
Principal Engineer, Quantitative Data Science
Are you a highly skilled and motivated data science professional looking for a new challenge? Look no further than Intercontinental Exchange, a leading financial services and technology company. We are seeking a Principal Engineer, Quantitative Data Science to join our dynamic team and help drive our data-driven decision-making processes. In this role, you will have the opportunity to work with cutting-edge technologies and collaborate with talented individuals to develop innovative solutions that impact the global financial markets. To be successful in this role, you must have a strong background in quantitative analysis, data modeling, and programming, along with excellent communication and leadership skills. If you are passionate about leveraging data to drive business success and are ready to take on a leadership role, we want to hear from you.
- Conduct quantitative analysis to identify patterns, trends, and insights in large datasets
- Develop and maintain data models to support data-driven decision-making processes
- Utilize cutting-edge technologies to design and implement innovative solutions
- Collaborate with a team of talented individuals to develop and execute data science projects
- Provide leadership and guidance to junior data scientists and engineers
- Communicate complex technical concepts and findings to non-technical stakeholders
- Stay up-to-date with industry trends and advancements in data science and technology
- Take ownership of data projects from concept to completion, ensuring high-quality and timely delivery
- Conduct research to identify opportunities for data-driven optimization and improvement within the company
- Foster a culture of data-driven decision-making within the organization.
Strong Understanding Of Statistical Modeling Techniques And Machine Learning Algorithms.
Advanced Degree In A Quantitative Field Such As Computer Science, Mathematics, Statistics, Or Economics.
Minimum Of 8-10 Years Of Experience In Data Science, Preferably In Financial Markets Or Related Industries.
Expertise In Programming Languages Such As Python, R, Or Java, As Well As Experience With Sql And Data Visualization Tools.
Proven Track Record Of Leading And Managing A Team Of Data Scientists And Collaborating With Cross-Functional Teams To Deliver Data-Driven Solutions.
Quantitative Research
Data Analysis
Machine Learning
Deep Learning
Data Visualization
Natural language processing
Algorithm development
Statistical modeling
Predictive modeling
Time series analysis
Big Data management
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
collaboration
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Principal Engineer, Quantitative Data Science in New York, NY, USA is between $120,000 and $200,000 per year. However, factors such as experience, skills, and the specific company and industry can affect the exact salary for this position.
Apply with Video Cover Letter Add a warm greeting to your application and stand out!
Intercontinental Exchange is an American company that owns exchanges for financial and commodity markets, and operates 12 regulated exchanges and marketplaces.

Get interviewed today!
JobzMall is the world‘ s largest video talent marketplace.It‘s ultrafast, fun, and human.
Get Started
