Options/Volatility

Locations: New York City, Chicago, Connecticut, Austin, Dallas, Houston, San Francisco, Los Angeles, Miami, London, Dubai, Remote
About the Role
If you are a quantitative researcher, trader, or portfolio manager with Options or Volatility experience and are interested in generally exploring a new role, 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, Master’s, or Ph.D. degree in a quantitative field such as computer science, mathematics, statistics, physics, finance, or similar STEM disciplines.
  • 3+ years in a quantitative role with experience in options or volatility research or trading.
  • Proficiency in advanced research techniques, statistical analysis, time series analysis, and machine learning algorithms.
  • Strong programming abilities in Python, C++, Java, or other.
  • Proficiency in data analysis, data manipulation, and working with large datasets. Experience with SQL, Pandas, NumPy, 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 a role in this area is $125,000 to $300,000. 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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