Top Tech Jobs & Startup Jobs in NYC, NY

Lead US FP&A and regulatory finance for a high-growth payments company. Own budgeting, forecasting, financial modeling, cost-center reporting, audited financial statements, SOX-level controls, state regulatory filings, licensing examinations, and regulator relationships. Partner with executives and cross-functional teams to translate financial data into strategic insights, improve cost efficiency, strengthen compliance, and scale the US finance function.

Senior Product Manager responsible for FinCrime product strategy and delivery across fraud prevention, scams, payment risk, vendor integrations, and cryptocurrency-related products. Owns the full product lifecycle, global feature rollouts, stakeholder management, metrics, regulatory alignment, and customer experience. The role requires hands-on experience with fraud analytics, risk and financial modeling, machine learning, AI tools, APIs, payment systems, and financial-services compliance.

Develop marketing effectiveness analytics using Marketing Mix Modeling, attribution, customer lifetime value, experimentation, and causal inference. Build automated, scalable model pipelines, insight-ready datasets, and self-serve dashboards. Analyze campaigns, support marketing strategy, communicate findings to executives, and lead high-impact projects independently while collaborating cross-functionally.

Own the FinCrime product strategy and delivery across Zepz’s remittance brands, focusing on AML, PEP, sanctions, customer verification, transaction monitoring, AI, and crypto initiatives. Manage stakeholders across 50 countries, vendors, integrations, regulatory deadlines, global feature rollouts, product metrics, and end-to-end digital product development. Collaborate with compliance, engineering, design, and senior leadership to deliver scalable, compliant customer experiences.

Leads Zepz’s global financial crime product strategy across AML, sanctions, fraud controls, and typology analysis. Owns the roadmap, OKRs, KPIs, regulatory outcomes, vendor partnerships, and budget planning while reducing false positives and customer friction. Partners with Engineering, Product, Compliance, and Customer Operations, engages regulators, evaluates AI/ML solutions, and leads transformation and control-maturity initiatives. Coaches senior managers while contributing hands-on as a player-coach.

Leads a 25+ person organization of data scientists, machine learning engineers, and analytics engineers across Identity and Financial Crime. Owns data quality, governance, lineage, domain data products, fraud and financial crime models, production performance, monitoring, and retraining. Partners with engineering, central data, risk, compliance, and legal teams, influences upstream data producers, manages incidents, and builds high-performing teams while driving strategy reported to executives and the board.