Quantitative Analyst (Index Creation)

Position Title Quantitative Analyst Experience Level 2 - 5 Years Department Investment Operations Risk Services (IORS) Location Bangalore Organizational relationships Position reports to Associate Director/ Assistant Director, IORS Job purpose Acuity Analytics is hiring a Quantitative Analyst to join its Quant/Index team. The role involves designing and building systematic indices and supporting Index operations involving computation, rebalancing, corporate actions adjustment etc. across various asset classes. You will work with large financial datasets, and collaborate with index methodology, structuring, and data engineering teams. are part of the process. Key responsibilities Design, calculate, and maintain systematic indices across equity, fixed income, commodities, and multi-asset strategies - Implement constituent selection rules, weighting schemes (market cap, equal weight, factor/smart beta, risk parity), and index divisor management Manage the full index lifecycle: periodic rebalancing, constituent reviews, methodology amendments, and publication of index levels. Active involvement in developing index methodology documentation - rules, governance frameworks, rebalancing schedules, and exception handling Provide ongoing quantitative support for live index-linked products: performance analysis, rebalancing transparency, and client QA Automate index workflows end-to-end - from raw data ingestion and cleansing to final index publication and distribution Design structured Excel models and web-based analytics tools for index performance monitoring, various dashboards, and client deliverables Work with large financial datasets: pricing, reference data, corporate actions, and alternative data sources Laise with technology teams to produce quant models and migrate manual processes to scalable, auditable systems Key competencies 2-6 years of experience in quantitative finance, index quant, financial data analytics, or a related quant role Deep understanding of index construction principles - weighting, rebalancing, divisor mechanics, and methodology governance Solid grasp of corporate actions and how they propagate through index and portfolio calculations Experience with major financial data vendors: Bloomberg, LSEG/Refinitiv, FactSet, or equivalent Advanced Excel modelling skills: multi-sheet workbooks, dynamic named ranges, structured financial calculations Strong analytical thinking, attention to detail, and good communication skills. Python skills would be added advantage. Bachelor's or master's degree in engineering / business administration / Statistics / Financial Engineering / CFA, or a related quantitative field Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.