R

Rain

Employer-provided on-demand earned wage access

Financial Crimes Risk Senior Data Analyst/Data Scientist

Financial Crime & AMLConfirmed live in the last 24 hours
Full-timeWashington, DC, USA

About the Job

Requirements

  • 4–7+ years of experience in financial crimes analytics, compliance technology, fraud/risk analytics, or related roles within fintech, banking, payments, or digital assets.
  • Advanced SQL and strong Python skills, including experience analyzing large transaction datasets, automating workflows, and building reusable compliance tooling.
  • Hands-on experience tuning transaction monitoring rules, including thresholds, lookback periods, segmentation, exclusions, and behavioral indicators.
  • Experience managing and optimizing financial crime vendor settings, including screening thresholds, matching logic, risk parameters, rulesets, and workflows.
  • Experience testing and auditing transaction monitoring, KYC/KYB, sanctions, or screening controls through backtesting, regression testing, quality assurance, and control effectiveness reviews.
  • Ability to evaluate monitoring performance using alert volumes, false-positive rates, escalation outcomes, precision/recall, and detection coverage.
  • Strong understanding of anti-money laundering and Bank Secrecy Act requirements, transaction monitoring, sanctions, KYC/KYB, and the ability to independently translate risk requirements into scalable technical controls.
  • Hands-on experience with blockchain intelligence tools such as Chainalysis, TRM Labs, Elliptic, or similar platforms.

Responsibilities

  • Assist with tuning and optimizing transaction monitoring rules across card, ACH, wire, digital, and asset activity.
  • Analyze alert, case, and transaction data to identify false positives, coverage gaps, and opportunities to improve detection quality.
  • Assist with managing and optimizing financial crime vendor configurations, including thresholds, matching logic, rulesets, risk settings, and workflows.
  • Support testing, backtesting, regression testing, and audits to ensure monitoring and screening controls operate as intended.
  • Translate investigative findings, emerging typologies, and regulatory requirements into scalable monitoring logic and technical controls.
  • Assist with developing internal compliance tools, workflows, dashboards, and automations that improve Financial Intelligence Unit and Compliance operations.
  • Partner with Investigations, Compliance, Engineering, and vendors to implement, validate, document, and continuously improve financial crime controls.

Desired Qualifications

  • Experience developing or deploying machine learning models for fraud, anti-money laundering, transaction monitoring, anomaly detection, or customer risk.
  • Experience with graph analytics, network analysis, entity resolution, or behavioral modeling across transaction and customer datasets.
  • Experience building production-grade Python services, analytical pipelines, or detection frameworks beyond notebook-based analysis.
  • Familiarity with feature engineering, model evaluation, threshold optimization, precision/recall analysis, and model monitoring.
  • Experience working with large-scale data platforms and distributed processing frameworks such as BigQuery, Snowflake, Spark, or similar.
  • On-chain analytics, blockchain tracing, wallet clustering, or combining digital asset and traditional payments data for financial crime detection.
  • Experience translating investigative findings or emerging typologies into scalable detection logic, models, or automated controls.

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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