Quantitative Jobs in Web3

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Job Position Company Posted Location Salary Tags

Queueco

London, United Kingdom

$80k - $96k

Impossible Cloud

Remote

$62k - $67k

Crypto.com

Coral Gables, Florida

$140k - $180k

KRK Resources, Inc.

New York, NY, United States

$140k - $150k

Stealth

New York, NY, United States

$200k - $250k

Galaxy

Remote

$77k - $108k

Flow Traders

Amsterdam, Netherlands

$77k - $95k

Binance

Asia

Anchorage Digital

United States

$134k - $185k

FalconX

New York, NY, United States

$180k - $200k

Ripple

London, United Kingdom

$64k - $86k

Crypto.com

London, United Kingdom

$116k - $189k

Tokemak

Remote

$200k - $300k

Monad Labs

New York, NY, United States

$74k - $100k

Stealth

New York, NY, United States

$89k - $100k

Internship: DeFi Quantitative Trading

Queueco
$80k - $96k estimated
England London United Kingdom
Join Talent Pool

This job is closed

We are looking for bright and enthusiastic interns (Master/PhD graduates) to join the team to learn and develop skills used in quantitative research and algorithmic trading with a focus on De-Fi research. This is a hands-on front office trading role. You will see strategies you’ve developed traded in production.

You will be supporting our quantitative researchers in the following areas:

  • Researching vast amounts of De-Fi market data to identify patterns and express your own fully algorithmic trading strategies
  • Creating and implementing De-Fi strategies into production which means direct feedback on your work
  • Manage your portfolio of live strategies and adjust based on market conditions and upcoming economic calendar
  • Generating novel ways of analysing and interpreting our proprietary data
  • Improving the quality of our simulations and accuracy of forecasts
  • Shaping our trading footprint by identifying new markets to trade on

Qualities that make you an ideal candidate may include:

  • Proficient in one or more of Python/C++/Java with a good foundation in software engineering principles
  • Familiarity with Blockchain technology is a plus
  • Complex problem solving, focusing on results rather than process
  • Unconventional thinking, creativity and persistence
  • Good mix of engineering and data science skills in the domain of time series analysis
  • Ability to build whole data analysis pipelines from data preparation and feature selection to efficient training, hyper-parameter optimisation, validation and testing
  • PhD, MSc from top tier universities in relevant STEM subjects (mathematics, physics, computer science)

This is a front office trading role and as such permanent remote work is not an option. You must have valid permission to work in the United Kingdom, your application will not be reviewed if you need a visa.

  • Competitive base salary
  • Discretionary bonus scheme
  • Private health insurance
  • Auto enrolment in defined contribution pension scheme
  • Free Friday lunches, drinks and snacks
  • Conference budget
  • Central London office

Some benefits may only be available for internships over 3 months.

If the above job description excites you please submit your CV together with a brief cover letter that clearly outlines the reason why you apply and what makes you a great fit for the role. Applications without cover letter will not be considered.

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.