Staff Fraud and Risk Analyst - Fintech

Intuit, Inc.; Mountain View (CA); Presencial; USD 169.000 - 228.000; Jornada completa

Descripción de la vacante

Intuit, Inc. in Mountain View, CA, seeks a Staff Analyst, Fraud Policy to own end-to-end policy decisions across money movement rails and defend against emerging attacks while preserving good customer experience.

You'll collaborate with fraud strategy, data science, engineering, dispute ops, and compliance to design, implement, and monitor policy, test new approaches, and measure key metrics across the ecosystem.

Formación

• 5+ years of relevant experience and a quantitative degree or MS/PhD with 2+ years.
• Experience in Fintech, Payments, or Money Movement preferred.
• Strong data analysis and experimentation design.
• Proficiency with SQL, Excel, Python, R; familiarity with big data tools.

Responsabilidades

• Mine large-scale account/transaction data to build fraud risk policies.
• Lead end-to-end policy work from opportunity to production.
• Develop risk strategies balancing mitigation and growth.
• Collaborate with data science, risk ops, product, and analytics teams.
• Evaluate third-party data to tackle identity theft and exposure risk.
• Design tests to estimate policy performance and impact.
• Demonstrate sound judgement in fast-moving fraud scenarios.

Conocimientos

Analytical ability

SQL

Python

R

Excel

Data storytelling

Cross-functional work

Educación

Bachelor's degree in quantitative fields

MS/PhD with 2+ years experience

Herramientas

Hive

Hadoop

Descripción del empleo

Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.

Our team owns fraud policies across all the consumer lending and banking product suites — Onboarding risk, Money in Channels, ACH, RTP, OCT , ATO risk. We're hiring a Staff Analyst, Fraud Policy to own end-to-end policy decisions across these money movement rails: detecting emerging attacks, sizing the exposure, designing controls in our real-time decisioning stack, and defending the tradeoff between loss and member experience to leadership.

This is a high-leverage seat. You'll work directly with fraud strategy, data science, engineering, dispute ops, and compliance to keep the ecosystem secure without breaking the experience for legitimate members, utilizing cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers.

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 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 stolen identity, ATO 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

Qualifications

• Strong business acumen and exceptional analytical ability, with 5+ years of relevant experience and bachelors degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.
• Preferred experience with Fintech, Payments, NeoBanking, Crypto, or Money Movement space.
• Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks
• Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
• Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.
• Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.
• You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.
• Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations

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.

The expected base pay range for this position is:
New York $168,500 - $228,000