Point72

Cubist Data Scientist

Point72 • $120K — $145K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Masters in Financial Engineering, Statistics, Computer Science, or similar quantitative field
  • Strong programming skills in Python and SQL
  • Experience with AWS, Linux, and Airflow is a plus
  • Financial industry experience is a plus
  • Excellent organization and communication skills
  • High attention to detail and process-oriented approach
  • Strong oral and written communication skills

Responsibilities

  • Onboard diverse datasets into the platform
  • Develop, test, and deploy data pipelines and applications
  • Enhance and create features from existing datasets
  • Engage with vendors and stakeholders to clarify dataset characteristics
  • Automate qualitative data alerts and reports
  • Collaborate closely with investment teams to meet data needs
  • Conduct preliminary analysis for investment teams

Benefits

  • Collaborative and dedicated data team environment
  • Exposure to cutting-edge research infrastructure
  • Opportunity to engage with top-tier portfolio managers
  • Dynamic and fast-paced trading environment
  • Focus on ethical standards and sound judgment
Full Job Description
ROLE

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 Point72

Point72 Asset Management is a hedge fund and family office founded by Steven Cohen in 2014. The company is headquartered in Stamford, Connecticut and manages over $16 billion in assets. Point72 primarily invests in public equity markets, but also has a private equity arm. The company has a global presence with offices in New York, London, Hong Kong, Tokyo, and Singapore. Point72 has been involved in several high-profile legal cases, including a $1.8 billion settlement with the SEC in 2013.
Learn more about Point72
Size
1,500 employees
Industry
Founded
2014

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