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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Tokemak | Remote | $200k - $300k | |||
Monad Labs | New York, NY, United States | $74k - $100k | |||
Stealth | New York, NY, United States | $89k - $100k | |||
Qube Research & Technologies | Remote | $140k - $180k | |||
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Kronos Research | Taipei, Taiwan | $27k - $67k | |||
Kronos Research | Taipei, Taiwan | $63k - $75k | |||
Stargaze Finance | Remote | $30k - $75k | |||
InfiniteQuant | New York, NY, United States | $72k - $96k | |||
Crypto.com | Singapore, Singapore | $106k - $165k | |||
Hex Trust | Hong Kong, Hong Kong | $95k - $154k | |||
Ripple | London, United Kingdom | $64k - $86k | |||
Kronos Research | remote | $28k - $33k | |||
Kronos Research | remote | $9k - $11k | |||
Gate.io | ASIA | $84k - $100k | |||
Ethena Labs | Remote | $150k - $200k |
Tokemak
$200k - $300k
This job is closed
Tokemak (tokemak.xyz) is a venture backed Web3 protocol designed to optimize yield across different DEXs and Liquid Staking Tokens. Tokemak is preparing to release Autopilot, which optimizes deployments of assets and auto-compounds the assets, saving users time and gas costs.
Tokemak is backed by investors at Coinbase, Consensys, Electric Capital, Framework, and more.
As a Senior Quantitative Engineer, you will help Tokemak build the future of investing within Web3/crypto.
What you'll do:
Tokemak is backed by investors at Coinbase, Consensys, Electric Capital, Framework, and more.
As a Senior Quantitative Engineer, you will help Tokemak build the future of investing within Web3/crypto.
What you'll do:
- Build and run advanced financial simulations and predictive models
- Perform backtesting, scenario analysis, and simulations
- Build pricing simulations using complex financial derivatives
- Assist with portfolio optimization
- Advise on financial risk measurement and management
Who you are:
- Proven experience as a Data Scientist using experimentation methods and advanced statistical modeling to drive product development.
- 3+ years experience with Python and/or R development
- Experience using Python data analytics libraries (e.g. pandas and web3 library)
- Experience in quantitative analytics / financial research, risk, and modeling
- Passionate about crypto markets
- Experience with Solidity smart contract development nice to have
- Advanced training in Applied Math, Engineering, Statistical Modeling, Calculus, Computer Science, or related disciplines required (bachelor's, master's, Ph.D.)
Why Work with us?
- You'll have a massive impact by solving challenging problems
- You'll work with a small and exceptional results driven team
- You'll receive a competitive compensation package with flexible paid time off
What is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.