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Lead Quantitative Analyst

2 months ago

New York, New York, United States Brain Gain Recruiting Full time

A prominent global investment firm is in search of driven and innovative Quantitative Analysts and Senior Quantitative Analysts to enhance its distinguished Quantitative Strategies division.

We seek individuals who are enthusiastic about leveraging sophisticated mathematical methodologies and programming expertise to devise, assess, and execute statistical models for automated financial trading strategies. This role presents a unique chance to develop pioneering techniques for lucrative trading in international markets while collaborating with a top-tier team of technologists, researchers, and finance professionals. If you possess a passion for innovation, a commitment to learning from industry leaders, and a determination to make a substantial impact in the financial sector, we encourage you to consider this opportunity.

Position Overview

Essential Qualifications

  • Exceptional academic performance and a technical degree from a prestigious institution in mathematics, statistics, physics, engineering, computer science, or other quantitative disciplines.
  • Proven experience in creating effective quantitative models.
  • Proficiency in numerical and statistical tools necessary for deriving signals from market data.
  • Demonstrated analytical capabilities and a strong inclination towards innovation.
  • Genuine interest in finance, investment strategies, and statistical modeling.
  • Business-oriented mindset.
  • Excellent communication abilities.
  • Willingness to work from the office three times a week.

Preferred Qualifications

  • Notable achievements in mathematics, physics, informatics, or computer science competitions.
  • Advanced degree from a leading program.
  • Experience in high-frequency trading.
  • Background in developing models that include transaction cost analysis.
  • Remarkable personal projects that showcase intellectual curiosity and creativity.
Additional Details

This position is based in a hybrid work environment, requiring in-office attendance three days a week.