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Data Scientist
| Estimated Pay | $63 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | New York, New York |
Compare Pay
Estimated Pay$34.39
$62.53
$100.92
About this job
Job Purpose
ICE Data Services (IDS), a subsidiary of Intercontinental Exchange, is a global leader in market data, analytics and connectivity solutions. We provide a comprehensive offering of data services and products supporting the trading, investment, risk management and connectivity needs of customers around the world and across assets.
We are conducting a search for a new member of our data science team. The candidate who joins us must have a strong background in statistical modelling and financial engineering. Further, experience with modeling relative liquidity differences for fixed income securities is desirable. This role requires individuals to enhance proprietary algorithms designed to bring transparency and standardization to the fixed income market and an ability to concisely communicate the results to our clients and internal stakeholders. As a member of a fast-paced team of quants and data scientists that is tasked with evolving modeling techniques to improve precision and scale across millions of bonds, you will also be tasked with researching AI & ML techniques and utilizing them to help further improve precision/accuracy and gain operational efficiency. The role requires work with significantly large data sets spanning multiple years of data and a mature approach to leadership.
Responsibilities
- Work closely with engineering and data science teams to procure, analyze and validate data sources
- Work closely with product support teams to validate methodologies and explain results where they are unexpected
- Investigate ad hoc issues and debug pricing applications
Knowledge and Experience
- Some experience doing quantitative analysis in a financial setting with an understanding of relative value and market dynamics.
- Experience using AI & ML techniques to solve complex multi-dimensional problems preferred.
- Ability to apply and reason about statistical models with sparse and noisy data.
- Ability to translate financial requirements to ML objectives.
- Hands on experience utilizing Python, SQL and other programming tools
- Bachelors or higher in Computer Science, Math, Physics, Engineering, or related quantitative field, advanced degrees preferred
Schedule
This role offers work from home flexibility of up to 2 days per week.
Base Salary Range for New York Candidates
The expected base salary for this role is between 110,000-140,000 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.
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.
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