Quant Investment Associate

1 week ago


chicago, United States Coda Search│Staffing Full time

We are currently partnered with a top American asset manager that is looking to expand their quant team supporting one of their alpha generating businesses based in Chicago. The firm is know for its full asset management offering across renewables, infrastructure, real estate, private equity, and private credit.


We are seeking an experienced Quant Investment Analyst to assist in the development and implementation of quant-driven investment portfolios and systematic asset allocation strategies. This role will involve creating and refining quantitative tools for back testing, trading, and pricing, while working within the constraints of our investment mandates. The ideal candidate will have a strong background in quantitative analysis and portfolio optimization, with a proven track record in the asset management or hedge fund industry.


Key Responsibilities:

  • Develop and implement quant-based investment portfolios focused on real assets.
  • Assist in the creation of systematic asset allocation strategies across equity and debt vehicles.
  • Design and develop quantitative tools for back testing, trading, and pricing strategies.
  • Conduct thorough quantitative analysis and modeling to optimize portfolio performance.
  • Collaborate with the investment team to refine and enhance existing investment strategies.
  • Monitor and manage risk within the portfolios, ensuring adherence to investment constraints.
  • Stay updated on market trends, emerging technologies, and quantitative methodologies.


Qualifications:

  • Minimum of 5 years of experience in a similar role within an asset management firm or hedge fund.
  • Advanced degree in a quantitative discipline such as finance, mathematics, statistics, or a related field.
  • In-depth knowledge of portfolio optimization techniques and quantitative investment strategies.
  • Proficiency in programming languages such as Python, R, or MATLAB for quantitative modeling.
  • Experience with back testing frameworks and trading systems.
  • Strong analytical skills with the ability to interpret complex data and make informed investment decisions.
  • Excellent communication skills and the ability to work effectively in a collaborative team environment.



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