Fintech Analyst
Sullivan & Cromwell LLP · New York, United States · 1 wk ago
Business Development$90k–$120k/yrFull-time
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Develop and maintain financial models and analytical frameworks using statistical techniques such as regression, time-series forecasting, classification and clustering to improve forecasting accuracy and strategic decision making.
- Extract, transform, and analyze large, complex datasets using SQL and modern analytics tools (e.g., Python/R), ensuring data integrity, reconciliation, and alignment with accounting balancing controls.
- Support and enhance financial systems and reporting platforms, including SaaS-based and cloud analytics environments (e.g., Oracle, AWS, Azure), while contributing to processes, data pipelines and monthly reporting distribution.
- Identify opportunities to improve efficiency through automation, improved data pipelines and system enhancements.
- Collaborate cross-functionally with finance leadership and internal stakeholders to deliver accurate, well-documented analytical insights. This includes communicating complex analytical concepts to non-technical stakeholders.
Qualifications
- Experience drafting models in Excel required.
- Experience with cloud-based analytics environments (e.g. Oracle, AWS, Azure) is a plus.
- Familiarity with data visualization and BI tools (e.g. Tableau, Power BI, Dodeca, or similar) is a plus.
- Experience working in, supporting, or analyzing SaaS-based platforms is a plus (Oracle preferred).
- Solid understanding of financial business and fintech use cases such as Client Matter Profitability, financial modeling and data mining analysis, and legal compensation/bonus forecasting.
- Experience applying analytics to partnership/committee behavior, transaction data, revenue optimization, and risk management.
- Strong writing and ability to communicate complex analytical concepts to non-technical stakeholders.
Education and Experience
- Bachelor’s degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or a related field.
- Advanced degree (MS in Analytics/Data Science/Finance) is a plus.
- 3–5+ years of experience in fintech, financial services, legal services, technology, or data-driven analytical roles.