Quantitative Jobs in Web3

290 jobs found

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Job Position Company Posted Location Salary Tags

Numus

Remote

$105k - $120k

Qube Research & Technologies

Remote

$64k - $85k

Token Metrics

Barcelona, Spain

$89k - $102k

Stealth

New York, NY, United States

$200k - $250k

Cyber Capital

Amsterdam, Netherlands

$105k - $108k

Keyrock

Brussels, Belgium

$72k - $85k

Swissblock

Baar ZG

$90k - $100k

InfiniteQuant

New York, NY, United States

$72k - $120k

Keyrock

London, United Kingdom

$105k - $150k

Binance

Asia

Kronos Research

Singapore, Singapore

$84k - $100k

Impossible Cloud

Hamburg, Germany

$90k - $90k

Kronos Research

Taipei, Taiwan

$79k - $106k

Syndr

Delhi, India

$103k - $112k

Blockworks

New York, NY, United States

$81k - $91k

Numus
$105k - $120k estimated
Remote
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We are looking for a Quantitative Researcher who can help us develop alpha through systematic trading strategies. You will work closely with experienced researchers, traders, and a technology team with deep domain expertise. The digital asset space is young, fast-evolving, and filled with innovative sources of alpha and trading opportunities.

Key Responsibilities:

  • Employ a rigorous scientific approach to develop sophisticated investment models and deliver insights into how markets behave
  • Apply quantitative techniques, like machine learning, to a vast and innovative array of datasets
  • Create and test complex investment ideas and develop algorithms that lead to trading decisions
  • Analyze investment model performance and behavior, aiming for constant improvements
  • Work closely with our team of experienced developers to translate investment models into production code

Skill Set and Qualifications:

  • Educational background in technical field, preferably Mathematics, Statistics, Physics or Theoretical Computer Science
  • Solid experience in model building, backtesting, parameter optimization routines, execution engine design and performance tracking
  • Strong analytical skills; experience working with, and analyzing, large datasets
  • Strong mathematical and statistical modeling skills (e.g. time-series)
  • Ability to think independently, creatively approach data analysis, and communicate complex ideas clearly
  • Basic knowledge of the digital asset space is beneficial, but not required
  • Intermediate programming background in Python and C++
  • Fluent English speaker
  • Ability to travel periodically between our offices in NYC, London and Zug, Switzerland

Are you keen to work in a well-resourced startup environment, where your ideas, experience, and drive to find creative solutions makes a difference? We’d like to hear from you.

The salary for this role is anticipated to be between $125,000 and $250,000. This anticipated salary range is based on information as of the time this post was created. This role may also be eligible for additional forms of compensation and benefits, such as a discretionary bonus, health, dental and other benefits plans. Actual compensation will be carefully determined based on a number of candidate factors, including their skills, qualifications and experience.

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Apply Now

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.