4 часа назад
Finance Data Lead (Fintech)
210 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Finance Data Lead (Fintech): Building trusted financial data workflows, models, dashboards, and reporting infrastructure for funding, spend management, and savings products with an accent on SQL, financial modeling, data integrity, and executive reporting. Focus on transforming raw financial data, partnering with Engineering and Data teams on governance, and supporting investor, lender, and board-level materials.
Location: San Francisco, CA, United States; hybrid
Salary: $210,000–$250,000 per year, plus equity grant
Company
builds embedded financial tools that help small businesses access funding, spend management, and savings products through the platforms they already use.
What you will do
- Own financial data workflows from sourcing and transforming raw data through clean, auditable outputs in Excel and BI tools.
- Build and maintain financial models and dashboards covering origination volumes, revenue run rates, and portfolio performance.
- Respond to ad hoc data requests from Finance, Product, and GTM with accurate analysis and clear documentation.
- Use AI tools such as Claude, ChatGPT, and Copilot to accelerate analysis and automate repetitive work.
- Partner with Engineering and Data teams to improve financial data structure, accessibility, and governance.
- Support external reporting for investors, lenders, and board-level stakeholders while maintaining reconciliation logic and audit trails.
Requirements
- 4–7 years of experience in a data-heavy role, such as data analyst, analytics engineer, or technically strong financial analyst.
- Expert-level Excel and Google Sheets skills, including complex models, dynamic arrays, and pivot tables.
- Strong SQL skills, including independently writing and optimizing queries against large datasets.
- Hands-on experience with modern AI tools and an interest in applying them to financial workflows.
- Fluency in corporate finance concepts such as EBITDA, working capital, and structured finance, with discretion when handling sensitive financial data.
- Strong verbal communication skills and the ability to translate complex datasets into clear narratives.
Nice to have
- Experience in fintech, lending, or structured finance, including loan tapes, origination data, or SPV structures.
- Proficiency in Python or R for data manipulation and automation.
- Experience with BI tools such as Looker, Tableau, or Mode.
- Exposure to dbt, Airflow, or similar data pipeline tooling.
Culture & Benefits
- High-impact, high-visibility work presented in executive and investor materials.
- Opportunity to influence data infrastructure decisions and define processes and tooling within the Finance team.
- Collaborative environment emphasizing rigor, speed, and intellectual curiosity.
- Medical, dental, and vision insurance, unlimited PTO, paid parental leave, and a 401(k).
- Work-from-home flexibility, commuter benefits, free lunches, and an employee assistance program.
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