Global Trading Systems, LLC

Quantitative Researcher, International ETFs

Global Trading Systems, LLC$225K — $300K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in quantitative research or trading, focusing on international equities or ETFs.
  • Proven ability to model securities across various timeframes, from intraday to multi-day.
  • Expertise in developing robust pricing or forecasting models from the ground up.
  • Strong proficiency in Python and experience with production-quality research tools.
  • In-depth understanding of global market dynamics including trading hours and currency fluctuations.
  • Solid background in statistics and empirical research methodologies.
  • Bachelor's, master's, or doctoral degree in a quantitative field.

Responsibilities

  • Research and develop quantitative models for trading and risk management in international equity and ETF markets.
  • Analyze complex datasets to uncover patterns using statistical methods.
  • Design research methodologies to improve model performance across market environments.
  • Work with traders to implement research findings into live trading systems.
  • Monitor and refine live model performance based on real-world data.
  • Set research priorities and uphold high standards for research quality and communication.

Benefits

  • Comprehensive Medical, Dental, and Vision coverage with significant employer contribution.
  • 401k plan with employer matching.
  • Daily Meal Allowance and snacks provided at the office.
  • Corporate membership rates for Equinox gym.
  • Casual dress code and access to office game room.
  • Hybrid work schedule allowing one day of remote work per week.
Full Job Description
Overview

The International ETF team at GTS is seeking a Senior Quantitative Researcher to develop the pricing, forecasting, and risk models that power our global trading business.

 

Our team makes markets and manages risk across equity products spanning dozens of countries, time zones, and currencies. Working closely with traders and quantitative developers, you will build models from first principles, deploy them into production, and measure their impact on live trading.

 

This is an opportunity to take meaningful ownership of research direction and help shape how the desk prices securities, manages risk, and identifies opportunities across international markets.

 

Responsibilities
  • Research and develop quantitative models supporting trading and risk management across international equity and ETF markets.
  • Analyze large, complex datasets to identify patterns and opportunities using statistical and computational techniques.
  • Design rigorous research methods to evaluate new ideas and improve model performance across different market environments.
  • Collaborate with traders and quantitative developers to translate promising research into production systems.
  • Monitor the performance of live models and refine them based on empirical results.
  • Contribute to the desk’s research priorities and promote high standards for research quality, reproducibility, and communication.
Qualifications
  • 5+ years of relevant quantitative research or trading experience, ideally in international equities or ETFs.
  • Demonstrated success modeling securities over intraday through multi-day horizons.
  • The ability to build pricing or forecasting frameworks from the ground up.
  • Strong Python skills and experience turning research into reliable production tools.
  • Deep knowledge of global market structure, including trading hours, auctions, currency dynamics, and local market conventions.
  • A strong foundation in statistics, data analysis, and empirical research methods.
  • A bachelor’s, master’s, or doctoral degree in a quantitative discipline.
  • Excellent judgment, attention to detail, communication skills, and a strong bias toward ownership and automation.

Preferred Qualifications

  • Experience with ETF market making or index-rebalance strategies.
  • Familiarity with corporate actions and cross-listed securities, including ADRs and GDRs.
  • Experience modeling or managing overnight and multi-day risk.
  • Familiarity with portfolio construction, transaction costs, and capital constraints.
  • Effective use of AI-assisted development tools—such as Claude Code, Cursor, or GitHub Copilot—to accelerate research and development.

We're proud to employ leading talent in the industry and work to ensure our employees enjoy a high quality of life. 

 

Please note: The use of AI tools during interviews is strictly prohibited, unless explicitly agreed upon.  

 

In accordance with New York City's Pay Transparency Law, the base salary range for this role is $225,000 to $300,000. Base salary does not include other forms of compensation or benefits. 

 

Benefits: 

Core Benefits: Medical, Dental, and Vision coverage with generous employer contribution for employees and dependents. 401k match. 

Perks: Daily Meal Allowance, Equinox Corporate Membership Rate, Snacks, Office Game Room, Casual Dress. 

Hybrid Work Policy: 4 Days a Week in office, Fridays can be worked from home. 

 

 

Unsolicited resumes: 

We do not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with GTS. 

About Global Trading Systems, LLC

Global Trading Systems (GTS) is a leading electronic market maker, trading in equities, futures, options, currencies, and fixed income. The company was founded in 2006 by Ari Rubenstein and is headquartered in New York City. GTS uses proprietary algorithms and cutting-edge technology to provide liquidity to markets around the world. The company has a strong focus on innovation and has developed a number of industry-leading trading platforms. GTS is committed to diversity and inclusion and has implemented a number of initiatives to promote these values. The company has won numerous awards for their technology and trading capabilities.
Learn more about Global Trading Systems, LLC
Size
200 employees
Industry

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