Quantitative Researcher Jobs in Web3

41 jobs found

Receive emails of Quantitative Researcher Jobs in Web3
Job Position Company Posted Location Salary Tags

Radley James

United States

Alldus

United States

$120k - $200k

X4 Alpha

New York, NY, United States

Paraform

San Francisco, CA, United States

$120k - $180k

X4 Alpha

New York, NY, United States

Drift Protocol

Remote

$50k - $200k

VegaX Holdings

New York, NY, United States

$0k

Drift Protocol

Remote

$60k - $200k

Altonomy

Singapore, Singapore

Swissblock

Zug, Switzerland

$120k - $220k

Presto

Singapore, Singapore

$36k - $96k

Amber

Hong Kong, Hong Kong

$99k - $205k

Kronos Research

Hong Kong, Hong Kong

$65k - $160k

Wintermute

London, United Kingdom

Kronos Research

Taipei, Taiwan

$31k - $37k

Kronos Research

Hong Kong, Hong Kong

$28k - $94k

OKX

Hong Kong, Hong Kong

$96k - $200k

Gate.io

Remote

$95k - $220k

X4 Alpha

New York, NY, United States

$95k - $145k

Drift Labs

New York, NY, United States

$50k - $180k

Radley James

New York, NY, United States

$80k - $100k

Algo Capital Group

New York, NY, United States

$150k - $200k

X4 Technology

New York, NY, United States

GSR

London, United Kingdom

Anonym

Palo Alto, CA, United States

Radley James
United States US

We are looking for a talented quant researcher to join our DeFi trading team.


In this role, you can expect to work on the bleeding edge of blockchain technology and build trading strategies for the most exciting asset class - cryptocurrencies.


On a given day, you may find yourself

- Studying the nuances of various L1 & L2 blockchains and their consensus mechanisms

- Researching projects across the full DeFi landscape using whitepapers and documentation

- Building research data pipelines across centralized and decentralized exchanges

- Designing delta-neutral and directional trading algorithms utilizing on-chain AMMs, perpetual futures, options, and lending protocols

- Monitoring trading strategy performance and risk parameters

- Adjusting strategy parameters to market conditions in real-time

- Consulting, advising and evaluating the latest projects in the space


You’ll have the freedom and autonomy to explore all things DeFi while working alongside some of the brightest minds in the trading world



Compensation is unprecedented and dependent on experience

When applying, mention the word CANDYSHOP to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they are human RMy4yMzcuMTYuMTczM

⬇

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.