| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Drift Protocol | Remote | $54k - $100k | |||
Mirana | Singapore, Singapore | $40k - $56k | |||
CoinDesk & TradeBlock Opportunities | New York, NY, United States |
| |||
Crypto.com | Remote | $14k - $23k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Binance | Remote |
| |||
Mirana | Singapore, Singapore | $40k - $56k | |||
Crypto.com | Remote | $14k - $23k | |||
Kronos Research | Taipei, Taiwan | $28k - $33k | |||
Altonomy | Singapore, Singapore |
|
Drift - Quant Researcher About Drift Labs Drift is a leading derivatives exchange on Solana. Our mission is to bring state-of-the-art trader-centric experience from centralized exchanges on-chain. We're a team of experienced traders and builders from DeFi and traditional finance working together to make this a reality. Within three months of launch, we have:
Hit $5B in cumulative volume traded; Achieved over $30M in trader open interest with $14M in collateral vault balance; Launched 13 trading markets.
The Opportunity: Drift is looking for a Quant Researcher to be a core member of our research team to build, scale, maintain, and spearhead the development of our decentralized perpetual futures platform. You’ll help determine the strategy around developing our dynamic virtual Automated Market Maker (DAMM), research, propose and design formulaic parameter updates, as well as run simulations to track and measure risks across market scenarios. Your Role:
Design protocol incentives and formulaic parameter updates Run simulations to track and measure risks across market scenarios Ensure code and data quality to showcase reproducible work Proactively engage giga brain community members
Your Experience:
Proficiency with Python, including developing production quality software Deep understanding of AMMs while proactive engaging in new developments Track record of going from theoretical concepts to practical design, building, scaling and maintenance. Strong communication & writing skills Passion for DeFi and crypto 2+ years as a quant researcher, data scientist or relevant discipline
Nice to Have:
Experience with any blockchain at the protocol level Understanding of perpetual futures, options, margin trading and derivatives products Familiarity with the Solana blockchain and building applications on Solana Experience in data visualization frameworks BSc in Computer Science, Mathematics, Statistics or relevant discipline
Drift's Development Stack:
Frontend: Typescript + React Smart Contracts: Rust (using Anchor framework) Backend: MySQL Infrastructure: AWS
Perks:
Remote first - work from anywhere International team meets Stipend for laptop
To apply, send your CV and GitHub link to [email protected]!
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:
- 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.
- 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.
- 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.
- 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.