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Known brand, metro location, and mid-level experience create moderate applicant competition.
Strong finance and index-specific domain requirements reduce cross-industry transferability.
Mandatory 4+ years, index/asset-management experience, and coding skills create strict shortlisting.
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Lead the end-to-end development and launch of new index products including benchmark, thematic, factor, strategic beta, and multi-asset indexes.
Drive product innovation by identifying opportunities, conducting data analysis, back-testing, methodology development, and addressing implementation challenges.
Leverage quantitative methods, AI tools, and coding to automate research, enhance product development speed, and create client-ready insights and tools.
Minimum 4 years of experience in indexes, asset management, investment banking, fintech, systematic investing, quantitative research, or related investment technology.
Proficiency in quantitative techniques including investment analysis, factor research, portfolio construction, back-testing, risk analytics, or systematic strategy design.
Programming skills in Python, R, SQL, MATLAB, or similar for data analysis and workflow automation.
Experience using AI tools such as Microsoft Copilot, GitHub Copilot, Claude Code, Gemini, ChatGPT, or similar platforms; exposure to AI agents, RAG, or workflow orchestration is a plus.
Strategic thinker comfortable operating at the intersection of quant research, AI, and product development in capital markets.
Hands-on builder who can quickly prototype and scale innovative index solutions while managing cross-functional collaboration.
Clear communicator capable of translating complex quant and AI concepts into accessible methodology documents and client presentations.