Data Scientist

Key Skills

Java Programming, Python Programming, SQL, Data science techniques, R Programming, Data Analysis

Job Description

Job Purpose

We are looking for individuals with a background in statistical modelling and finance to join our data science team at Intercontinental Exchange. We require candidates to have experience building, enhancing, or supporting products related to fixed income securities. The 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 tasked with evolving modeling techniques to improve precision and scale across millions of bonds. You will also be tasked with researching new techniques of utilizing AI & ML to help further improve precision and operational efficiency. The role will require individuals to work with significantly large data sets spanning decades of historical data.

Responsibilities:

• Learn, research, implement and maintain pricing models across fixed income asset classes
• Work closely with engineering and data science teams to procure, analyze and validate data sources
• Work closely with product support teams to validate methodologies
• Investigating Ad hoc issues and debugging pricing applications

Knowledge and Experience:

• An understanding of fixed income instruments
• Strong communications skills
• Hands on experience utilizing R, Python and SQL
• 3+ years of experience doing data analysis
• Masters or higher in Computer Science, Math, Physics, Engineering, or related quantitative field
• Experience using AI & ML techniques to solve complex multi-dimensional problems is advantageous

Schedule

This role offers work from home flexibility.

Intercontinental Exchange, Inc. is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability or veteran status, or other protected status.