Data Scientist, Equity Research
RemoteIndia
Job Summary
Design, build, and maintain quantitative models and machine learning pipelines supporting equity research, stock screening, and investment analytics. Partner with analysts to translate valuation, financial statement analysis, and earnings quality methodologies into scalable, data-driven models. Source, clean, and engineer features from structured and unstructured financial data, including fundamentals, market data, earnings transcripts, and alternative datasets. Develop and validate predictive models such as earnings forecasts, factor models, and risk scoring while communicating results to technical and non-technical stakeholders. Build automated workflows for ongoing model refresh and monitoring, and collaborate with software engineering teams to productionize models within CFRA's research applications. Perform exploratory data analysis to identify new signals, themes, or anomalies, and document methodologies to institutional research standards.
Required Qualifications
- Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Financial Engineering, Economics, or related discipline
- 3+ years of experience as a data scientist, quantitative analyst, or similar role, ideally within financial services, asset management, or equity research
- CFA charter, or active progress through the CFA Program (Level II/III candidates strongly considered), with practical experience in equity research, valuation, or investment analysis
- Strong proficiency in Python for data science (pandas, NumPy, scikit-learn; exposure to PyTorch/TensorFlow a plus)
- Solid grounding in statistics and machine learning techniques: regression, classification, time-series analysis, and factor/risk modeling
- Proficient in SQL and working with large financial datasets from relational databases and data warehouses
- Experience with financial statement analysis, equity valuation methods (DCF, comparables, precedent transactions), and market data sources (e.g., Capital IQ, FactSet, Bloomberg)
- Experience with NLP techniques applied to financial text (earnings call transcripts, filings, news)
- Familiarity with cloud platforms (AWS preferred) and version control (Git)
- Excellent analytical, written, and verbal communication skills, with the ability to explain complex quantitative concepts to research and business stakeholders
- Strong attention to detail and a rigorous, hypothesis-driven approach to analysis
- Ability to manage multiple projects and deadlines in a fast-paced research environment
Desired Qualifications
- Prior experience at a sell-side or buy-side research firm, credit rating agency, or independent research provider
- Exposure to alternative data sources (satellite, web-scraped, transaction data) for investment research
- Familiarity with backtesting frameworks and portfolio construction concepts
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