Quantitative Researcher Jobs in Web3

82 jobs found

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Job Position Company Posted Location Salary Tags

Dvtrading

Remote

$84k - $100k

Kronosresearch

Remote

$84k - $156k

Kronosresearch

Remote

$103k - $110k

Wehrtyou

Remote

$175k - $300k

Aurosglobal

Remote

$84k - $100k

Auros

New York, NY, United States

$84k - $100k

Selby Jennings

New York, NY, United States

$84k - $150k

Swissblock

Baar ZG

$84k - $100k

Keyrock

London, United Kingdom

$72k - $90k

Binance

Taipei, Taiwan

Confusion Capital

Remote

$180k - $220k

Confusion Capital

Remote

$180k - $220k

Monad Foundation

Remote

$86k - $110k

Monad

New York, NY, United States

$74k - $100k

Confusion Capital

Remote

$180k - $220k

Dvtrading
$84k - $100k estimated
Remote
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About Us:Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.  Overview:As a Quantitative Researcher, you will work with a team to develop a variety of signals, models, and strategies for trading financial markets. You will be responsible for the design and implementation of various components of our research system, and you will evaluate their effectiveness by using accurate statistical methods. As part of a small team with exposure to multiple areas of research, you will have the opportunity to rapidly grow your knowledge of quantitative finance.Requirements:

A degree in Mathematics, Statistics, Machine Learning, Physics, Computer Science or other scientific disciplines Exceptional mathematical, analytical, and problem-solving ability Programming proficiency in SQL and Python or C++ Experience solving data-intensive problems is a plus Demonstrated ability to complete statistical or applied mathematical research is a plus Prior experience in a quantitative role within a trading environment is a plus Self-motivated and highly productive with a strong sense of urgency and accountability

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

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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.