Lead point-in-time (PIT) data infrastructure design and maintenance for fundamentals and estimates datasets, ensuring backtest-secure, 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 (Bengaluru)
🏢 Acuity Analytics
📍 Bengaluru