- Lead point-in-time (PIT) data infrastructure design and maintenance for fundamentals and estimates datasets, ensuring backtest-protected, lookahead-free data for factor research
- Conduct quantitative factor research — factor construction, validation, and performance analysis — supporting the firm's published equity strategy research
- Support the quant/strategy team on equity stock selection models, including backtesting and evaluation of fundamental factor inputs
- Construct and maintain factor scores (value, growth, momentum) to identify most-favored and least-favored stocks within the coverage universe
- Own data quality control processes: build and maintain QC scripts/checks for large-scale securities data (fundamentals, estimates, pricing)
- Evaluate and select third-party data vendors (e.g., FactSet) for research use cases, assessing coverage, methodology, and fit
- Support production of client-facing research reports and notes, working closely with strategists
- Serve as a direct point of contact for institutional client data/research queries, both from internal teams publishing client-facing content and from external clients directly
- Lead and mentor a small team (1-2 members), overseeing delivery quality and workload prioritization
- Act as a bridge between the firm's strategy research team and engineering/technology teams, translating research requirements into data/infrastructure specifications
- Support the monthly production cycle, ensuring accuracy and timeliness of recurring deliverables. Serve as a point of contact for client interactions related to production and research queries
📌 Data Research Specialist - Equity Strategy (Bengaluru)
🏢 Acuity Analytics
📍 Bengaluru
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