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Quantitative Analyst – Equity Index Rebalance (Summer Internship)

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
  • New York

Requirements

  • Rising junior undergrad or 1st Year Master’s Student in quantitative field with a December 2024 or May 2025 graduation date. Bachelor’s in computer science, finance, mathematics, or other STEM related fields.
  • Strong programming skills in Python, including experience with data manipulation, statistical analysis, and optimization libraries (e.g., pandas, numpy, scipy)
  • Solid understanding of index methodology and experience working with index funds or related financial products
  • Familiarity with factor modeling and risk analysis techniques in the context of equity markets
  • Knowledge of optimization techniques for achieving optimal portfolio allocation and rebalancing
  • Strong organization skills with the ability to present results clearly and iterate with PMs accordingly
  • The ideal candidate for an intern position will be someone who has or is interested in:
  • Strong desire to work collaboratively with the team
  • High standard of professionalism in all dealings with internal staff and any external partners, clients and regulatory agencies
  • Problem solving skills and ability to identify and implement appropriate solutions
  • Ability to prioritize and manage multiple tasks and projects concurrently to meet/exceed deadline
  • Strong passion and interest in careers in investment management
  • Strong written and verbal communication skills
  • Outstanding attention to detail and strong organization skills

Responsibilities

  • Collaborate with the investment team to understand index methodology and requirements for rebalancing
  • Develop and maintain robust and efficient programs in Python for index rebalancing and portfolio optimization
  • Utilize statistical modeling techniques to analyze historical data and identify factors influencing index performance.
  • Implement optimization techniques to achieve optimal portfolio allocation and rebalancing
  • Work on data analysis projects, prototyping and back-testing that have direct influence on trade idea generation
  • Generate and implement ideas for improvement of existing strategies and optimize current portfolio
  • Help build market monitors and relative value reports to identify and track new trades
  • Develop models on market-relevant topics, e.g. economic data, forecast prices, market products
  • Read and analzye legal documents and input key factors and variables into models and programs
  • Assist in portfolio optimization

Venture Capital & Private Equity
Industry
501-1000
Employees
2001
Founded Year

Mission & Purpose

Balyasny Asset Management (BAM) is a global, multi-manager multi-strategy investment firm founded in 2001 by Dmitry Balyasny, Scott Schroeder and Taylor O'Malley. What began as a single, small office in Chicago trading mostly long/short equity has grown into an institutional global platform with investment strategies spanning across Equities Long/Short, Macro, Equities Arbitrage, Credit, Commodities, Systematic and Growth Equity. Today, we have 15 global offices with over 1,700 team members, 161 investment teams, and 21 partners managing more than $20 billion in AUM. We have built an award-winning collaborative culture dedicated to leveraging the collective knowledge and experience of our team members across industries, asset classes, regions, and markets to uncover profitable investment opportunities that deliver value to our clients. At BAM, we are our talent. We are a growing firm that offers a multitude of professional opportunities. Through BAM’s selective hiring process, we target the best and brightest in the business, and strive to create an environment which attracts and retains top talent. Maintaining a culture where people are energized to come to work is paramount to our success. Our team is motivated to perform each and every day. As a result, BAM has built a reputation as a firm that provides the tools necessary for talented individuals to achieve their goals and reach their highest potential.

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