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GSR Markets
Quantitative Trading Researcher
15 days ago | 60 views | Be the first one to apply

Quantitative Trading Researcher

Full-time
New York
Per year
$125,000 To $175,000

About the company

Founded in 2013, GSR is a leading market-making and programmatic trading company in the exciting and fast-evolving world of cryptocurrency trading. With more than 200 employees in 5 countries, we provide billions of dollars of liquidity to cryptocurrency protocols and exchanges on a daily basis. We build long-term relationships with cryptocurrency communities and traditional investors by offering exceptional service, expertise and trading capabilities tailored to their specific needs. GSR works with token issuers, traders, investors, miners, and more than 30 cryptocurrency exchanges around the world. In volatile markets we are a trusted partner to crypto native builders and to those exploring the industry for the first time. Our team of veteran finance and technology executives from Goldman Sachs, Two Sigma, and Citadel, among others, has developed one of the world’s most robust trading platforms designed to navigate issues unique to the digital asset markets. We have continuously improved our technology throughout our history, allowing for our clients to scale and execute their strategies with the highest level of efficiency. Working at GSR is an opportunity to be deeply embedded in every major sector of the cryptocurrency ecosystem.

Job Summary

Responsibilities:

📍Monitor systematic options market making strategy 📍Conduct pnl benchmarking and toxicity analysis to optimize the pnl of the strategy 📍Develop new features using statistical techniques 📍Coordinate with internal and external teams to push out new features and expand the business

Your Profile:

📍A Masters degree in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, or a related technical field. 📍Post Grad financial mathematics 📍Strong Data Analysis and Risk Management experience 📍Strong Quantitative Research background 📍Experience writing code to process and analyze large sets of data, Python 📍Proficiency in software development and engineering principles

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