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San Francisco, California, United States
Hybrid
About Us:
At Parafin, we’re on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.
We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
We're looking for a Finance Data Lead to sit at the intersection of finance and data engineering on our Finance team. This role requires someone who thinks in queries, models data pipelines, and moves quickly with modern tooling, while also being comfortable discussing a P&L or loan portfolio with senior leadership.
You'll be the go-to person for turning raw financial data into clean, trusted, and actionable outputs — owning everything from ad hoc analyses to scalable reporting infrastructure.
Own financial data workflows end-to-end — from sourcing and transforming raw data (SQL, Python, etc.) to building clean, auditable outputs in Excel or BI tools
Build and maintain financial models and dashboards that track key metrics such as origination volumes, revenue run rates, and portfolio performance
Respond to ad hoc data requests from Finance, Product, and GTM — quickly, accurately, and with clear documentation
Leverage AI tools (e.g., Claude, ChatGPT, Copilot) to accelerate analysis, automate repetitive tasks, and surface insights faster
Partner with Engineering and Data teams to ensure financial data is correctly structured, accessible, and well-governed
Maintain data integrity standards — building in checks, reconciliation logic, and clear audit trails across all financial outputs
Support external reporting needs, including materials for investors, lenders, and board-level stakeholders
4–7 years of experience in a data-heavy role (data analyst, analytics engineer, financial analyst with strong technical depth, etc.)
Expert-level Excel/Google Sheets skills (complex models, dynamic arrays, pivot tables)
Strong SQL skills — you can write and optimize queries against large datasets independently
Hands-on experience with modern AI tools and a genuine curiosity about how to apply them to financial workflows
Baseline fluency in corporate finance concepts such as EBITDA, working capital, and structured finance
High degree of trust and discretion — you'll have access to sensitive financial data and are expected to handle it responsibly
Strong verbal communication skills — you can translate complex datasets into clear, concise narratives
Experience in fintech, lending, or structured finance (familiarity with loan tapes, origination data, or SPV structures is a plus)
Proficiency in Python or R for data manipulation and automation
Experience with a BI tool (Looker, Tableau, Mode, etc.)
Exposure to DBT, Airflow, or similar data pipeline tooling
High-impact, high-visibility work — your outputs are presented in executive and investor materials
A seat at the table for data infrastructure decisions within the Finance team
Opportunity to define processes and tooling in a fast-moving environment
Collaborative team that values rigor, speed, and intellectual curiosity
Salary Range: $210k–$250k
Equity grant
Medical, dental, and vision insurance
Unlimited PTO
Work-from-home flexibility
Commuter benefits
Free lunches
Paid parental leave
401(k)
Employee assistance program
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.
