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Quantitative Portfolio Manager

2 months ago

Chicago, Illinois, United States Roy Talman & Associates Full time
Job Summary

We are seeking a highly skilled Quantitative Portfolio Manager to join our team at Roy Talman & Associates. As a key member of our portfolio management team, you will be responsible for overseeing the day-to-day trading operations for one or more automated trading portfolios.

Key Responsibilities
  • Portfolio Management: Oversee the day-to-day trading operations for portfolio(s), ensuring that trading strategies are executed in accordance with defined risk and capital limits.
  • Profitability Analysis: Monitor and evaluate portfolio profitability on an ongoing basis, identifying opportunities to maximize profits while managing risk.
  • Risk Management: Manage risk and capital usage for portfolio, ensuring compliance with defined risk and capital limits.
  • Trading Operations: Work with trade desk operations to ensure well-defined, robust procedures are in place for trading and portfolio management.
  • Portfolio Development: Oversee the initial and ongoing development of portfolio(s), including the addition of new trading products and strategies.
  • Regulatory Compliance: Ensure that all trading activities are in compliance with relevant regulations and laws.
  • Collaboration: Work closely with financial engineers and software developers to develop and implement quantitative research and algorithm development, software development and implementation, and operational impact of portfolio(s).
Requirements
  • Results-Driven: Proven track record of delivering results in a fast-paced trading environment.
  • Financial Markets Experience: 2-5 years of experience in financial markets, with a strong understanding of financial markets, statistics and financial modeling, software development and implementation, and trading operations and compliance.
  • Quantitative Skills: Strong proficiency in financial modeling, statistical analysis, and software development.
  • Education: Undergraduate degree in a quantitative discipline, such as mathematics, statistics, or computer science.
Preferred Qualifications
  • SQL, R, Perl, and Unix: Familiarity with SQL, R, Perl, and Unix programming languages.