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Fraud Risk Support Analyst

Join Rain as a Fraud Risk Support Analyst to protect customers and enhance fraud detection in a fast-growing fintech environment.

Location
New York, NY
Compensation
Not disclosed
Level
mid
Type
full time · Hybrid

Posted by employer 3 months ago

First seen on Joblaze 2 months ago

Last verified on the company career page 11 hours ago

Apply at Rain → Save job Scanned from rain.xyz

AI in the day-to-day

Experience using AI-assisted tools for fraud analysis, document creation and optimizing workflows.

Requirements

Experience
2+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

401k Match Gym Membership Unlimited PTO Equity/Stock Options Remote Work Health Insurance

Joblaze summary

The Fraud Risk Support Analyst at Rain plays a crucial role in managing fraud-related escalations, conducting data analysis to identify fraudulent activities, and collaborating with various teams to enhance risk mitigation strategies. Proficiency in SQL, Excel, and data visualization tools is essential, along with a background in fraud prevention or financial crime investigation. This position is well-suited for individuals with at least two years of relevant experience, particularly those who thrive in fast-paced fintech environments. Rain's commitment to innovation in payment technology presents unique challenges and opportunities for growth in fraud management.

Joblaze insights

  • Listed about 2 months ago — first seen on Joblaze September 3, 2026. Last confirmed on Rain's careers page November 2, 2026.
  • Python appears in 15.7% of 4943 comparable mid other roles; data visualization appears in 0.1% of 4943 comparable mid other roles.

Quick facts

Is the Fraud Risk Support Analyst role remote?
It's hybrid — Rain expects some on-site time in New York, NY.
How much experience is required?
At least 2 years of relevant experience for this Fraud Risk Support Analyst role.
Where is the role based?
Rain is hiring for this position in New York, NY.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI-assisted tools, AML, Excel, Fraud Prevention, Python, SQL.
What seniority level is this role?
Rain targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Fraud Risk Support Analyst role at Rain.

From the original posting

About the Team

The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and provide them a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed up fraud detection and response, and creating risk rules and strategies empowered with ML models. We are a pillar of the business supporting new products and ensuring their success. Rain’s next generation payment technology brings unique and new fraud vectors requiring holistic, end-to-end thinking, strong data fundamentals and fraud management savvy to combat.

What you’ll do

  • Serve as a primary point of contact for fraud-related escalations from partners and customers.

  • Create ad hoc data pulls with SQL for anomaly investigation and analyze the results for fraudulent activity.

  • Document investigation findings, actions taken, and outcomes in accordance with internal processes.

  • Work with Visa tools to investigate transactions and report fraud to Visa (via their tools) and our partners as needed.

  • Recommend actions on cards, accounts and rule sets based upon deep dives of fraudulent traffic.

  • Stay current with the latest industry fraud trends, emerging fraud techniques, and new technologies to remain effective at identifying and preventing evolving schemes.

  • Partner with Product, Engineering, and Compliance teams to escalate findings and inform rule changes.

You are likely to succeed if you have:

  • Proficiency in SQL, Excel and data visualization tools.

  • 2+ years of experience in fraud prevention, payments risk, or financial crime investigation.

  • Strong verbal and written communication skills.

  • Background in identity risk, AML, payments fraud, or compliance analytics.

  • The ability to investigate transactions and other user events and be able to determine risk level of anomalous behavior.

Bonus attributes:

  • Experience at a high-growth fintech company or financial services company.

  • Experience working with disputes and disputes processing.

  • Deep experience working with Visa tool suite.

  • CFE certification.

  • Proficiency and experience with Python.

  • Experience using AI-assisted tools for fraud analysis, document creation and optimizing workflows.


Standard company text repeated across Rain's postings is omitted here.

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