Staff Fraud and Risk Analyst

Intuit, Inc.; New York (NY); On-site; USD 169,000 - 228,000; Full time

Job summary

Intuit, Inc. is expanding its Fraud Policy team in New York to power risk-aware lending and money movement products. The Staff Fraud and Risk Analyst will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance to craft and implement fraud mitigation strategies.

The role emphasizes policy design, data-driven decision making, and cross-functional leadership to balance risk with growth across Intuit’s ecosystem.

Qualifications

• 5+ years of relevant experience with quantitative degree.
• Bachelor's in Statistics/Mathematics/Finance/Data Science; or MS/PhD with 2+ years.
• Experience in Fintech, Payments, NeoBanking or consumer lending fraud.
• Knowledge of risk policy for consumer loans including fraud detection and identity checks.
• Proficient in SQL, Excel, Python, R; familiar with Hive/Hadoop.
• Strong communication and cross-functional collaboration.

Responsibilities

• Develop fraud risk policies for money movement products, focusing on detection and prevention.
• Lead end-to-end risk policy development and production deployment.
• Mine large datasets to build and optimize fraud risk strategies.
• Collaborate with data science, risk operations, product, engineering, and analytics teams.
• Evaluate 3rd party data providers to address identity and exposure risk.
• Design experiments and tests to estimate key metrics for risk strategies.
• Demonstrate good judgment and strategic thinking during peak fraud activity.

Skills

Analytical thinking

Storytelling with data

Cross-functional collaboration

Decision making

Communication

Education

Bachelor’s in Statistics/Mathematics/Finance/Data Science

Tools

SQL

Excel

Python

R

Hive

Hadoop

Job description

Overview

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.

As part of our commitment to preventing fraud across all consumer lending products, we are expanding our Fraud Policy team, which utilizes cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers. As a Staff Fraud and Risk Analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance teams to design and implement fraud mitigation risk strategies. If you're passionate about solving real customer problems through decision science and analytics, we welcome you to join our talented team.

Responsibilities

This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.

• 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 or consumer lending fraud 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