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A leading global exchange operator in London is seeking a Senior Index Developer to drive equity and commodity index development. This role combines technical expertise and commercial insight to design innovative index solutions while collaborating with clients and teams. Ideal candidates will have strong Python programming skills, a solid understanding of equity index construction, and extensive experience in quantitative analysis. The position offers a dynamic work environment with ongoing opportunities for professional growth.
Job Description
Job Purpose
This position is a senior role within ICE Data Indices (IDI) in London, focused on equity and commodity index development. The successful candidate will combine technical expertise, quantitative skills, and commercial acumen to design innovative index solutions and drive business growth. This is a highly proactive role requiring close collaboration with clients, sales, and business development teams to identify opportunities, customize indices, and deliver tailored solutions.
You will engage directly with institutional clients to understand investment objectives, translate them into index methodologies, and oversee implementation with quant and development teams. The role demands strong Python programming skills, advanced data analytics capabilities, and deep knowledge of equity index construction methodologies, including market-cap weighting, factor-based strategies, ESG integration, and thematic approaches. Commodity index experience is also essential.
Responsibilities
Client Engagement & Business Development
Partner with sales and business development teams to identify client needs and market opportunities
Engage directly with asset managers, ETF providers, and institutional investors to design custom equity and commodity indices
Present index concepts, performance analytics, and methodology details to clients and stakeholders
Index Design & Implementation
Develop new index methodologies for equity indices (e.g., market-cap, equal-weight, factor-based, ESG, thematic) and commodity benchmarks
Collaborate with quant and development teams to implement and deploy indices into production
Ensure methodologies align with regulatory and industry standards
Quantitative Analysis & Validation
Perform rigorous quantitative analysis using Python, including back-testing, risk/return analytics, and scenario modeling
Validate index calculations and ensure methodology rules are correctly applied
Analyze performance attribution and sensitivity at both index and constituent levels
Platform & Process Optimization
Utilize the ICE Index Platform for index construction, profiling, and customization
Identify workflow efficiencies and implement process improvements to enhance accuracy and scalability
Research & Innovation
Conduct ad hoc research on equity market trends, factor performance, and commodity pricing
Stay ahead of developments in smart beta, ESG, and thematic index design
Knowledge and Experience
Undergraduate degree in Math, Finance, Engineering, Physics, or Technology; advanced degree a plus
Strong proficiency in Python for quantitative analysis, data manipulation, and back-testing
Advanced Excel skills; familiarity with SQL is a plus
Professional certifications such as CFA/CIPM are advantageous
Deep understanding of equity index construction methodologies, including:
Market-cap and equal-weight approaches>
Factor-based and smart beta strategies
ESG and thematic index design
Corporate actions and rebalancing processes
Familiarity with commodity index methodologies and futures-based benchmarks
Excellent communication skills for client-facing interactions and presentations
Ability to manage multiple projects under tight deadlines in a fast-paced environment
Commercial mindset with eagerness to collaborate across product, sales, and technology teams