Data Scientist Jobs in Finance

Browse data scientist positions in financial services. ML, NLP, and predictive analytics roles at banks, hedge funds, fintech companies, and financial data providers.

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Data Science in Financial Services

Data scientists in finance apply machine learning, natural language processing, and advanced analytics to problems ranging from fraud detection and credit scoring to market prediction and regulatory compliance. The role combines technical data science skills with understanding of financial products and markets.

Financial services data scientists work at investment banks, hedge funds, asset managers, insurance companies, fintech startups, and financial data providers. They develop models that process vast amounts of structured and unstructured data to generate actionable insights.

Compensation and Opportunities

Data scientists in finance earn competitive salaries of $115,000 to $200,000, with senior and staff-level scientists earning $200,000 to $300,000 at top firms. Compensation at hedge funds and proprietary trading firms can be significantly higher due to performance-based bonuses.

High-impact areas for financial data science include alternative data analysis, real-time fraud detection, customer lifetime value modeling, portfolio optimization, and NLP-powered document analysis for due diligence and compliance.

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