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Senior Financial Engineer

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Before you apply
LocationOFF USA: GA Atlanta (5680 New Northside Drive), United States
Typefull-time
SenioritySenior
Experience2+ yrs
Company size10,000+ people
First seenOct 17, 2026 · 2w ago
Verified live8h ago
At a glanceSummarised by Seekless from the posting.
Master's degree in Mathematics, Financial Engineering, Mathematical Finance, Computer Science or Finance
2+ years' experience in related field
Strong understanding of fixed income mathematics with exposure to equity, index, and derivative instruments
Excellent Quantitative Analytic Skills
Proficiency in SQL and experience with data analysis tools such as Python, R, or MATLAB
Excellent communication skills for articulating issues, clarifying requirements, and presenting findings
Detail oriented and good organization skills
Self-motivated and accountable for delivering accurate, timely results
Collaborative team player with flexibility to adapt to changing priorities and schedules
Familiarity with software development lifecycle (SDLC)
Passed the CFA Level II or higher
Experience in AI-assisted development tools such as GitHub, Copilot, Cursor, or Claude
Exposure to cloud platforms and services
Skills
SQL
Python
R
MATLAB
GitHub
Copilot
Cursor
Claude
Job Purpose
The Senior Financial Engineer will play a critical role in developing and enhancing solutions on our analytics platform to support growth in fixed income and equity analytics. This position requires advanced technical expertise and strong analytical skills. The data analysis efforts are primarily focused on analyzing quantitative analytic measures and the supporting reference data used to derive those calculations. The successful candidate will collaborate with Product Development, Data Analysis, Quantitative Research, IT, QA, and Operations teams to ensure high-quality data delivery.
Responsibilities
•
Ensure accuracy and integrity of quantitative measures and reference data.
•
Oversee and validate critical data production processes, ensuring timely and accurate client deliverables.
•
Research and respond to client data inquiries and challenges.
•
Establish and monitor performance metrics for version upgrades and enhancements.
•
Produce historical analysis that highlights current analytic trends for different asset types.
•
Create and maintain documentation for workflows, data requirements, and DQA test cases.
•
Recommend and implement process improvements to enhance data analysis and operational efficiency.
Knowledge and Experience
•
Master’s degree in Mathematics, Financial Engineering, Mathematical Finance, Computer Science or Finance
•
2+ years’ experience in related field
•
Strong understanding of fixed income mathematics with exposure to equity, index, and derivative instruments
•
Excellent Quantitative Analytic Skills
•
Proficiency in SQL and experience with data analysis tools such as Python, R, or MATLAB
•
Excellent communication skills for articulating issues, clarifying requirements, and presenting findings
•
Detail oriented and good organization skills
•
Self-motivated and accountable for delivering accurate, timely results
•
Collaborative team player with flexibility to adapt to changing priorities and schedules
•
Familiarity with software development lifecycle (SDLC)
Preferred Knowledge and Experience
•
Passed the CFA Level II or higher
•
Experience in AI-assisted development tools such as GitHub, Copilot, Cursor, or Claude
•
Exposure to cloud platforms and services
Legal
Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.