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Intercontinental Exchange

Runs exchanges, data and mortgage technology

Lead Data Scientist

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • A master's degree or higher in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field is required; a PhD is preferred.
  • At least 3 years of experience in quantitative analysis is required.
  • Hands-on experience with Python, C++, SQL, shell scripting, and R is required.
  • An understanding of fixed income instruments is required.
  • Strong communication skills are required.

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.
  • Investigate ad hoc issues and debug pricing applications.

Desired Qualifications

  • Experience using artificial intelligence and machine learning techniques to solve complex multidimensional problems is preferred.
  • A PhD is preferred.

About the Company

Intercontinental Exchange

Runs exchanges, data and mortgage technology

Intercontinental Exchange runs financial marketplaces, clearing houses and data services for banks, investors and businesses that trade or finance assets. Its New York Stock Exchange lets companies raise capital and gives investors a place to buy and sell listed shares. ICE also sells market pricing and analytics, while its mortgage software supports lenders from loan applications through closing and servicing. Trading fees, listing fees and subscriptions pay for these services, and clearing houses manage the risk that one side of a trade fails to pay. Founded in 2000 to digitize energy trading, Intercontinental Exchange is headquartered in Atlanta, Georgia.

Company size
10,001+
Company stage
IPO
Headquarters
Atlanta, GA
Founded
2000

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