Quantitative Researcher,
Portfolio Construction/Optimization

Locations: New York City, Chicago, Connecticut, Austin, Dallas, Houston, San Francisco, Los Angeles, Miami, London, Dubai, Remote
About the Role
These roles focus on combining alpha signals and building portfolios. You will work on optimal asset allocation, weighting, managing risk, and overseeing portfolio performance. You will collaborate with other teams, such as risk management and researchers to ensure alignment with overall investment objectives.
If you are interested in exploring a new role in portfolio optimization, please use the link below to apply. 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.
  • 5+ years in a quantitative research role focusing on optimal portfolio construction.
  • Proficiency in advanced research techniques, statistical analysis, optimization, and mean-variance analysis.
  • Strong programming abilities in Python, C++, Java, or other.
  • Proficiency in data analysis, data manipulation, and cleaning 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 base salary range for this role is $150,000 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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