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:
📍Creating new and analysing existing models for derivative pricing 📍You will be working to develop data driven solutions for algorithmic trading strategies, (high to low frequency), trading signals, risk models and categorisation of flow, which will be combined in the trading process. 📍Quant research and strategy development to implement new trading strategies, predominantly options focused. You will be require to research and build libraries, create and evaluate strategies and analyse performance data - all with the view of driving trading decision-making in a data driven manner. 📍Support the trading desk to maximise revenue by delivering analytics across business lines 📍Work on pricing framework, model validation, internal model changes and contribute to regulatory requirements
Your Profile:
📍Strong background in using numerical methods including Monte-Carlo, Stochastic Calculus for vanilla & exotic derivative valuations. 📍Familiarity with all major derivative products past and present in equity, rates, fx or commodity markets. Particularly options. 📍Strong work ethic and accountability. 📍Understanding of back-testing and out of sample testing methodologies. 📍Solid understanding of volatility products and vol surface modeling. 📍Strong programming in C++ 17/20 or Rust, Python. 📍Excellent analytical, communication and presentation skills. 📍PhD or graduate degree educated in a quantitative field (Physics, Maths, Financial Engineering). 📍Prior experience of 2-5 years as a quant or a systematic researcher.
