Quantitative Researcher Jobs in Web3

74 jobs found

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Job Position Company Posted Location Salary Tags

Snowfork

United States

$105k - $108k

Gauntlet

Los Angeles, CA, United States

$150k - $180k

Gauntlet

Remote

$150k - $180k

Kronos Research

Taipei, Taiwan

$89k - $102k

Injective Labs

East Coast Time Zone

$84k - $120k

Swissblock

Zug, Switzerland

$84k - $110k

Presto

Singapore, Singapore

$32k - $86k

Amber

Hong Kong, Hong Kong

$89k - $102k

Kronos Research

Hong Kong, Hong Kong

$58k - $80k

Kronos Research

Hong Kong, Hong Kong

$25k - $85k

OKX

Hong Kong, Hong Kong

$86k - $100k

Alldus

United States

$84k - $100k

Gate.io

Remote

$85k - $110k

X4 Alpha

New York, NY, United States

Paraform

San Francisco, CA, United States

$120k - $180k

Snowfork
$105k - $108k estimated
IL Time US
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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.
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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Apply Now

What does a Quantitative Researcher do?

A Quantitative Researcher is a professional who conducts research in the field of finance, economics, or related fields using quantitative methods such as statistical analysis and mathematical modeling

They typically work in the financial industry, including investment banks, hedge funds, and asset management firms

The job of a Quantitative Researcher can vary depending on the employer and industry, but generally, they use quantitative techniques to analyze financial data and develop models that can be used to make investment decisions

A Quantitative Researcher in Web3 is a professional who conducts research using quantitative methods in the context of decentralized finance (DeFi) and other Web3 applications

They work to understand the behavior of decentralized systems and develop models that can be used to optimize investment strategies

Some specific tasks that a Quantitative Researcher may be responsible for include:

  1. Developing models for decentralized finance: Quantitative Researchers in Web3 may develop mathematical models and algorithms that can be used to analyze decentralized financial systems, such as decentralized exchanges (DEXs), lending protocols, and prediction markets. These models may be used to assess risk, predict market behavior, and optimize investment strategies.
  2. Conducting on-chain data analysis: Quantitative Researchers in Web3 analyze on-chain data from decentralized platforms to understand user behavior and network activity. They may use statistical techniques such as regression analysis and machine learning to analyze this data and identify patterns that can be used to inform investment strategies.
  3. Writing research reports: Quantitative Researchers in Web3 write reports summarizing their research findings and recommendations for investment strategies. These reports may be used by traders, portfolio managers, and other decision-makers within the organization.
  4. Collaborating with other teams: Quantitative Researchers in Web3 may work closely with other teams within the organization, such as developers, quants, and traders, to develop and implement investment strategies that leverage their research insights.