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• Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize financial risk strategies/policies, and translate into actionable business plans• Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the 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, 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 credit risk and other types of exposure risk• Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies• Must have good judgement with the ability to think creatively and strategically
Bay Area California $144,000.00 - $195,000
This position will 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
• MS/PhD in quantitative fields such as Statistics, Mathematic, 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 same fields with 4+ years working experience. Or equivalent experience. • Proficient in SQL, Python, Tableau, and Excel, working knowledge of A/B testing is 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 drive data insights for business needs both quantitatively and qualitatively• Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking 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 & long term strategic implications to meet or exceed business objectives
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