Senior Data Scientist

SupportFinity™; New York (NY); On-site; USD 200,000 - 300,000; Full time

Job summary

Point72 is seeking a Senior Data Scientist to join the Data Services group. You will help implement a large research infrastructure and support live production trading across global capital markets, handling billions of dollars in capital.

The role emphasizes onboarding diverse datasets, building robust data workflows, and delivering high-quality, actionable data products for investment teams. Strong Python/SQL skills and 5+ years in data science are required.

Qualifications

• PhD or Master's in Financial Engineering, Statistics, Computer Science or related quantitative field.
• Strong programming skills in Python and SQL.
• Experience with AWS, Linux and Airflow preferred but not required.
• 5+ years of experience as a Data Scientist or in a similar role.
• Experience working with large data sets and predictive modeling.
• Financial industry experience preferred but not required.
• Strong organization, communication and interpersonal skills.
• Attention to detail and a love of processes.

Responsibilities

• Onboard novel datasets from diverse sources into our platform.
• Build processes and tools to ingest, clean and deliver datasets.
• Analyze data for usability, cleanliness and feature extraction.
• Create in-house derived data products for investment teams.
• Engage with vendors and stakeholders to understand data characteristics.
• Collaborate with investment teams to meet data requirements.
• Research new technologies (including AI) to improve data management.

Skills

Python

SQL

Education

PhD or Master's in Financial Engineering/Statistics/CS

Tools

AWS

Linux

Airflow

Job description

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 Senior 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
• Building processes, tools and frameworks to ingest, clean and deliver datasets
• Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams
• Creation of in-house, value added, derived data products for consumption by investment teams
• Engaging with vendors and internal stakeholders to understand characteristics of datasets
• Partnering closely with investment teams to ensure their data requirements are met
• Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams

Requirements

• PhD or 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
• 5+ years of experience as a Data Scientist or similar role
• Experience working with large data sets including predictive modeling
• Financial industry experience preferred but not required
• Strong organization, communication and interpersonal skills
• Intellectual curiosity and enthusiasm for learning
• Attention to detail and a love of processes
• Strong oral and written communication skills
• Ability to multitask and prioritize assignments
• Commitment to the highest ethical standards

The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

About the company

Point72