Cubist Senior Data Scientist

Point72; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

Point72 is seeking a Senior Data Scientist to join its dedicated data team in New York. You will be responsible for onboarding novel datasets and ensuring their usability for investment teams. This role requires a PhD or Masters in a quantitative field and strong skills in Python and SQL.

The ideal candidate has 5+ years of experience in a Data Scientist role, with a passion for data and continuous improvement of data processes. Join us to empower predictive modeling in finance.

Qualifications

• PhD or Masters in Financial Engineering, Statistics, or Computer Science.
• Strong programming skills in Python and SQL.
• 5+ years of experience as a Data Scientist or similar role.

Responsibilities

• Onboard novel datasets from a variety of sources into our platform.
• Build processes and tools to ingest and clean datasets.
• Analyze data for usability and feature extraction.

Skills

Python

SQL

Data Analysis

Predictive Modeling

Communication Skills

Organization

Education

PhD or Masters in Financial Engineering, Statistics, or Computer Science

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 lookingfor aData Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data tosome 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-dayimplementation of a large research infrastructure, and the live production tradingof 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 oraland writtencommunication skills
• Ability to multitask and prioritize assignments
• Commitment to the highest ethical standards