Quantitative Researcher Jobs in Web3

109 jobs found

web3.career is now part of the Bondex Logo Bondex Ecosystem

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

Jack & Jill

New York, NY, United States

$200k - $300k

Joseph Anthony Group

New York, NY, United States

$125k - $150k

Alexander Chapman

New York, NY, United States

$84k - $100k

Crypto.com

Dallas, TX, United States

$100k - $150k

Crypto.com

United States

$100k - $230k

Douro Labs

Europe

$64k - $90k

Quanta Search

Chicago, IL, United States

$84k - $100k

Binance

Taipei, Taiwan

Swissblock

Baar ZG

$84k - $150k

Dvtrading

Remote

$84k - $120k

Okx

Remote

$140k - $300k

Fionics

New York, NY, United States

$36k - $100k

Keyrock

London, United Kingdom

$64k - $125k

Yuma

Stamford, CT, United States

$105k - $125k

Dvtrading

Remote

$84k - $100k

Jack & Jill
$200k - $300k
United States New York US

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network.

The next step is to speak to Jack.

Job Title

Quantitative Researcher

Salary

$200k-$300k + Equity

Company Description

Injective Labs is a high-growth Web3 fintech incubated by Binance and backed by Jump Crypto, Pantera, and Mark Cuban, building the fastest interoperable L1 blockchain for finance.

Job Description

As a Quantitative Researcher at Injective Labs, you will join a high-impact three-person team in New York to build the strategies driving the DeFi economy. You will own the entire lifecycle of automated trading strategies, from market microstructure analysis to low-latency execution, ensuring market liquidity on the world’s first fully on-chain order book.

Location

New York, USA

Why this role is remarkable

  • Join an elite three-person quant team where every member has end-to-end ownership, moving beyond theoretical research to ship production code with direct P&L visibility.
  • Work at the absolute frontier of finance on the fastest-growing L1 blockchain, backed by industry titans like Binance, Jump Crypto, and Mark Cuban.
  • Access a unique compensation structure featuring a performance-driven risk management bonus of up to $150k and INJ token equity in a scaling ecosystem.

What You Will Do

  • Design and implement systematic market-making and arbitrage strategies end-to-end, utilizing statistical and machine-learning techniques to identify market inefficiencies.
  • Build and maintain high-performance trading system components, including low-latency execution engines, signal-generation pipelines, and robust backtesting frameworks.
  • Analyze complex on-chain data and market microstructure to optimize risk metrics, execution quality, and slippage for liquid and illiquid digital assets.

The ideal candidate

  • Holds an M.S. or Ph.D. in a quantitative field with 3–5 years of experience in HFT or systematic trading at a top-tier financial institution.
  • Demonstrates expert-level proficiency in Python for research alongside strong skills in performance-critical languages like C++, Rust, or Go.
  • Possesses a deep understanding of probability, time-series modeling, and financial markets, with the ability to engineer low-latency systems that react to real-time data.

Who are Jack & Jill?

Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

  • Jack's an AI agent for job searching and career coaching. He works for you.
  • Jill is the AI recruiter working for the company. She recruits from Jack's network.
  • If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

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.