Fraud Risk Analytics Manager

Rippling; San Francisco (CA); On-site; USD 105,000 - 205,000; Full time

Job summary

A leading company in San Francisco is seeking a Fraud Risk Analytics Manager to safeguard financial integrity by developing fraud detection strategies and collaborating with various teams. The role requires strong analytical skills and experience in fraud prevention, particularly in fintech. You will enhance monitoring processes and work with cross-functional teams to implement effective solutions.

Qualifications

• 5+ years of experience in fraud prevention/detection, preferably in fintech.
• Strong SQL skills for analyzing large datasets.

Responsibilities

• Design and refine fraud transaction monitoring rules.
• Investigate high-risk transactions and assess fraud risks.

Skills

SQL

Data analysis

Communication

Education

Bachelor's degree in Math

Master’s degree

Tools

Fraud investigation tools

Job description

Join to apply for the Fraud Risk Analytics Manager role at Rippling

Rippling gives businesses one place to run HR, IT, and Finance, integrating workforce systems like payroll, expenses, benefits, and computers into a single platform. You can manage and automate the entire employee lifecycle efficiently.

About Rippling

Based in San Francisco, CA, Rippling has raised $1.2B from top investors including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock. It was named one of America's best startup employers by Forbes. We prioritize candidate safety; all official communication will come from @Rippling.com addresses.

About The Role

As a Fraud Risk Analytics Manager, you will safeguard our clients' financial integrity by identifying and mitigating fraud risks across our financial products. Your responsibilities include developing fraud detection strategies, monitoring transactions, preventing account takeovers, and investigating fraud incidents using analytics and large-scale data sets. You will collaborate with data science, security, compliance, product, and engineering teams to implement solutions.

What You Will Do

1. Design and refine fraud transaction monitoring rules for Payroll, Bill Pay, and Card transactions.
2. Improve policies and controls to prevent unauthorized account access, collaborating with Security teams on ATO detection.
3. Enhance fraud detection strategies based on data insights, balancing prevention with user experience.
4. Identify suspicious activities, investigate high-risk transactions, and use data analysis tools for informed decisions.
5. Assess fraud risks regularly and implement strategies to minimize them.
6. Work with Fraud, Security, Sales, Customer Service, and Compliance teams to improve monitoring and response processes.
7. Partner with cross-functional teams to design and improve fraud detection tools and systems.
8. Monitor high-risk transactions daily across products, acting promptly to mitigate risks.

What You Will Need

1. 5+ years of experience in fraud prevention/detection, preferably in fintech, payments, lending, or SaaS industries.
2. Bachelor's degree in Math, Statistics, Operations Research; Master’s preferred.
3. Strong SQL skills for analyzing large datasets and generating reports.
4. Data analysis capabilities for making data-driven risk decisions.
5. Understanding of ACH, bank transfer fraud, account takeovers, and wallet/card transaction fraud.
6. Experience with fraud investigation tools and third-party risk vendors.
7. Effective communication skills to present complex data and insights.

Additional Information

We are an equal opportunity employer committed to diversity and inclusion. Reasonable accommodations are available for candidates with disabilities. For office-based roles within 40 miles of an office, in-office work at least three days a week is considered essential. Compensation includes salary, benefits, and equity, with ranges depending on experience and location.

The pay range for this role is:

• 105,300 - 184,275 USD per year (US Tier 2)
• 99,450 - 174,038 USD per year (US Tier 3)
• 117,000 - 204,750 USD per year (US Tier 1)

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Legal, Consulting, and Finance

Industries

• Software Development