Quantitative Researcher Jobs in Web3

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Job Position Company Posted Location Salary Tags

Arrakis.fi

Remote

Harrington Starr

New York, NY, United States

$200k - $250k

Animoca Brands Limited

Hong Kong, Hong Kong

$22k - $52k

Flow Traders

Amsterdam, Netherlands

$77k - $95k

Tokemak

Remote

$200k - $300k

Monad Labs

New York, NY, United States

$74k - $100k

InfiniteQuant

New York, NY, United States

$72k - $96k

Kronos Research

remote

$28k - $33k

Drift Protocol

Australia

$120k - $170k

InfiniteQuant

New York, NY, United States

$72k - $96k

Tokemak

Remote

$200k - $300k

Snowfork huB

Remote

$105k - $108k

Snowfork

United States

$105k - $108k

Gauntlet

Los Angeles, CA, United States

$150k - $180k

Gauntlet

Remote

$150k - $180k

Blockchain Engineer R D

Arrakis.fi

This job is closed

Arrakis aims to disrupt the current market-making industry by providing the infrastructure to enable every project in the world that wants to launch a token to benefit from non-custodial, trust-less, and automated on-chain market-making strategies. We believe in a world where every organization, from a small startup to a large enterprise, will be tokenized and traded on-chain. For this world, Arrakis is building the tools to create the necessary liquidity to enable this token economy to rival and out-compete the traditional financial industry.

As Blockchain Engineer R&D, you will bridge together the academic research and engineering worlds. You will lead our research team to guide Arrakis through all the academic progress in DEX designs and optimal liquidity strategies. You will write academic papers and present your research internally and in international conferences. Also, you will work with our engineering team to improve our existing infrastructure as well as producing new components to expand our capabilities.

What you’ll accomplish

Primary Tasks:

  • Write research papers and whitepapers of future Arrakis products
  • Create comprehensive presentations for internal discussions and for talks in research conferences
  • Work closely with our CTO on technical specifications and protocol designs
  • Design and implement automated strategies for liquidity provision
  • Train and backtest Machine Learning models
  • Design, build and test smart contracts, including Uniswap V4 Hooks

Secondary Tasks:

  • Perform internal auditings of smart contracts
  • Collaborate with the frontend team to integrate smart contracts to a UI
  • Work with the backend team to monitor automated strategies 


Requirements:

Academic requirements:

  • PhD in Mathematics or Quantitative Finance
  • Solid academic track, with research publications in top journals and talks in international conferences
  • Up to date knowledge of last DeFi research papers and protocols
  • Expertise in Advanced Probability and Stochastic Calculus
  • Theoretical and applied knowledge of Machine Learning/Data Science
  • Experience with LaTeX and Inskcape to write academic papers

Tech requirements:

  • +1 year of experience in Blockchain development (Solidity, Hardhat, Foundry)
  • Blockchain deep understanding, including EVM
  • Deep knowledge of Uniswap V3 and Uniswap V4 smart contracts and libraries
  • Smart Contracts security principles
  • Machine Learning libraries (Python, Tensorflow, PyTorch, Scikit-learn)
  • React, Typescript, Wagmi and Viem for frontend integrations
  • AWS or GCP for backend integrations

Benefits:

Join an amazing team of industry veterans focused on revolutionizing web3 market making, collaborating with major projects like MakerDAO, Uniswap, Aave, Lido, operating fully remotely with members spanning Zug, Paris, New York, Berlin, and San Francisco supported by world-class investors including Uniswap Labs, Robot Ventures, Accel, Longhash, and more.

What we offer:

  • Competitive salary + performance-based compensation
  • Generous SPICE token package
  • Remote work
  • Chance to travel the world to go to exciting events, connecting with key industry players 
  • Join amazing in-person offsites all over the world

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.