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Posted February 4, 2022

Quantitative Researcher (Mid-Freq)

Hudson River Trading

Category:Quantitative Research

Location:New York

Seniority
Medior
Employment type
Full-time
Salary (per year)
$175k–$300k
Bonus
Yes

Requirements

  • 3+ years of prior work experience in stat-arb required
  • Degree in a quantitative or technical discipline (e.g. statistics, computer science, physics, mathematics, economics)
  • Exceptional academic credentials
  • Demonstrated ability to conduct research using large noisy real-world datasets
  • Exceptional attention to detail and desire to understand issues deeply
  • Outstanding work ethic and ability to thrive in a fast-paced environment
  • Strong numerical programming skills, including proficiency in Python for data analysis and machine learning
  • Interest and experience in programming are essential

About the role

HRT is seeking quantitative researchers to join our effort in developing mid-frequency systematic trading strategies. Candidates will apply rigorous statistical methods on a wide range of datasets and implement trading models based on novel predictions of market behavior, all while leveraging HRT’s world-class research and trading infrastructure.

Successful candidates will be part of a growing effort and have the opportunity to contribute to all aspects of strategy development, including alpha generation, portfolio construction/optimization and trade execution algorithms. Researchers are responsible for not only prototyping and conducting research into various strategy components, but also writing code to productionalize their ideas; thus, interest and experience in programming are essential.

HRT employees enjoy a collegial and non-siloed environment; candidates will work closely with other researchers to develop new ideas and refine existing trading models.

Responsibilities

  • Apply rigorous statistical methods on a wide range of datasets
  • Implement trading models based on novel predictions of market behavior
  • Contribute to all aspects of strategy development, including alpha generation, portfolio construction/optimization and trade execution algorithms
  • Prototype and conduct research into various strategy components
  • Write code to productionalize their ideas
  • Work closely with other researchers to develop new ideas and refine existing trading models

What you'll get

  • $175k–$300k base salary
  • discretionary performance-based bonuses
  • a competitive benefits package

Skills

Python · C++ · data analysis · machine learning · numerical programming · stat-arb · statistics