Data Engineer

Intercontinental Exchange Holdings, Inc.•New York, NY

1d•$80,000 - $120,000

About The Position

ICE Data Services, part of Intercontinental Exchange, is seeking a Data Engineer to join its Derivatives Market Data team. The team supports critical front-, middle-, and back-office processes globally, delivering cross-asset analytical solutions, market data, and valuation capabilities that enable intraday, real-time decision-making for financial organizations. The Data Engineer will monitor, manage, and enhance equity and commodity derivatives market data. The role combines financial markets expertise, data engineering, and analytical problem-solving to ensure the accuracy, integrity, and reliability of complex datasets and valuation models. The individual will work with Sales, Product Specialists, Account Management, and Market Data colleagues across global regions to provide responsive, high-quality service to existing and prospective clients.

Requirements

Bachelor's or master's degree required, preferably in Financial Engineering, Mathematics, Statistics, Computer Science, or a related quantitative discipline.
At least 3 years of experience working with financial market data and data management.
Experience working with data products, valuation services, and financial data platforms.
Strong analytical, quantitative, and problem-solving skills, including the ability to investigate and resolve complex data issues.
Ability to multitask, prioritize, and work to tight deadlines.
Ability to collaborate with internal teams to facilitate data management processes and solutions.
Strong organizational skills and acute attention to detail.

Nice To Haves

Experience with equity and commodity derivatives.
Advanced proficiency in SQL and Python.
Experience with artificial intelligence and machine learning.

Responsibilities

Identify data anomalies and implement remediation actions to improve data quality, consistency, and reliability.
Calibrate, maintain, and enhance model parameters to sustain high-quality data outputs.
Design, develop, and implement automated monitoring and alerting solutions to preserve data integrity and operational efficiency.
Use programming skills and financial markets experience to clean and manage large volumes of historical and real-time implied market data.
Analyze derivatives markets and apply quantitative and technical expertise to support complex structured product pricing and portfolio valuation inquiries.
Collaborate with internal stakeholders to investigate client issues, deliver timely resolutions, and improve product quality.
Stay informed about industry developments, market trends, and emerging technologies across equity and commodity derivatives markets.
Communicate clearly in writing and verbally, escalating issues and client requirements to Quants and translating technical processes and solutions for Business Partners and Sales stakeholders.