Jobs at Brigit

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.

Lead Brigit's product organization across product management, design, and research. Own product vision, roadmaps, and outcomes (acquisition, conversion, engagement, monetization). Build and scale cross-functional teams, drive data-informed experimentation, and partner with engineering, data, and marketing to optimize product velocity and business metrics in a regulated consumer fintech environment.

As a Customer Care Associate, you will handle customer interactions through emails and live chat, escalate issues, and provide empathetic support.

The Lead Data Analyst will analyze user journeys, recommend product changes, develop dashboards, and drive strategic initiatives through data analysis and experimentation frameworks.

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.

Senior fullstack engineer to build and scale Brigit's consumer finance platform. Own end-to-end features across frontend (React/React Native/TypeScript) and backend (Java/REST/SQL), optimize database and APIs for high scale, integrate 3rd-party services, implement risk and transaction algorithms, improve CI/CD, testing, monitoring, and internal tooling to support millions of users.

Build and scale consumer-facing mobile and web applications and backend services. Own features end-to-end across frontend and backend, optimize databases and queries, integrate third-party APIs, implement algorithms for risk and transaction evaluation, improve reliability and CI/CD, and contribute to testing, monitoring, and internal tools to support customer operations.

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.

Build, test, deploy, and monitor ML models for credit risk, fraud detection, and transaction timing. Create training datasets, run experiments and A/B tests, analyze customer trends, and collaborate with Engineering, Product, and Business teams to deliver end-to-end data science solutions.

Lead development, deployment, and monitoring of underwriting, risk, fraud, and payments ML models. Own full modeling lifecycle, feature engineering, validation, A/B testing, cross-functional collaboration, and mentor junior data scientists.

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.

Support partner onboarding and operations for affiliate marketing: set up links/offers, coordinate CRM campaigns, maintain dashboards and workflows, reconcile partner revenue, and provide ad-hoc partner reporting and launch support.

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.

Lead and grow a data science team building predictive models for credit risk and payments. Drive integration with product and engineering, run quarterly planning, mentor scientists, adopt AI-assisted and agentic workflows, and collaborate on model infrastructure and deployment.

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 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.

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.

As a Lead Data Analyst, you'll optimize transaction costs and success rates in payments, analyze failure patterns, and collaborate with Data Science and Engineering to enhance payment strategies and model performance.