Web3 Jobs with Distributed team

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Job Position Company Posted Location Salary Tags

Snowfork huB

Remote

$105k - $108k

Snowfork

United States

$105k - $108k

Anchorage Digital

United States

$162k - $230k

Subspace Labs

Remote

$63k - $66k

Swan

Remote

$13k - $22k

Subspace Labs

Remote

$122k - $150k

IOVLabs

Remote

$33k - $75k

Polygon Labs

Remote

$87k - $110k

CoinTracker

Remote

$125k - $300k

Volume

Remote

$36k - $70k

NEAR Foundation

Zug, Switzerland

$88k - $156k

Exodus Movement Inc.

Remote

$63k - $117k

Exodus Movement Inc.

Remote

$84k - $156k

Polygon Labs

Bengaluru, India

$63k - $120k

Unit 410

Austin, TX, United States

$57k - $60k

Quantitative Researcher GT

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. 

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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