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About the Role

This senior role in London focuses on equity and commodity index development within ICE Data Indices (IDI). The position requires a blend of technical expertise, quantitative skills, and commercial acumen to innovate index solutions and drive business growth. You will collaborate closely with clients, sales, and business development teams to identify opportunities, customize indices, and deliver tailored solutions, engaging directly with institutional clients to understand their investment objectives and oversee implementation.

Responsibilities

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.
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.
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.
Utilize the ICE Index Platform for index construction, profiling, and customization.
Identify workflow efficiencies and implement process improvements to enhance accuracy and scalability.
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.

Requirements

Undergraduate degree in Math, Finance, Engineering, Physics, or Technology.
Strong proficiency in Python for quantitative analysis, data manipulation, and back-testing.
Advanced Excel skills.
Familiarity with SQL is a plus.
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, and 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.

Skills

Python
Quantitative Analysis
Data Manipulation
Back-testing
Excel
SQL
Equity Index Construction
Commodity Index Methodologies
Client Engagement
Project Management

Location

London

Work Type

Full-time

Experience Level

Senior

Education Level

Undergraduate degree in Math, Finance, Engineering, Physics, or Technology
Advanced degree a plus
CFA/CIPM certifications advantageous

About the Company

ICE Data Indices (IDI) is a provider of equity and commodity index solutions.