Overview

Job Purpose
This position is a senior role within ICE Data Indices (IDI) in New York (11 Wall Street), 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 opportunitiesEngage directly with asset managers, ETF providers, and institutional investors to design custom equity and commodity indicesPresent 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 benchmarksCollaborate 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 modelingValidate index calculations and ensure methodology rules are correctly appliedAnalyze performance attribution and sensitivity at both index and constituent levels

Platform & Process Optimization

Utilize the ICE Index Platform for index construction, profiling, and customizationIdentify 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 pricingStay 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 plusStrong proficiency in Python for quantitative analysis, data manipulation, and back-testingAdvanced Excel skills; familiarity with SQL is a plusProfessional certifications such as CFA/CIPM are advantageousDeep understanding of equity index construction methodologies, including: Market-cap and equal-weight approachesFactor-based and smart beta strategiesESG and thematic index designCorporate actions and rebalancing processesFamiliarity with commodity index methodologies and futures-based benchmarksExcellent communication skills for client-facing interactions and presentationsAbility to manage multiple projects under tight deadlines in a fast-paced environmentCommercial mindset with eagerness to collaborate across product, sales, and technology teams

New York Base Salary Range 

The expected base salary for this role, if located in New York, is between $125,000 – $205,000 USD.  The base salary range does not include Intercontinental Exchange’s incentive compensation.  While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances. 

Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.