Quantitative Jobs in Web3

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Job Position Company Posted Location Salary Tags

Kronos Research

Hong Kong, Hong Kong

$25k - $85k

GSR

London, United Kingdom

$81k - $189k

Ripple

London, United Kingdom

$27k - $45k

Injective Labs

New York, NY, United States

$36k - $85k

Kronos Research

Hong Kong, Hong Kong

$58k - $80k

Kronos Research

Hong Kong, Hong Kong

$72k - $91k

Kronos Research

Shenzhen, China

$25k - $85k

CoinDesk

New York, NY, United States

$108k - $147k

Relative Finance

Remote

$70k - $200k

OKX

Hong Kong, Hong Kong

$81k - $100k

Kronos Research

remote

$9k - $11k

Ripple

London, United Kingdom

$15k - $67k

Ripple

London, United Kingdom

$81k - $100k

Ripple

London, United Kingdom

$81k - $100k

GammaSwap Labs

Remote

$200k - $300k

Quantitative Researcher Trader DeFi event driven

Kronos Research
$25k - $85k estimated

This job is closed

* This role requires to be located in Hongkong *

Job Description

Kronos is seeking experienced Quantitative Traders with a passion for DeFi trading and a desire to join a reputable fund to continue managing their own desk with related P&L responsibilities. As a Quantitative Trader at Kronos, you will be involved in researching, implementing, and executing strategies, and automating them where applicable.

Responsibilities

  • Utilize your creativity and research skills to discover new opportunities for MEV
  • Stay up to date with new developments in the DeFi space to create new strategies and enhance existing ones
  • Conduct research on potential investments, including reviewing app documentation and smart contract audits, and asking critical questions to founders
  • Identify and propose compelling investment opportunities for review and decision making
  • Collaborate with other teams to develop and execute trading strategies

Requirements

  • Knowledge of the DeFi and Web 3.0 ecosystem, able to implement smart contracts at a fast pace (test required)
  • Knowledge of DeFi NFT ecosystem
  • An MSc / PhD from a top-tier university in a research-intensive STEM field (Computer Science, Statistics, Mathematics, Physics, Engineering, etc.)
  • A passion for developing quantitative trading strategies as well as analyzing and drawing conclusions from large datasets
  • At least 3 years of experience in DeFi electronic trading, with a focus on cryptocurrency
  • Strong coding skills essential – at least 3 to 5 years of experience coding in Python, Golang, Matlab, or R is required (test required)
  • Experience in algorithmic trading, whether personal or professional, is essential
  • Excellent analytical and problem-solving skills
  • Ability to work independently and as part of a team
  • Excellent communication and interpersonal skills

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:

  1. Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
  2. Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
  3. Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
  4. Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
  5. Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.