Quantitative Researcher Mid-Freq
@ Hudson River Trading

New York, NY
$250,000
On Site
Full Time
Posted 6 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX****** @hudsonrivertrading.com
Recommended after applying

Job Details

Overview

Hudson River Trading is seeking Quantitative Researchers to join our effort in developing mid-frequency systematic trading strategies. As a Quantitative Researcher Mid-Freq, you will apply rigorous statistical methods on diverse datasets and implement trading models with novel market predictions.

Responsibilities

  • Develop and test mid-frequency trading strategies.
  • Conduct research on alpha generation and portfolio optimization.
  • Prototype and productionalize research ideas into code.
  • Collaborate closely with team members to refine trading models.

Skills & Requirements

  • Minimum 3 years of experience in statistical arbitrage.
  • Degree in statistics, computer science, physics, mathematics, economics or related fields.
  • Exceptional academic credentials and attention to detail.
  • Strong programming skills in Python; C++ experience is a plus.
  • Experience with large, noisy real-world datasets.

Compensation & Culture

The estimated base salary ranges from $175,000 to $300,000 per year, plus performance-based bonuses and a competitive benefits package. HRT offers a collegial, non-siloed work environment with a scientific approach to trading and a culture that values innovation, openness, and collaboration.

Key skills/competency

  • Quantitative Research
  • Statistical Analysis
  • Python
  • C++
  • Alpha Generation
  • Portfolio Optimization
  • Trade Execution
  • Systematic Trading
  • Data Analytics
  • Collaboration
Apply without a personalized resume

How to Get Hired at Hudson River Trading

🎯 Tips for Getting Hired

  • Research Hudson River Trading: Learn HRT's culture and trading methodologies.
  • Customize your resume: Highlight quantitative research and programming skills.
  • Showcase project experience: Demonstrate real-world statistical model successes.
  • Prepare for technical interviews: Practice coding algorithms and market analysis.

📝 Interview Preparation Advice

Technical Preparation

Review statistical algorithms and data analysis.
Practice Python coding and machine learning libraries.
Study C++ fundamentals for production code.
Analyze past trading models and back-testing.

Behavioral Questions

Discuss teamwork on complex projects.
Explain problem-solving in high-pressure settings.
Describe collaboration with cross-functional teams.
Share experience handling project setbacks.

Frequently Asked Questions