics, and innovative risk strategies and solutions to enable Intuit SMB growth and expansion, achieve optimal profitability, and enhance trust-related consumer and merchant experience.
Come join the Strategic Risk team as a Senior Fraud & Risk Analyst.
Responsibilities
- Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans.
- Lead the full cycle of risk strategy/policy work, including identifying opportunities and action plans, developing and testing policy, launching policy to production, and monitoring performance.
- Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem.
- Team up with our data scientist, risk operations, product, data engineering, and analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses.
- Test into and recommend 3rd party data providers to solve individual/business risk and other types of exposure risk.
- Constant analysis and research with multiple tools in order to optimize the various risk mitigation methods and mechanisms.
- Must have good judgment with the ability to think creatively and strategically.
Minimum Requirements
- MS/PhD in quantitative fields such as Statistics, Mathematics, Finance, Economics, Operations Research, or a related field with 2+ years working experience in data analytics or data science related role. Or bachelor’s degree in the same fields with 4+ years working experience.
- Proficient in SQL, Python, Tableau, and Excel, with working knowledge of A/B testing as a plus.
- Strong analytical and problem-solving skills. Familiar with statistical modeling, loss forecasting, and collections. Having working knowledge of the fundamentals of payment processing and an understanding of industry fraud and risk trends is a plus.
- Have a track record of diving into data and driving data insights for business needs both quantitatively and qualitatively.
- Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively look for business opportunities and drive new innovations.
- Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations.
- Able to work in a fast-paced working environment, multitask, balancing short and long-term strategic implications to meet or exceed business objectives.
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