Data Scientist - Fraud Risk

About Rain

Rain is a dynamic company enabling the future of payments worldwide. Our team consists of passionate innovators and experienced founders who build infrastructure making stablecoins practically usable through card transactions, cross-border payments, B2B purchases, remittances, and more. We collaborate with fintechs, neobanks, and institutions to launch global, inclusive, and efficient financial solutions. Backed by leading investors in fintech, crypto, and SaaS, we offer opportunities to shape a borderless financial future.

Company Culture

We maintain an open, flat organizational structure that empowers employees at every level to grow in alignment with their aspirations. Team members have the autonomy to explore ideas and help shape our company's roadmap and vision.

Fraud Risk Management Team

Our fraud risk management group devises advanced, scalable solutions that safeguard customers while ensuring a seamless experience. This team oversees transaction and lifecycle event monitoring, develops alerts for rapid fraud detection and response, and builds machine learning-powered risk rules and strategies. As a core business pillar, the team supports new product launches and addresses novel fraud vectors in next-generation payment technologies through comprehensive, data-driven fraud management.

Key Responsibilities

• Manage and own metrics, dashboards, and reports that guide business strategies and decisions.
• Develop and deploy real-time monitoring systems for identifying fraud signals and setting alerting thresholds.
• Design, simulate, and implement real-time risk controls leveraging both real-time and offline predictive machine learning models.
• Optimize risk controls balancing loss prevention, user friction reduction, and margin enhancement.
• Collaborate with go-to-market teams to showcase the technical and commercial benefits of fraud risk controls.
• Communicate complex analytical insights effectively to leadership and non-technical stakeholders.
• Support partners in investigating and addressing fraud concerns impacting their traffic.

Candidate Requirements

• Proficient in SQL and Python with advanced skills.
• Minimum of 3 years of experience in automated fraud risk strategy development, including A/B testing and implementation of real-time and offline predictive ML models.
• Experience designing, constructing, and maintaining dashboards and metrics related to fraud risk.
• Capable of navigating ambiguous challenges and developing effective solutions.
• Ability to work autonomously and prioritize tasks efficiently.
• Possession of a relevant quantitative bachelor's or higher degree, such as Statistics, Mathematics, Engineering, or Computer Science.

Preferred Qualifications (Not Mandatory)

• Previous experience in high-growth fintech or financial services companies.
• Familiarity with customer-facing or go-to-market analytics and fraud issue triaging.
• Background in areas such as identity risk, anti-money laundering, payments fraud, or compliance analytics.
• Experience with AI-assisted data analysis and data science tools.

Work Environment and Benefits

• Unlimited vacation policy with a requirement to take at least 10 days off for a balanced lifestyle.
• Flexible work arrangements allowing remote or office work, supported by a stipend for creating a productive home office.
• Comprehensive health, dental, vision insurance plans for employees and dependents, plus fully company-funded life insurance.
• 401(k) retirement plan featuring a 4% company match.
• Equity option plan for all employees to share in company success.
• Access to Rain Cards to familiarize employees with company products for testing purposes.
• Health and wellness spending coverage for activities like gym memberships, massages, or acupuncture.
• Company and team summits including domestic and international off-site gatherings to foster connections and teamwork.

Compensation

The salary range for this position is $50,000 to $999,999 annually.