R

Rain

Employer-provided on-demand earned wage access

Data Scientist - Fraud Risk

Data ScienceConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • Advanced proficiency in SQL and Python.
  • At least 3 years of hands-on experience working on automated fraud-risk strategies and experimentation, including A/B tests and implementation of real-time and offline predictive machine-learning models.
  • Experience designing, building, and maintaining dashboards and fraud-risk metrics.
  • Ability to manage ambiguous problems and find solutions.
  • Ability to prioritize workload effectively and work autonomously.
  • A relevant quantitative bachelor's degree or higher, such as Statistics, Mathematics, Engineering, or Computer Science.

Responsibilities

  • Own the metrics, dashboards, and reports that inform business strategy and decision-making.
  • Design and implement real-time monitoring systems for fraud signals and alerting thresholds.
  • Design, simulate, and implement real-time risk controls using real-time and offline predictive machine-learning models.
  • Balance risk controls with customer experience by focusing on loss savings, reduced user friction, and margin improvement.
  • Partner with go-to-market teams to demonstrate the technical and business value of risk controls to customers.
  • Summarize complex analytical results for leadership and non-technical stakeholders.
  • Assist partners with concerns about fraud in their traffic.

Desired Qualifications

  • Experience at a high-growth fintech or financial services company.
  • Exposure to customer-facing or go-to-market-facing analytics or fraud issue triaging.
  • Background in identity risk, anti-money laundering, payments fraud, or compliance analytics.
  • Fluency in artificial-intelligence-assisted data analysis or data science tooling.

About the Company

Rain

Employer-provided on-demand earned wage access

Rain provides an Earned Wage Access (EWA) platform that lets employees access part of their earned income before payday. It integrates with employers’ payroll and timekeeping systems (such as Workday and Netchex) to track gross earnings in real time, and employees use a mobile app to view available earnings and request a transfer to their bank account for a small, ATM-like fee. Revenue comes mainly from these transaction fees. Beyond EWA, Rain offers financial wellness tools in its app, including spending analytics, balance alerts, and access to financial coaching and education. The company aims to reduce financial stress for workers, help employers improve retention and productivity, and serve a broad range of clients from small businesses to large enterprises. Its differentiators include seamless payroll integration, real-time earnings tracking, and a bundled suite of financial wellness features.

Company size
201-500
Company stage
Series B
Total funding
$120.2M
Headquarters
Manama, Bahrain
Founded
2021

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