Lead Data Scientist
New York, New York
- Pay
USD 130,000–190,000/year · BaseAnnual period assumed — pay source
New York Base Salary Range The expected base salary for this role, if located in New York, is between $130,000 - 190,000 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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingLearn, research, implement and maintain pricing models across fixed income asset classes
Work with product, engineering and evaluation teams to procure, analyze and validate data sources
Investigate ad hoc issues and debug pricing applications
Research new AI-enabled techniques to scale the business
From the employer’s posting
Learn, research, implement and maintain pricing models across fixed income asset classes
Work closely with product, engineering and evaluation teams to procure, analyze and validate data sources
Investigating Ad hoc issues and debugging pricing applications
You will also be asked to research new techniques enabled by the usage of AI to scale our business
What you’ll bring
All qualificationsCore experience
- Master's or higher in Computer Science, Math, Physics, Engineering, or related quantitative field
- 3+ years of quantitative analysis experience
- Hands-on experience with Python, C++, SQL, Shell Scripting, R
- An understanding of fixed income instruments
- Strong communication skills
Qualification wording
Master's or higher in Computer Science, Math, Physics, Engineering, or related quantitative field
3+ years of experience doing quantitative analysis
Hands on experience utilizing Python, C++, SQL, Shell Scripting, R
An understanding of fixed income instruments
Strong communications skills
Education & alternatives
Knowledge and Experience - Master's or higher in Computer Science, Math, Physics, Engineering, or related quantitative field, PhD preferred - 3+ years of experience doing quantitative analysis
Tools in this posting
- C++
- Python
- R
- SQL
Source — Tool mentions in context
- 3+ years of experience doing quantitative analysis - Hands on experience utilizing Python, C++, SQL, Shell Scripting, R - Experience using AI & ML techniques to solve complex multi-dimensional problems preferred
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 11, 2026 · 79 days ago
- Recorded sightings
- 336
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Jul 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on careers-ice.icims.com. The employer’s form will show what is required.
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Job description
Job Purpose
We are looking for individuals with a strong background in statistical modelling and financial engineering to join our research and rapid prototyping team at Intercontinental Exchange. We require candidates to have experience building, enhancing or supporting the pricing of fixed income securities with a strong interest in leveraging AI driven tooling on the job. This role requires individuals to enhance and expand proprietary algorithms designed to bring transparency and standardization to the fixed income market. You will join a fast-paced team of quants and data scientists leveraging state-of-the-art tools tasked with improving precision and scale across millions of bonds. You will also be asked to research new techniques enabled by the usage of AI to scale our business. The role will require individuals to work with significantly large data sets spanning years of historical data.
Responsibilities
- Learn, research, implement and maintain pricing models across fixed income asset classes
- Work closely with product, engineering and evaluation teams to procure, analyze and validate data sources
- Investigating Ad hoc issues and debugging pricing applications
Knowledge and Experience
- Master's or higher in Computer Science, Math, Physics, Engineering, or related quantitative field, PhD preferred
- 3+ years of experience doing quantitative analysis
- Hands on experience utilizing Python, C++, SQL, Shell Scripting, R
- Experience using AI & ML techniques to solve complex multi-dimensional problems preferred
- An understanding of fixed income instruments
- Strong communications skills
New York Base Salary Range
The expected base salary for this role, if located in New York, is between $130,000 - 190,000 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
New York Base Salary Range The expected base salary for this role, if located in New York, is between $130,000 - 190,000 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.
- Location & working pattern
New York, New York
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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