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|---|---|---|---|---|---|
GSR | London, United Kingdom |
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GSR | New York, NY, United States | $36k - $60k | |||
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GSR
This job is closed
Front Office Quantitative Analyst (must have Monte-Carlo and Derivatives experience)
Mayfair, Greater London /
Trading – Quantitative Analytics /
Full time
/ Hybrid
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About us:
Founded in 2013, GSR is a crypto market maker with more than 300 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 60 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, Citadel, and Tower Research among others, has developed one of the world’s fastest and 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.
What we offer:
A collaborative and transparent company culture founded on Integrity, Innovation and Performance. Competitive Salary with two discretionary bonus’ payments a year. Benefits include Healthcare, Dental, Vision, Retirement Planning, 30 days holiday and free lunches when in the office.
Hybrid working pattern in all of our offices from London, New York, Singapore, Zug and Malaga.
Regular Town Halls and off-sites, team lunches and drinks.
Comprehensive Corporate and Social Responsibility programs including matching charity fundraising and volunteer days.
GSR is proudly an Equal Employment Opportunity employer. We do not discriminate based upon any applicable legally protected characteristics such as race, religion, colour, country of origin, sexual orientation, gender, gender identity, gender expression or age. We operate a meritocracy, all aspects of people engagement from the decision to hire or promote as well as our performance management process will be based on the business needs and individual merit, competence in the role.
Learn more about us at www.gsr.io.
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What do quantitative analyst do?
A quantitative analyst, also known as a 'quant', is a professional who uses quantitative techniques to develop and implement financial models, analyze data, and make investment decisions
Quants are typically employed by financial institutions such as hedge funds, investment banks, and asset management firms
In Web3 quantitative analysts can leverage their expertise in data analysis and modeling to inform investment decisions and help build new decentralized systems and applications
The job of a quantitative analyst can vary depending on the employer and industry, but generally, they use mathematical and statistical models to analyze financial data and make informed investment decisions
They may use programming languages like Python, R, or MATLAB to develop these models
Some specific tasks that a quantitative analyst may be responsible for include:
- Analyzing financial data and identifying patterns and trends.
- Developing and testing mathematical models to predict financial market behavior.
- Designing and implementing trading strategies based on quantitative analysis.
- Decentralized finance (DeFi) analysis: Quants can analyze various decentralized financial protocols to identify opportunities for investment and assess risks associated with these protocols. They may develop models to predict the behavior of decentralized financial instruments and evaluate their performance.
- Cryptocurrency market analysis: Quants can analyze cryptocurrency markets and identify patterns and trends that may be used to inform trading strategies. They can also develop models to predict the price movements of cryptocurrencies based on various factors such as supply and demand, market sentiment, and adoption rates.
- Smart contract analysis: Smart contracts are self-executing contracts with the terms of the agreement directly written into code. Quants can analyze smart contract code to identify potential vulnerabilities and assess the risk associated with the execution of the contract.
- Web3 data analysis: Quants can analyze data from various Web3 platforms and protocols to identify trends and make informed decisions. This may involve developing new techniques for analyzing decentralized data, such as utilizing data from on-chain transactions to gain insights into user behavior and network activity.