Data Research Specialist - Equity Strategy

Job Details

• Position Title: Data Research Specialist - Equity Strategy
• Experience Level: 5 - 8 Years
• Department: Investment Operations & Risk Services (IORS)
• Location: Bangalore
• Position reports to: Associate Director

Job Summary

Acuity Analytics is seeking a Data & Research Specialist to join our team on a long-term embedded engagement with a leading global investment bank's equity strategy research group. The role sits at the intersection of quantitative research, data infrastructure, and client relationship management, supporting factor-based research production for institutional clients.

Key Responsibilities

• Lead point-in-time (PIT) data infrastructure design and maintenance for fundamentals and estimates datasets, ensuring backtest-safe, 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

Key Competencies

• 5 to 7 years of experience in quantitative equity research, data analytics, or a related field within financial services
• Strong SQL skills; working proficiency in Python (pandas)
• Deep understanding of point-in-time data methodology, survivorship bias, and lookahead bias avoidance
• Familiarity with factor investing concepts (value, momentum, quality, etc.) and factor construction methodology
• Experience with large-scale securities/fundamentals datasets and cloud data warehouses, particularly Snowflake
• Strong SQL skills, with working proficiency in Python (pandas, polars); experience in transitioning workflows for data analysis and validation preferred
• MBA (Finance), CFA charter or progress toward CFA strongly preferred
• Excellent client communication skills - ability to explain data/methodology to both technical and non-technical stakeholders

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