Top Tech Jobs & Startup Jobs in NYC, NY

Contract Workforce Management analyst responsible for administering and optimizing Assembled, producing volume and staffing forecasts, building and refining agent schedules across channels, and monitoring/improving SLA performance both in real time and historically. Works independently with operations leadership to align schedules to demand and drive SLA improvements.

Join Current as a Software Engineer to build backend services in a microservices architecture, participate in system design, and deliver impactful features. Requires 2+ years of backend experience, preferably with Java.

The Director of AML/BSA Compliance oversees compliance programs, leads a team, manages regulatory requirements, and develops training for compliance strategies in a consumer fintech environment.

Lead and grow Analytics Engineering: define data warehouse and BI strategy, build and optimize ETL/ELT pipelines, design dimensional models in BigQuery using dbt and Airflow, own BI tooling (Looker), ensure data quality and governance, and mentor/manage a distributed analytics engineering team while partnering with stakeholders and platform engineers.

Design and build data warehouse architecture, dimensional models, data marts, and transformation pipelines (dbt, Airflow, BigQuery). Partner with analysts, data scientists, and engineers to enable reporting in Looker, ensure data quality and reconciliation, and support cross-functional analytics needs across business teams.

Lead and scale an embedded analytics organization; ensure consistent methodologies, experimentation, data modeling and reporting. Partner with department leads, mentor analytics managers, perform hands-on root-cause analyses, oversee experimental design and metrics, and drive executive-level data storytelling to influence strategy.

Lead design, development, and deployment of predictive ML models and anomaly detection. Perform extensive EDA, feature engineering, model evaluation, A/B testing, and customer segmentation. Build monitoring and governance for models, collaborate with Product/Engineering/Marketing, and ensure scalable data pipelines and model integration to drive member acquisition, retention, and product optimization.