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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Stealth | Remote | $150k - $200k | |||
Crypto.com | United States | $120k - $166k | |||
Gauntlet | New York, NY, United States | $160k - $200k | |||
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 | |||
Paradex | New York, NY, United States | $72k - $77k | |||
Paradigm | New York, NY, United States | $89k - $100k | |||
Token Metrics | Panama City, Panama | $89k - $102k | |||
Token Metrics | Jakarta, Indonesia | $89k - $102k | |||
Token Metrics | Casablanca, Morocco | $89k - $102k | |||
Token Metrics | Cairo, Egypt | $89k - $102k | |||
Token Metrics | Remote | $89k - $102k | |||
Token Metrics | Remote | $89k - $102k | |||
Token Metrics | Bratislava | $89k - $102k | |||
Token Metrics | Lagos, Nigeria | $89k - $102k | |||
Token Metrics | Mumbai, India | $89k - $102k |
Stealth
$150k - $200k
This job is closed
Quantitative Researcher in Systematic Crypto Hedge Fund
About Us
We are a dynamic and forward-thinking systematic hedge fund that leverages automated trading and risk management systems towards trading strategies within the crypto sphere. The Fund managers bring strong crypto expertise as portfolio managers building strategies in the space since 2018.
The Role
As a Quantitative Researcher here, you'll play an integral role in the development, refinement and implementation of our tech and data-driven strategies to continuously enhance our trading systems. More specifically, you will spearhead the discovery of short-term alpha signals and collaborate closely with the team from idea to implementation.
Responsibilities
- Develop and deploy high-frequency trading signals based on market analysis and statistical models.
- Effectively communicate on research and supporting models.
- Conduct rigorous back-testing and simulations to validate strategies.
- Collaborate with traders and software engineers to integrate new research into our trading infrastructure.
- Continuously refine strategies to optimize trading performance.
Qualifications
- Advanced degree in Mathematics, Statistics, Quantitative Finance, or related field.
- 3+ years experience in quantitative research, preferably in an HFT context.
- Strong programming skills.
- Deep understanding of statistical models and financial markets.
- Strategic thinking and strong analytical problem-solving skills.
- Effective communicator.
- Ability to deliver independently in a fast-paced, collaborative environment.
- The ideal candidate should be highly motivated, hard-working, and have the highest level of integrity.
- Crypto experience is a plus, but not required.
We Offer
- Competitive compensation including equity potential and great benefits.
- A unique opportunity to work in the rapidly evolving and dynamic crypto market on the buy-side.
- Access to cutting-edge technology and proprietary systems.
- An entrepreneurial, close-knit team culture.
- Work alongside a small team of talented and passionate professionals.
- Flexible workplace model (hybrid or remote).
About Us
We are a dynamic and forward-thinking systematic hedge fund that leverages automated trading and risk management systems towards trading strategies within the crypto sphere. The Fund managers bring strong crypto expertise as portfolio managers building strategies in the space since 2018.
The Role
As a Quantitative Researcher here, you'll play an integral role in the development, refinement and implementation of our tech and data-driven strategies to continuously enhance our trading systems. More specifically, you will spearhead the discovery of short-term alpha signals and collaborate closely with the team from idea to implementation.
Responsibilities
- Develop and deploy high-frequency trading signals based on market analysis and statistical models.
- Effectively communicate on research and supporting models.
- Conduct rigorous back-testing and simulations to validate strategies.
- Collaborate with traders and software engineers to integrate new research into our trading infrastructure.
- Continuously refine strategies to optimize trading performance.
Qualifications
- Advanced degree in Mathematics, Statistics, Quantitative Finance, or related field.
- 3+ years experience in quantitative research, preferably in an HFT context.
- Strong programming skills.
- Deep understanding of statistical models and financial markets.
- Strategic thinking and strong analytical problem-solving skills.
- Effective communicator.
- Ability to deliver independently in a fast-paced, collaborative environment.
- The ideal candidate should be highly motivated, hard-working, and have the highest level of integrity.
- Crypto experience is a plus, but not required.
We Offer
- Competitive compensation including equity potential and great benefits.
- A unique opportunity to work in the rapidly evolving and dynamic crypto market on the buy-side.
- Access to cutting-edge technology and proprietary systems.
- An entrepreneurial, close-knit team culture.
- Work alongside a small team of talented and passionate professionals.
- Flexible workplace model (hybrid or remote).
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.