Role at a glance
- Job function
-
AI & Data Data Science
- Salary
- Not Disclosed
- Location
- New York, United States New York, New York, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Experience working with AWS, Linux and Airflow preferred but not required Financial industry experience preferred but not required
- Education
- Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
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Role Summary
The Data Scientist joins Cubist’s Data Services group, which delivers comprehensive, timely, and accurate data for systematic portfolio managers. The role supports research infrastructure and live production trading by bringing datasets into the platform, developing data services, and working with investment teams on their data needs.
What You'll Do
- Onboard novel datasets from a variety of sources into the platform.
- Develop, test, and deploy data pipelines, applications, and services.
- Reshape, aggregate, enhance, and create features from datasets.
- Engage with vendors and internal stakeholders to understand dataset characteristics.
- Define and automate qualitative data alerts and reports.
- Partner with investment teams to meet their data requirements, and perform preliminary analysis and research to share with them.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A master’s degree in Financial Engineering, Statistics, Computer Science, or another discipline involving rigorous quantitative analysis; strong programming skills in Python and SQL; strong organization, communication, and interpersonal skills; attention to detail; sound judgment; ability to multitask and prioritize; and commitment to high ethical standards.
Preferred
- Experience working with AWS, Linux and Airflow preferred but not required
- Financial industry experience preferred but not required
Original job description
Content provided by the employer
Original job description
Content provided by the employer
ROLE
We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.
Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.
As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.
RESPONSIBILITIES
- Onboarding novel datasets from a huge variety of sources into our platform
- Develop, test and deploy data pipelines, applications and services
- Re-shaping, aggregating, enhancing and creating features from datasets
- Engaging with vendors and internal stakeholders to understand characteristics of datasets
- Defining and automating qualitative data alerts and reports
- Partnering closely with investment teams to ensure their data requirements are met
- Perform preliminary analysis and research to be shared with investment teams
REQUIREMENTS
- Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
- Strong programming skills in Python and SQL
- Experience working with AWS, Linux and Airflow preferred but not required
- Financial industry experience preferred but not required
- Strong organization, communication and interpersonal skills
- Attention to detail and a love of processes
- Strong oral and written communication skills
- Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
- Ability to multitask and prioritize assignments
- Commitment to the highest ethical standards
About the company
Point72
Large Enterprise
Point72 is a global asset management firm that invests across various asset classes, primarily focusing on equity and credit markets. Founded by Steven A. Cohen in 2014, the firm leverages advanced data analytics and extensive research to drive investment decisions and deliver superior returns for its clients. With a commitment to collaboration, innovation, and professional development, Point72 cultivates a dynamic work environment where talented individuals can thrive in the fast-paced financial landscape. The company fosters a culture of integrity and accountability, aiming to contribute positively to the communities it serves.