Quantitative Jobs in Web3

338 jobs found

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Job Position Company Posted Location Salary Tags

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

Qube Research & Technologies

Remote

$140k - $180k

Kronos Research

Taipei, Taiwan

$27k - $67k

Kronos Research

Taipei, Taiwan

$63k - $75k

InfiniteQuant

New York, NY, United States

$72k - $96k

Crypto.com

Singapore, Singapore

$106k - $165k

Experienced Quantitative Researcher

Flow Traders
$77k - $95k estimated

This job is closed

Flow Traders is looking for experienced Quantitative Researchers to join our growing Equity, Fixed Income, Options, Cryptocurrency or FX desk at our Amsterdam office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities.

As a firm, we are at the intersection of Scientific Research, Finance and cutting edge Technology. Financial markets have made a rapid shift from trading in the pit towards algorithmic trading, and our firm has developed into a FinTech company.

A successful Quantitative Researcher, first and foremost, must be an expert in mathematics and statistics. We are looking for someone who loves to work with numbers and code automated trading algorithms. You should have an innate desire to generate and backtest new trading ideas, with generation of alpha and automated strategies as ultimate output goals. You will work alongside Traders and Quantitative Researchers on state of the art trading solutions. If you have a passion to solve and code mathematical problems, then this opportunity is for you.

What you will do

  • Collaborate with Traders and Quant Researchers to optimize and improve trading strategies
  • Research and analyze financial data to find exploitable patterns
  • Design and implement complex quantitative models and automated trading algorithms

What you need to succeed

  • 2-7 years quantitative research experience with a focus on pricing and hedging strategies at a market maker
  • A Master degree in Econometrics, Mathematics, Physics, Statistics, Computer Science or similar (PhD preferred)
  • Strong understanding of market microstructure in the asset class of expertise (equity, fx, fixed income, options or crypto)
  • Proficient in programming (e.g. Java and Python)
  • Experience in low latency set ups
  • Strong mathematical and statistical skills
  • Ability to reason logically, deliver under pressure and take ownership
  • Competitive attitude, eager to learn, proactive and able to work in a team
  • Excellent verbal and written English skills

Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.

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.