Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
OKX | Hong Kong, Hong Kong | $105k - $150k | |||
B2C2 | Remote | $94k - $110k | |||
OKX | Hong Kong, Hong Kong | $105k - $120k | |||
Stealth | New York, NY, United States | $140k - $150k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Stealth | New York, NY, United States | $140k - $150k | |||
Crypto.com | Coral Gables, Florida | $140k - $180k | |||
KRK Resources, Inc. | New York, NY, United States | $140k - $150k | |||
Stealth | New York, NY, United States | $200k - $250k | |||
Stealth | New York, NY, United States | $89k - $100k | |||
Hex Trust | Hong Kong, Hong Kong | $95k - $154k | |||
Digital Currency Group | Stamford, CT, United States | $90k - $159k | |||
Stealth | New York, NY, United States | $84k - $100k | |||
Tokemak | Remote | $200k - $300k | |||
B2C2 | Remote | $84k - $150k | |||
B2C2 | remote | $90k - $108k |
This job is closed
Who We Are
About the Opportunity
What You’ll Be Doing
- Work closely with senior Quants and Traders to implement analytics libraries used for the pricing of exotic and complex cryptocurrency derivatives
- Develop and optimize pricing models using GPU acceleration
- Utilize and integrate relevant Python libraries such as NumPy, SciPy, Pandas, TensorFlow, PyTorch, CuPy, and so on for numerical computations and data analysis.
- Calibrate volatility models based on the liquid listed options data
- Coordinate with developers to integrate the quant library into the live pricing and risk management system
What We Look For In You
- Education background in quantitative disciplines. Candidates with MSc/PhD background in Math/Physics/Financial Engineering/Computer Science are highly preferred
- Deep understanding in advanced probability theory and stochastic calculus
- Hands on experience with GPU programming and libraries such as CUDA, CuPy, JAX, TensorFlow, or PyTorch and GPU acceleration for Monte Carlo Pricing Experience
- 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
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
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What does a Quantitative trader do?
A Quantitative Trader is a professional who uses quantitative models and statistical analysis to make trading decisions in financial markets
They work for hedge funds, investment banks, proprietary trading firms, and other financial institutions
In Web3, a Quantitative Trader uses quantitative models and statistical analysis to make trading decisions in decentralized finance (DeFi) and other Web3 applications
They work for DeFi protocols, investment funds, and other financial institutions involved in Web3
The job of a Quantitative Trader typically involves the following tasks:
- Developing and testing trading models for DeFi: Quantitative Traders in Web3 develop and test trading models that use statistical analysis, machine learning, and other quantitative techniques to identify profitable trading opportunities in decentralized finance protocols.
- Conducting market research in Web3: Quantitative Traders in Web3 conduct research on decentralized finance protocols, including analyzing on-chain data, tracking current market trends, and assessing the impact of new developments in the ecosystem.
- Managing risk: Quantitative Traders in Web3 manage risk by developing strategies to limit potential losses and control exposure to market volatility in decentralized finance protocols.
- Executing trades: Quantitative Traders in Web3 execute trades based on their models and research findings, using automated trading systems and other tools to maximize efficiency.
- Monitoring performance: Quantitative Traders in Web3 monitor the performance of their trading strategies, making adjustments as needed to optimize profitability in the rapidly changing Web3 ecosystem.