Staff Fraud Risk Analyst - Fintech

Intuit; Mountain View (CA); On-site; USD 177,000 - 239,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit's Fraud Risk Management team in Mountain View is seeking a seasoned analyst to develop, optimize and manage fraud risk strategies across credit card underwriting, transaction monitoring and exposure management.

You will work with Data Science to build fraud prediction models, run analyses, and align risk reduction with customer experience and profitability, while evaluating external tools and vendors as needed.

Qualifications

• Must have strong fraud risk analytics and modeling experience.

Responsibilities

• Develop, implement, and refine fraud risk strategies across underwriting, monitoring, and exposure.
• Use data-driven approaches to detect emerging fraud trends.
• Evaluate model performance with metrics like hit rate and false positives.
• Collaborate with Data Science to enhance fraud models.
• Share monitoring metrics via dashboards to stakeholders.
• Coordinate with Product, Engineering, Compliance, Marketing and Operations.
• Assess external tools and partnerships to maintain state-of-the-art capabilities.
• Leverage AI and automation to speed up detection and scalability.

Skills

Fraud analytics

ML techniques

Analytical thinking

Communication skills

Education

Bachelor's degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines

Tools

SQL

SAS

Python

R

Tableau

Job description

Overview

One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity.

Overview

One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity.

Intuit's Business Credit Card, a Quickbooks Capital product, is one of the company's most exciting new product launches, with aggressive growth plans and significant customer demand on the horizon. We are looking for top talent and team members that love new challenges, cracking tough problems and working cross-functionally.

As a key analyst of the Fraud Risk Management team for Intuit's Business Credit Card, you will be responsible for developing, optimizing and managing strategies for fraud risk management through the product life cycle. You will be deeply familiar with typical fraud behaviors involving identity fraud, bust out, check kiting, account take over and transaction fraud, and will develop adaptive strategies to prevent and minimize fraud losses. You will partner heavily with the Data Sciences team in developing fraud risk prediction models, fraud pattern identification analyses and in devising the overall fraud risk mitigation strategy. You will also partner with the credit risk team in developing holistic approaches to mitigating total losses and setting program performance expectations. You will strive towards striking the optimal balance between great customer experience, program profitability and fraud risk mitigation.

You will be continually evaluating and onboarding new products and tools for fraud underwriting and exposure management and will actively partner with stakeholders across lending products to develop a coordinated strategy for external vendor usage. You will be an active proponent of leveraging AI and automation in developing analytical insights, updating models and deploying strategy changes.

Responsibilities

• Develop, implement, and continuously refine fraud risk management strategies across credit card underwriting, transaction monitoring, and exposure management
• Leverage data driven and machine learning-enabled approaches to devise fraud defenses and rapidly identify emerging fraud trends in the program
• Continually evaluate fraud defenses through quantitative analysis of hit rates, false positive rates, A/B test results and cost-benefit financial analyses
• Partner with the Data Science team to identify modeling needs and enhance fraud model performance
• Develop fraud monitoring metrics, early warning indicators, trend analyses and report them through performance dashboards to various stakeholders
• Drive cross-functional collaboration with Product, Engineering, Compliance, Marketing, and Operations to balance fraud prevention with seamless customer experience
• Evaluate, onboard, and manage external fraud tools, vendors, and partnerships to ensure state-of-the-art capabilities
• Leverage AI and automation to improve fraud detection speed, scalability, and precision

Qualifications

• Bachelor's degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines
• Minimum 6 years of experience in Fraud risk analytics and risk management
• Familiarity with risk scoring and modeling techniques including regression modeling, multivariate analyses and machine learning, and their application in fraud prevention
• Proven expertise with industry-standard tools, fraud platforms, and best-in-class risk models
• Excellent analytical and problem-solving skills with a proven track record of converting analysis insights into business recommendations
• Exceptional verbal and written communication skills to effectively communicate complex ideas and influence audiences in decision making
• Proficiency with analytical packages and tools such as SQL, SAS, Python, R and Tableau

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

Mountain View $176,500 - $238,500