Lead Data Scientist

Intercontinental Exchange Holdings, Inc.

$130K — $190K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's or higher in Computer Science, Math, Physics, Engineering, or related field; PhD preferred
  • 3+ years of quantitative analysis experience
  • Proficient in Python, C++, SQL, Shell Scripting, R
  • Familiarity with AI & ML techniques for solving complex problems preferred
  • Understanding of fixed income instruments
  • Strong communication skills

Responsibilities

  • Learn, research, implement and maintain pricing models across fixed income asset classes
  • Collaborate with product, engineering and evaluation teams to analyze and validate data sources
  • Investigate ad hoc issues and debug pricing applications

Benefits

  • Healthcare coverage (medical, dental and vision)
  • 401(k) plan
  • Life insurance
  • Generous time off
  • Paid leave for qualifying circumstances
Full Job Description
Overview

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. 

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