Quantitative Researcher Jobs in Web3

55 jobs found

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

Flow Traders

Amsterdam, Netherlands

$77k - $95k

Tokemak

Remote

$200k - $300k

Monad Labs

New York, NY, United States

$74k - $100k

InfiniteQuant

New York, NY, United States

$72k - $96k

Kronos Research

remote

$28k - $33k

Monad

New York, NY, United States

$74k - $100k

Drift Protocol

Australia

$120k - $170k

InfiniteQuant

New York, NY, United States

$72k - $96k

Tokemak

Remote

$200k - $300k

Snowfork huB

Remote

$105k - $108k

Snowfork

United States

$105k - $108k

Numus

Remote

$105k - $120k

Gauntlet

Los Angeles, CA, United States

$150k - $180k

Gauntlet

Remote

$150k - $180k

Kronos Research

Taipei, Taiwan

$89k - $102k

Injective Labs

East Coast Time Zone

$84k - $120k

Swissblock

Zug, Switzerland

$84k - $110k

Presto

Singapore, Singapore

$32k - $86k

Amber

Hong Kong, Hong Kong

$89k - $102k

Kronos Research

Hong Kong, Hong Kong

$58k - $80k

Kronos Research

Hong Kong, Hong Kong

$25k - $85k

OKX

Hong Kong, Hong Kong

$86k - $100k

Alldus

United States

$84k - $100k

Gate.io

Remote

$85k - $110k

X4 Alpha

New York, NY, United States

Flow Traders
$77k - $95k est.
NH Amsterdam, North Holland, Netherlands
Apply

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.

⬇
Apply Now

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.