Please contact your Administrator to change your authorization settings.
Job Purpose
The NYSE is looking for a Senior Data Scientist to join the NYSE Transactions Data Science team. As a Senior Data Scientist, you will employ the latest data science and analytics techniques to help spearhead the group's quantitative research efforts and drive innovation and growth within the business. You will design and build innovative quantitative methods to drive exchange trading product evolution, identify key market trends, devise advanced analytics, and unlock the next big opportunities for the business and the industry. In this role you will collaborate with various internal and external stakeholders, including regular interaction with NYSE and ICE senior management, to extend and defend the NYSE's leadership position in the cash equity and options trading, listing and technology businesses.
Responsibilities
In this role, you will:
- Apply advanced quantitative methods to analyze and evaluate NYSE initiatives, market developments and industry proposals.
- Use the latest in data science and machine learning to research and drive product development and enhancement.
- Leverage new technologies to build data science models to extract insights from trading data, unlocking opportunities for the business, and further improving and evolving the trading experience of exchange members.
- Regularly interact with internal and external stakeholders to develop and drive the quantitative research roadmap of the group.
Knowledge and Experience
- B.S. / B.A. (M.S. / PhD preferred) in finance, computer science, statistics, physics, engineering, or related field, with a record of outstanding academic achievement.
- 3+ years of work experience within the financial services industry. Experience in electronic trading, exchange operations or other financial services firm preferred.
- Expert proficiency in SQL and Python (other languages a plus).
- Experience with data visualization tools such as Tableau or Power BI.
- Previous experience with machine learning. Familiarity with major ML frameworks (XGBoost, TensorFlow, PyTorch) a plus.
- Basic knowledge of US equity and options market structure. Familiarity with exchange order books and order book data feeds.
- Ability to work independently, following up with various stakeholders and determining best course as circumstances warrant.
- Strong communication skills, ability to interface with a multitude of different internal and external resources.
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 120,000 - 185,000 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.
#LI-RS1 #LI-Onsite
Intercontinental Exchange is an Equal Opportunity Employer and is committed to diversity in its hiring and business practices. All qualified candidates are encouraged to apply.