Financial Data & Analytics Jobs
Explore careers in financial data, analytics, and quantitative research. Data scientist, quant analyst, ML engineer, and business intelligence roles at leading financial data providers.
Browse Financial Data & Analytics JobsFinancial Data and Analytics Careers
The financial data industry powers investment decisions, risk management, and regulatory compliance for institutions worldwide. Companies like Bloomberg, S&P Global, MSCI, FactSet, Refinitiv, and ICE provide the data infrastructure that modern finance depends on.
Careers in financial data and analytics combine quantitative skills with financial domain knowledge. Professionals in this space develop the models, algorithms, and data products that help investors, banks, and corporations make informed decisions.
Key Roles
Quantitative analysts build mathematical models for pricing, risk management, and trading strategies. Data scientists develop machine learning models for predictive analytics, NLP-powered research tools, and alternative data products. ML engineers productionize models and build scalable data pipelines.
Financial data analysts curate and validate market data, reference data, and alternative datasets. Business intelligence analysts create dashboards and reporting tools for internal and external stakeholders. Data engineers build the infrastructure that stores, processes, and delivers financial data at scale.
Skills in Demand
Technical skills in high demand include Python, R, SQL, TensorFlow, PyTorch, Spark, and cloud platforms. Understanding of financial markets, asset classes, and risk metrics provides essential domain context.
The CFA, FRM, and CQF certifications demonstrate quantitative and financial expertise. Advanced degrees in mathematics, statistics, computer science, or quantitative finance are preferred for research-oriented roles.
Financial Data & Analytics Salary Guide
Compensation ranges for common financial data & analytics roles. Figures represent base salary and may not include bonuses, equity, or carried interest.
| Role | Salary Range | Location |
|---|---|---|
| Financial Data Analyst | $70,000 - $110,000 | National |
| Quantitative Analyst | $120,000 - $285,000 | NYC |
| Data Scientist (Finance) | $115,000 - $200,000 | NYC / Remote |
| ML Engineer (Finance) | $140,000 - $250,000 | NYC / SF |
| BI Analyst | $75,000 - $120,000 | National |
Figures represent typical base compensation. Last updated: April 2026.
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Frequently Asked Questions
What does a quantitative analyst do?
Quantitative analysts develop mathematical models to price financial instruments, measure risk, and identify trading opportunities. They work at hedge funds, investment banks, asset managers, and financial technology companies, applying statistics, stochastic calculus, and machine learning to financial problems.
What skills do I need for financial data science?
Financial data scientists need strong programming skills (Python, R, SQL), expertise in statistical modeling and machine learning, and understanding of financial markets and instruments. Experience with time series analysis, NLP, and alternative data is increasingly valued.