Remote Quantitative Associate: Portfolio Analytics

KBW Financial Staffing & Recruiting

Sarasota (FL)

On-site

USD 130,000 - 160,000

Full time

28 hours ago
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Job summary

KBW Financial Staffing & Recruiting is seeking a Back Quantitative Associate to support a portfolio management team in Sarasota. The role is 100% remote for a candidate residing in Massachusetts, with travel about once per month to NYC or Florida.

The ideal candidate has 2+ years in quantitative investment management, experience with risk tools and portfolio construction, proficiency in R or Python (or Java/C++), strong Excel skills, and a Bachelor's degree in a quantitative field.

Qualifications

  • 2+ years of professional experience in quantitative investment management.
  • Experience with risk management tools and portfolio construction.
  • Proficiency with R or another programming language such as Python, Java, or C++.
  • Strong Excel and Microsoft Office skills.
  • Bachelor's degree in a quantitative field.

Responsibilities

  • Support SMA, mutual fund, and ETF rebalancing/trading processes, including running optimizations and interpreting outputs.
  • Provide backup support for portfolio management and performance reporting workflows.
  • Produce ad hoc reports and analysis to support investment decisions.
  • Work with platforms including FactSet, MS Direct, Black Diamond, and Northfield.
  • Gather data, validate outputs, identify issues, and communicate results accurately.
  • Help maintain continuity of established portfolio management procedures.

Skills

Quantitative investment experience
Risk management tools
Programming in R or Python
Excel/MS Office
Analytical skills

Education

Bachelor's degree in a quantitative field

Tools

FactSet
MS Direct
Black Diamond
Northfield

Job description

KBW Financial Staffing & Recruiting is seeking a Back Quantitative Associate to support a portfolio management team in Sarasota. The role is 100% remote for a candidate residing in Massachusetts, with travel about once per month to NYC or Florida.

The ideal candidate has 2+ years in quantitative investment management, experience with risk tools and portfolio construction, proficiency in R or Python (or Java/C++), strong Excel skills, and a Bachelor's degree in a quantitative field.

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