Top Data & Analytics Jobs

Owns financial data quality products end to end, including dimensional modeling, ETL pipelines, discrepancy detection, alerting, observability, and application services. Investigates data anomalies, develops durable checks, validates AI-generated work, and communicates findings to Finance, Accounting, Treasury, Compliance, and Customer Success stakeholders. Requires strong data engineering, analytics, software development, and AI-agent workflow expertise.

Lead product analytics for new financial product initiatives: build business models, segment customers, create datamarts and dashboards, ensure data quality, design experiments, and surface insights using AI-enabled tooling to guide product decisions.

Lead and mentor a team of analysts to deliver fraud, scams, and promo-abuse insights. Own metrics, run experiments, perform SQL-heavy analyses and modeling, translate findings into cross-functional recommendations, and leverage AI tools to scale fraud analytics.

Analyze customer behavior across the product lifecycle, define and prioritize product improvements, run and interpret A/B tests, build dashboards and segmentation, own roadmap slices end-to-end, and use AI-first tools and predictive models to drive product and marketing insights.

Analyze Remitly fraud data to detect and mitigate fraud. Build models, dashboards, and risk metrics; normalize data from multiple systems; run A/B tests; partner with Product, Engineering, Compliance, and Business to improve KYC/KYB and fraud workflows; provide actionable insights to reduce false positives and operational risk.