Cubist Data Scientist

Point72; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Point72 in New York is looking for a Data Scientist to join their team in delivering comprehensive data to support capital management. The role involves onboarding novel datasets, developing applications, and partnering with investment teams.

The candidate should have a Master's in a quantitative field, strong Python and SQL skills, and preferably some experience with AWS, Linux, and financial data processes.

Qualifications

• Masters degree with strong quantitative analysis skills.
• Strong programming skills in Python and SQL.
• Preferred experience with AWS, Linux, and Airflow.
• Organizational and communication skills are essential.

Responsibilities

• Onboarding datasets from diverse sources into the platform.
• Developing and deploying data pipelines and applications.
• Engaging with stakeholders to understand dataset characteristics.
• Defining qualitative data alerts and reports.
• Collaborating with investment teams on data needs.

Skills

Strong programming skills in Python

Strong programming skills in SQL

Experience with AWS

Experience with Linux

Experience with Airflow

Strong organization and communication skills

Attention to detail

Ability to multitask

Education

Masters in Financial Engineering, Statistics, or Computer Science

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 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
• 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 oraland writtencommunication 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