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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Snowfork huB | Remote | $105k - $108k | |||
Snowfork | United States | $105k - $108k | |||
Coins.ph | Shanghai, China | $25k - $100k | |||
Gauntlet | Los Angeles, CA, United States | $150k - $180k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Gauntlet | Remote | $150k - $180k | |||
Kronos Research | Taipei, Taiwan | $89k - $102k | |||
Injective Labs | East Coast Time Zone | $84k - $120k | |||
B2C2 | Remote | $84k - $150k | |||
Binance | Asia |
| |||
Nogle | Multi-area | $106k - $111k | |||
FalconX | remote | $94k - $166k | |||
Keyrock | Brussels, Belgium | $72k - $100k | |||
Ripple | London, United Kingdom | $21k - $118k | |||
Nethermind | London, United Kingdom | $32k - $92k | |||
Ava Labs | New York, NY, United States | $99k - $140k |
Snowfork huB
$105k - $108k estimated
This job is closed
Quantitative Researcher - GT
Remote - PST time zone (4 - 6 hour overlap) /
General /
Full Time
/ Remote
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We handle DeFi’s risk manager. We drive capital efficiency while maintaining economic safety for some of the largest crypto protocols with our simulations. We manage risk and incentives for over $40 Billion in assets.
We continuously publishes cutting-edge research, making us the most cited peer-reviewed articles in the DeFi industry. We’re a Series B company with ~60 employees operating remote-first with a home base in New York City.Â
Our mission is to help make blockchain protocols and smart contracts safer and more trustworthy for users. Building decentralized systems creates new challenges for protocol developers, smart contract developers, and asset holders that are not seen in traditional development and investing.
We are building a blockchain simulation and testing platform that leverages battle-tested techniques from other industries to emulate interactions in crypto networks. Simulation provides transparency and greatly reduces the cost of experimentation so that teams can rapidly design, launch, and scale new decentralized systems.
Responsibilities:
- Conduct quantitative research, utilizing a broad range of methods and sophisticated data analytics tools to develop statistical models and improve strategies.
- Work closely with cross-functional teams to understand their data requirements, ensure the data integrity, and offer analytical support.
- Develop predictive models and machine learning algorithms, interpreting the outcomes and providing actionable insights to the business stakeholders
- Present research findings and data insights to non-technical stakeholders in a clear, concise, and accessible way.
- Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in quantitative research and data analysis
- Assist in designing and implementing new data models and algorithms, improving the overall effectiveness of our quantitative research efforts.
Qualifications:
- Solid experience in quantitative research or a related role, preferably within the Financial Services industry and ideally quant trading.
- Strong proficiency in programming languages such as Python, R, SQL, or Matlab.
- Excellent understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Strong problem-solving skills, coupled with attention to detail and a genuine interest in deriving insights from data.
- Excellent verbal and written communication skills to effectively articulate findings and insights to team members and stakeholders.
- Ability to work independently and within a team, manage multiple projects and meet deadlines.
- Strong communication skills and the ability to work collaboratively in a distributed team environment
Benefits and Perks:
- Remote first - work from anywhere in the US & CAN!
- Regular in-person company retreats and cross-country "office visit" perk
- 100% paid medical, dental and vision premiums for employees
- Laptop, monitor, keyboard and mouse setup provided
- $1,000 WFH stipend
- Monthly reimbursement for home internet, phone, and cellular data
- Unlimited vacation
- 100% paid parental leave of 12 weeks
- Fertility benefits
- Opportunity for incentive compensation
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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.