Intuit Quick Books is transforming financial services for small businesses and mid-market

customers with its innovative money movement platform. The Fraud Policy team is

dedicated to preventing fraud across all fintech products, utilizing advanced technology to

detect fraud while minimizing impact on good customers.

As a Junior Fraud and Risk Analyst, you will support the team by assisting in the design and

implementation of fraud mitigation risk strategies. You'll work closely with Senior Analysts

and cross-functional teams like Risk Operations, Data Science, and Product. This is an

excellent opportunity for someone passionate about applying decision science and

analytics to solve real-world customer problems and grow their expertise in fintech risk

management.

Responsibilities

• Help monitor and respond to emerging fraud/compliance risk events and demands.

• Support risk policy development for our fintech products, including Subscription,

Payments and Banking.

• Gather data and prepare analyses to support the creation of end-to-end risk policies

and inform alignment with cross-functional stakeholders.

• Conduct research on the latest trends and technologies in fintech fraud to support

the team's ability to maintain strong defenses.

• Assist in fraud detection and prevention loss exposures in customers’ money

movement activities.

• Assist in compiling financial analytics to enable SMB and Mid-Market customer

growth and expansion, helping to enhance trust-enabled merchant and consumer

experiences.

Qualifications

• 1-3 years of relevant experience in Fintech, financial services, or a highly regulated

industry, with an interest in payments and SMBs.

• BS or MS degree in Statistics, Mathematics, Operations Research, Computer

Science, Econometrics, or a related field; equivalent experience will be considered.

• A strong foundation in business acumen and analytical ability.

Experience or:

coursework in using data-driven insights to solve problems.

• Basic understanding of the fundamentals of risk policy for payments processing,

including fraud detection and float risk mitigation.

• Proficiency in statistical analysis tools like SQL and Excel; basic familiarity with

Python or R is a plus.

• Experience with, or willingness to learn, data visualization tools and big data

concepts.

• A curious and decisive mindset, thriving in a fast-paced environment, and a

commitment to being a lifelong learner.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. 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 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, NY: $122,000-$165,000

Bay Area California: $123,500-$167,500