Data Engineer

Intercontinental Exchange Holdings, Inc.; City of Niagara Falls (NY); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) plan

Job summary

Intercontinental Exchange, Inc. is seeking a Data Engineer to join the Derivatives Market Data team in New York. You will monitor, manage, and enhance equity and commodity derivatives market data, collaborating with Sales and Quants to deliver accurate valuation datasets and insights.

The role emphasizes data quality, automated monitoring, and cross-functional communication to support intraday decision-making for clients globally.

Qualifications

• Bachelor’s or Master’s in a quantitative field; financial engineering or math preferred.
• 3+ years of working with financial market data and data management.
• Advanced SQL and Python; AI/ML knowledge is a plus.
• Experience with data products and valuation services.

Responsibilities

• Identify data anomalies and remediate to improve data quality and reliability.
• Calibrate, maintain, and enhance model parameters for high-quality outputs.
• Design and implement automated monitoring and alerting for data integrity.
• Process large volumes of historical and real-time implied market data.
• Analyze derivatives markets to support pricing and portfolio valuation inquiries.
• Collaborate with Sales, Product Specialists, and Market Data teams to resolve client issues.
• Stay informed on industry trends and emerging technologies in equity and derivatives.
• Communicate effectively with Quants and Business Partners to translate requirements.

Skills

SQL

Python

AI/ML

Education

Bachelor's or Master’s degree in Financial Engineering/ Mathematics / Computer Science

Job description

Overview

Job Purpose

ICE Data Services, a part of Intercontinental Exchange, is seeking a Data Engineer to join our Derivatives Market Data team. This group supports critical processes across front, middle, and back offices globally, delivering cross-asset analytical solutions, market data, and valuation capabilities. The team enables intraday, real-time decision-making for financial organizations by connecting strategic objectives with actionable insights for our clients.

The successful candidate will be responsible for monitoring, managing, and enhancing equity and commodity derivatives market data. This 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 closely with Sales, Product Specialists, Account Management and Market Data colleagues across global regions to ensure responsive, high-quality service to existing and prospective clients.

Responsibilities

• Identify data anomalies and implement appropriate 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.
• Apply programming skills and financial markets experience to clean and manage large volume of historical and real-time implied market data.
• Perform in-depth analysis of derivatives markets and leverage 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 of industry developments, market trends, and emerging technologies across equity and commodity derivatives markets.
• Communicate clearly in both writing and verbally: elevate issues and client requirements to Quants, and translate technical processes and solutions for Business Partners and Sales stakeholders.

Knowledge And Experience

• Bachelor's or Master’s degree required, preferably in Financial Engineering, Mathematics, Statistics, Computer Science, or a related quantitative discipline.
• 3+ years of working with financial market data and data management. Experience with equity and commodity derivatives is a plus.
• Experience working with data products, valuation services, and financial data platforms.
• Strong analytical, quantitative, and problem-solving skills with the ability to investigate and resolve complex data issues.
• Advanced proficiency in SQL and Python preferred.
• Experience with artificial intelligence and machine learning is a plus.
• Ability to multitask, prioritize, and work with tight deadlines.
• Ability to collaborate with internal teams to facilitate data management processes and solutions.
• Strong organizational skills with acute attention to details.

New York Base SalaryRange

The expected base salary for this role, if located in New York, is between $80,000 - 120,000 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.