Staff Fraud and Risk Analyst

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

Descripción de la vacante

Intuit, Inc. is expanding its Fraud Policy team and seeks a Staff Fraud and Risk Analyst to design and implement fraud mitigation strategies across consumer lending products.

You will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance to reduce fraud while preserving good customer experiences. You will develop end-to-end risk policies for money movement products, align with stakeholders, and respond to fraud-related events.

Formación

• 5+ years of relevant experience; quantitative degree in statistics, math, finance, data science, or MS/PhD with 2+ years.
• Fintech, payments, neo-banking or consumer lending fraud space preferred.
• Familiarity with risk policy for consumer loans and identity checks.
• Experience designing experiments and using data-driven insights.
• Proficient in SQL, Excel, Python, R; data visualization; familiarity with Hive/Hadoop.

Responsabilidades

• Use advanced analytical techniques to mine large datasets to build/optimize fraud risk policies.
• Lead end-to-end risk policy work from ideation to production and monitoring.
• Develop expertise in money movement risks to balance risk and growth.
• Collaborate with data science, risk operations, product, data engineering, analytics teams.
• Test and evaluate 3rd party data providers for identity risk and exposure.
• Design and monitor experiments to estimate key risk metrics.
• Exercise good judgment and think strategically during peak fraud activity.

Conocimientos

SQL

Python

R

Excel

Data Visualization

Hive

Hadoop

Educación

Bachelor's degree in quantitative field or MS/PhD

Herramientas

Power BI

Descripción del empleo

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