Data Scientist - Fraud Risk

About Rain

Rain is pioneering the next generation of global payment solutions by enabling real-world usage of stablecoins through card transactions, cross-border payments, B2B purchases, remittances, and more. Our nimble, passionate team of experienced founders collaborate closely with fintechs, neobanks, and institutions to develop inclusive and efficient global financial solutions. We are backed by top investors in fintech, crypto, and SaaS, offering team members an environment to create significant impact and shape a borderless financial future.

Team Ethos

We operate with an open and flat hierarchy that encourages individual growth aligned with personal goals. Every member has the autonomy to propose ideas and influence the company's roadmap and vision.

Fraud Risk Management Team

This team develops scalable, sophisticated risk mitigation systems that safeguard customers while maintaining a smooth experience. Our work includes transaction and lifecycle event monitoring, fraud alerting, and the creation of risk rules informed by machine learning models. Given Rain's innovative payment methods, we face unique fraud challenges demanding comprehensive analytical approaches and strong domain expertise.

Key Responsibilities

• Maintain and own metrics, dashboards, and reporting tools that guide the company's business strategies and decision processes.
• Design and implement systems for real-time monitoring of fraud indicators and set alert thresholds.
• Create, simulate, and deploy real-time risk controls leveraging both online and offline ML predictive models.
• Ensure risk controls minimize losses without impairing customer experience, targeting saved losses, enhanced margins, and reduced user friction.
• Collaborate with go-to-market teams to showcase the technical and business benefits of risk controls to clients.
• Translate complex analytical findings into clear insights for leadership and non-technical stakeholders.
• Support partners by addressing and investigating their fraud-related concerns.

Qualifications

• Proficiency in SQL and Python with advanced practical experience.
• Minimum of three years developing automated fraud risk strategies including A/B testing, and deploying real-time and offline ML models.
• Experience designing, building, and maintaining fraud risk metrics and dashboards.
• Ability to navigate ambiguous problems and independently devise effective solutions.
• Strong autonomy with excellent prioritization skills.
• Bachelor's degree or higher in quantitative disciplines such as Statistics, Mathematics, Engineering, Computer Science, or related fields.

Preferred But Not Required

• Background working in high-growth fintech or financial services companies.
• Experience with customer-facing analytics or fraud issue triaging.
• Knowledge in identity risk, anti-money laundering (AML), payments fraud, or compliance analytics.
• Familiarity with AI-driven data analysis and data science tools.

Culture and Benefits at Rain

• Generous unlimited vacation policy with a minimum mandatory minimum of 10 days off annually.
• Flexible work environment supporting remote or office-based work, with stipends for home office setup.
• Comprehensive US-based health, dental, and vision insurance plans including full company-paid life insurance.
• 401(k) retirement savings plan with a 4% company matching contribution.
• Equity options available to all employees to share in company growth.
• Access to 'Rain Cards' used internally to gain product familiarity through hands-on testing.
• Health and wellness allowances supporting activities like gym memberships, massages, acupuncture, and more.
• Regular team and company retreats both domestically and internationally to foster team bonds and shared vision.

Compensation

Salary range: $50,000 to $999,999.