Top Tech Jobs & Startup Jobs in NYC, NY

Own AML compliance frameworks, taxonomies, and regulatory intelligence supporting Socure’s platform. Partner with Engineering, Data Science, Product, Sales, and Customer Success to translate OFAC, FATF, FinCEN, and global requirements into product strategy, customer guidance, and scalable advisory services. Support enterprise compliance due diligence, audits, regulatory inquiries, and customer program design while developing automation to reduce operational burden.

Analyze large customer datasets, evaluate machine-learning models, develop risk and fraud insights, and communicate data-driven recommendations to technical and nontechnical audiences. The role partners with sales and account teams throughout pre- and post-sales, creates automated analytical workflows, supports product optimization and upsell opportunities, and may build exploratory ML models. It also contributes thought leadership on identity verification, fraud prevention, model performance, and customer risk management.

Design, develop, deploy, and monitor advanced deep learning models for fraud detection, risk management, and identity verification. Lead machine learning initiatives, research novel algorithms, manage end-to-end model lifecycles, collaborate with Product, Engineering, and Risk teams, and communicate insights to technical and executive stakeholders. Mentor data scientists and drive high-impact delivery, data quality, experimentation, and continuous improvement.

Own the strategy and roadmap for Socure’s Watchlist Screening and Monitoring product. Drive improvements in sanctions and AML screening accuracy, data coverage, scalability, reliability, and machine learning capabilities. Partner with Engineering, Data Science, Compliance Operations, Sales, Customer Success, and go-to-market teams. Analyze product metrics using SQL, translate regulatory and customer needs into priorities, support enterprise customers, and represent the product externally.

Drive organization-wide adoption of AI development standards, tools, and workflows across engineering. Build feedback loops, enablement content, prompt libraries, playbooks, training assets, and adoption dashboards. Partner with engineering leaders to improve AI practices, support onboarding and office hours, measure productivity and quality impact, and communicate progress through technical narratives and success stories.

Develop machine learning, statistical, graph-based, and entity-resolution algorithms for large-scale identity verification and deceased monitoring. Build Spark/PySpark and AWS data pipelines, engineer features, analyze data quality, conduct experiments, and support model evaluation. Write Python/R and SQL for extraction and validation, investigate compliance data, create dashboards, and communicate findings to cross-functional teams.

Serve as the primary technical pre-sales lead for gaming and sportsbook clients: run discovery, design identity and fraud workflows, lead POCs/backtests, build demos, and translate model and integration details for executive stakeholders. Collaborate with Sales, Data Science, Product, Engineering, and Customer Success to accelerate deals and ensure smooth handoffs to post-sales teams.

As a Senior Backend Engineer at Socure, you'll develop scalable backend services for identity verification, optimize system performance, and collaborate with cross-functional teams on document processing integrations.

Lead the Data Science function to innovate AI-powered identity and compliance solutions, managing a high-performing team and developing advanced ML systems.

Lead product vision, roadmap, and go-to-market for workforce identity and fraud solutions. Ship zero-to-one products, integrate signals across Socure platforms, run the business (metrics, pricing, partnerships), drive GTM and ecosystem integrations, use data and ML to iterate, and mentor cross-functional teams to deliver end-to-end workforce verification and fraud prevention.