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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
OKX | Hong Kong, Hong Kong | $87k - $2k | |||
CoinList | London, United Kingdom |
| |||
Coin Metrics | Chicago, IL, United States | $105k - $111k | |||
CoinList | San Francisco, CA, United States | $32k - $92k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Mythical Games | Los Angeles, CA, United States | $36k - $60k | |||
GSR | London, United Kingdom | $36k - $60k | |||
GSR | New York, NY, United States | $36k - $60k | |||
GSR | New York, NY, United States | $36k - $60k | |||
GSR | London, United Kingdom | $36k - $60k | |||
BitMEX | Hong Kong, Hong Kong | $105k - $111k |
OKX
$87k - $2k estimated
This job is closed
About OKX:
OKX is a world-leading digital asset trading platform, providing advanced financial services to traders globally by using blockchain technology. OKX provides hundreds of token & futures, options, and structured products in cryptocurrency space, offering the widest ranges of instruments. OKX derivatives remains a top-notch venue globally and has a daily volume of dozens of billions and is widely recognized as the golden standard in the industry. Empowered by the industry-leading risk management system, OKX is a trusted global marketplace that keeps providing stable and sustainable trading services to millions of users in over 100 countries.
We believe the blockchain technology will eliminate barriers to transactions, increase the efficiency of transactions across society, and eventually have a significant impact on the global economy. We strive to make innovative achievements that change the world and never stop to improve on our customer experience.
What we offer:
- An opportunity to work at a world leading blockchain company
- Team with experts from Goldman/JP Morgan/Nomura Securities/Credit Suisse/Alipay/Tencent/Facebook
- Play an important role in making a difference in financial markets every day
- The chance to transform the industry and to be part of the next global financial markets breakthrough
- Join one of the most trusted and fastest-growing exchange with dozens of billions daily trading volume, serving more than 10 million customers globally
- Flat organizational structure enabling you to grow fast with help from leaders and senior colleagues
- Very competitive remuneration package
How the daily work looks like:
- Implement analytics libraries for the risk management team to measure the risk of vanilla and structured cryptocurrency derivatives including mark price, liquidation thresholds, etc
- Develop quantitative models using numerical techniques such as Monte Carlo Methods, PDE solvers to evaluate different types of derivatives under different models, such as the Stochastic Local Volatility Model, the SABR model, and the Jump-diffusion model to gauge risk under different market conditions
- Coordinate with developers to integrate the quant library into the exchange's risk management system
Ideal candidate must have:
- Solid STEM (Science/Technology/Engineering/Mathematics) education background. Candidates with MSc/PhD background in Math/Physics/Financial Engineering/Computer Science are highly preferred
- Deep understanding in advanced probability theory and stochastic calculus
- Fluent with at least one OOP language, preferably in Java. Knowledge in Python and its related library is a plus
- Experience in numerical methods such as Monte Carlo Methods, PDE solvers, and lattice methods
- Familiarity with stochastic volatility models/jump-diffusion models and their implementations is a plus
- Willing to learn all aspects of trading products in financial and cryptocurrency markets, including vanilla and exotic product
Nice to have:
- Familiarity with blockchain and cryptocurrency exchanges
- Leading company experience
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.