Data Scientist

Locations: New York City, Chicago, Connecticut, San Francisco, Miami, London, Dubai, Remote

About the Role
As a data scientist, you’ll explore, analyze, and dive deep into large structured, unstructured, and alternative data sets to generate investment insights. You’ll partner with investment teams and portfolio managers to help provide an edge to their investment theses.
If you are a data scientist looking for a new challenge or interested in exploring a role in the investment world, please apply below. We will review your profile and share the roles we think are a strong fit with your background.
Requirements
  • A Bachelor’s degree or higher in a quantitative field such as computer science, mathematics, statistics, physics, finance, or similar STEM disciplines OR non STEM area with a strong technical background.
  • 3+ years in a data scientist position or as a data-driven analyst.
  • Working proficiency in Python or R.
  • Proficiency in data analysis, data manipulation, and working with large unstructured datasets. Experience with SQL, Spark, Pandas, or other data analysis libraries.
  • Strong analytical skills with the ability to formulate and solve complex problems, think critically, and make data-driven decisions.
  • Excellent verbal and written communication skills  and ability to effectively convey complex ideas.
  • Demonstrated ability to work collaboratively in a team-oriented environment.
  • Ability to manage multiple tasks and priorities in a fast-paced, dynamic environment. Flexibility to adapt to changing market conditions
    and research requirements.
In accordance with New York City’s Pay Transparency Law, the typical base salary range for this role is $125,000 to $250,000. Base salary does not include other forms of compensation or benefits such as a discretionary bonus, health, dental, and other wellness plans and 401(k) contributions. Discretionary bonuses can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

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