NYSE Data Scientist
Welcome to Intercontinental Exchange, home to the world's leading financial marketplaces, including the New York Stock Exchange (NYSE). We are seeking a talented Data Scientist to join our dynamic team at the NYSE. As a Data Scientist, you will have the opportunity to work with vast amounts of data and cutting-edge technology to drive strategic insights and inform decision-making for our organization. We are looking for a highly analytical and innovative individual who is passionate about using data to unlock new opportunities and drive growth. If you have a strong background in data analysis, programming, and a deep understanding of financial markets, we invite you to apply for this exciting opportunity to be a part of our team.
- Conduct data analysis and utilize statistical techniques to identify trends and patterns in large datasets.
- Collaborate with internal teams to identify key business questions and develop data-driven solutions.
- Utilize programming languages and tools such as Python, R, and SQL to clean, manipulate, and analyze data.
- Develop and maintain predictive models to forecast market trends and inform business decisions.
- Provide insights and recommendations to stakeholders based on data analysis and interpretation.
- Continuously monitor and evaluate the accuracy and effectiveness of models and make necessary adjustments.
- Stay current with industry trends and advancements in data science and apply them to enhance our data analytics capabilities.
- Work with cross-functional teams to identify opportunities for data-driven initiatives and develop strategies to optimize business performance.
- Communicate complex data and findings to non-technical stakeholders in a clear and concise manner.
- Develop tools and dashboards to visually represent data and make it accessible to stakeholders.
- Ensure data accuracy, integrity, and security throughout all stages of data analysis.
- Collaborate with IT teams to identify and implement new technologies that can improve data analysis and processing.
- Stay updated with regulatory requirements and ensure compliance with data privacy laws.
- Mentor and guide junior data analysts and provide technical support as needed.
- Contribute to the development and deployment of data science projects across the organization.
Bachelor's Or Master's Degree In Data Science, Computer Science, Mathematics, Statistics, Or A Related Field.
Minimum Of 3-5 Years Of Experience In Data Analytics, Preferably In The Financial Industry.
Proficiency In Programming Languages Such As Python, R, And Sql.
Strong Understanding Of Statistical Modeling Techniques And Machine Learning Algorithms.
Excellent Communication And Problem-Solving Skills, With The Ability To Translate Complex Data Into Actionable Insights For Business Stakeholders.
Risk Management
Programming
Data Analysis
Market Research
Database Management
Machine Learning
Data Visualization
Data Mining
Statistical modeling
Predictive analytics
Time series
Financial Markets
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Organization
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a NYSE Data Scientist in New York, NY, USA is between $94,000 and $150,000 per year. This range may vary depending on factors such as education, experience, and specific job responsibilities. Additionally, bonuses and other forms of compensation may also impact the overall salary for a data scientist in this location.
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Intercontinental Exchange is an American company that owns exchanges for financial and commodity markets, and operates 12 regulated exchanges and marketplaces.
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