Data Science Manager

Key Skills

AI technology, Machine learning techniques, Python Programming, SQL, Statistical modeling

Job Description

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 manager to run a 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 and expand proprietary algorithms designed to bring transparency and standardization to the fixed income market and an ability to concisely communicate the results to our clients. 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 new techniques utilizing AI & ML 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
• Lead and mentor a team of motivated individuals to attain their potential

Knowledge and Experience

• 3+ years of experience doing quantitative analysis in a financial setting with an understanding of relative value and market dynamics
• Ability to apply and reason about statistical models with sparse and noisy data
• Experience using AI & ML techniques to solve complex multi-dimensional problems preferred
• Strong communications skills and leadership experience with a team preferred
• 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 $140,000 - 175,000 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.