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обновлено 2 месяца назад

Quantitative Researcher

250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US

Описание вакансии

Текст:
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TL;DR

Quantitative Researcher: Researching and developing systematic trading strategies across multiple asset classes with an accent on advanced statistical methods, high-frequency data analysis, and algorithmic trading. Focus on designing quantitative models, signal generation, risk management, and portfolio optimization in a fast-paced trading environment.

Location: Chicago, United States (onsite)

Salary: $250,000 + bonus

Company

Leading proprietary trading firm focused on leveraging advanced statistical methods and technology to capture opportunities in global markets.

What you will do

  • Research and develop systematic trading strategies across equities, futures, and options.
  • Analyze large, high-frequency datasets to identify inefficiencies and alpha-generating signals.
  • Design and implement quantitative models for signal generation, risk management, and portfolio optimization.
  • Collaborate with traders, engineers, and researchers to refine strategies in a fast-paced environment.
  • Conduct backtesting and performance evaluation using robust statistical techniques.
  • Stay updated with academic and industry research to drive innovation.

Requirements

  • Must have a PhD or Master’s degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or related disciplines.
  • Exceptional programming skills in Python, C++, or similar languages.
  • Strong understanding of probability, statistics, optimization, and time series analysis.
  • Experience in signal generation, statistical arbitrage, or high-frequency trading.
  • Ability to thrive in a collaborative, intellectually curious environment.

Nice to have

  • Experience at hedge funds, proprietary trading firms, or quantitative research labs.
  • Familiarity with real-time data, tick-level analysis, or exchange microstructure.
  • Knowledge of machine learning techniques applied to financial data.

Culture & Benefits

  • Work with top-tier talent in a meritocratic environment.
  • Access to vast data resources and high-performance infrastructure.
  • Competitive compensation including base salary, performance bonuses, and benefits.
  • Supportive culture valuing innovation, transparency, and continuous learning.