Top Tech Jobs & Startup Jobs in NYC, NY

Lead and scale Brigit's IT Operations: manage day-to-day support, own IAM/SSO (Okta), maintain VPN and security tooling (SIEM, IDS/IPS, firewalls), drive audit readiness (SOC, PCI, SOX), improve incident response, document processes, and partner cross-functionally on security and compliance.

Own FP&A functions including strategic modeling, budgeting, forecasting, reporting, cash flow management, and unit economics. Partner cross-functionally to deliver insights to leadership, improve finance processes, automate work, and support hiring and mentorship of analysts.

Build and scale consumer finance web and mobile features end-to-end using React/React Native and Java services on Google Cloud. Improve performance, design GraphQL/REST APIs, optimize SQL schemas, integrate third-party services, implement risk and transaction algorithms, automate testing and CI/CD, and enhance internal tools to support millions of users.

Responsible for scaling the consumer finance platform, improving API performance, integrating with third-party APIs, and enhancing user experience for millions of users.

Design, build, validate, deploy, and monitor ML models (credit risk, fraud, transaction timing). Create training datasets, run A/B tests, analyze customer behavior, and collaborate with Engineering, Product, and Analytics to deliver end-to-end data science solutions.

Lead and own end-to-end ML modeling for underwriting, fraud, and payments: build, validate, deploy, monitor models; create training datasets; run A/B tests; analyze customer trends; establish feature and model best practices; and mentor junior data scientists while collaborating with Engineering, Product, and Business teams.

The Senior Analytics Engineer will manage the analytics layer, owning dbt projects, orchestrating data pipelines, defining metrics, and ensuring data quality while mentoring the data team.

Lead analytics for Brigit's Line of Credit product: define core metrics, forecast revenue and costs, design experiments, optimize underwriting and collections, evaluate and monitor predictive models, build dashboards, and deliver ad-hoc analyses to influence product, finance, and leadership decisions.

Lead and grow a data science team to build predictive models for credit risk and payments; mentor scientists; integrate DS work with product, engineering, and operations; run quarterly planning with stakeholders; drive adoption of AI-assisted and agentic workflows with validation and quality standards; and collaborate with modeling engineering to improve model research, development, and deployment infrastructure.

The Senior Data Analyst for Payments will analyze and optimize payment processes, collaborate with cross-functional teams, and ensure regulatory compliance to improve financial operations.