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The Fincrime Analyst is responsible for managing transaction monitoring alerts, conducting due diligence, preparing case documentation, and collaborating across teams to maintain compliance and mitigate fraud risks.

The Data Analyst will lead data architecture designs, develop AI workflows, create visualization tools, enhance decision-making, and collaborate with stakeholders.

As a Backend Software Engineer, you'll design, build, and scale mission-critical consumer features while collaborating cross-functionally. Responsibilities include improving payment mechanics and ensuring system reliability.

Own bank and product reconciliations across 30+ accounts and 5 legal entities, post treasury journal entries in SAP, resolve discrepancies, support month-/year-end closings and audits, document and improve reconciliation processes, and contribute to controls and ERP configuration to reduce manual effort.

Own and execute end-to-end vendor payments using ERP and banking platforms, resolve payment exceptions and unmatched invoices, maintain and improve payment workflows, document processes, and coordinate with Accounting, Procurement, Controlling and Treasury to ensure accurate, timely payments and audit readiness.

Design and build scalable backend systems for digital payments. Own feature lifecycle from intake to production, perform technical analysis, implement robust solutions, ensure quality and incident resolution, document work, and mentor peers while aligning service-level technical vision with the roadmap.

Lead finance analytics within Growth & Marketing: build P&L and cash‑flow models, investor reporting, dashboards, ETL/data models, unit-economics analyses, and AI-assisted workflows. Partner with Finance, Product, Marketing and senior leadership to translate financial data into actionable insights and scalable self-service assets.

Lead product launches and go-to-market strategies to drive B2B user acquisition and retention. Coordinate cross-functional teams (Product, CRM, RevOps, Performance, Creative), plan acquisition channels, run retention campaigns with CRM, measure program effectiveness, and iterate for continuous improvement.

Lead design and evolution of a Lakehouse data platform integrating Redshift, serverless analytics, and streaming. Own dbt, CI/CD, Airflow orchestration, feature store and ML pipelines. Build ingestion (Fivetran/custom Python), streaming transformations, observability, security/compliance, and mentor junior engineers.

Support growth and adoption of the Welfare product by managing sales collateral, assisting employer acquisition channels, contributing to brand activations, coordinating B2B events, and rebuilding the Product Enthusiast advocacy program with tracking and automation.