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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Chaos Labs | New York, NY, United States | $72k - $80k | |||
Binance | Dubai, United Arab Emirates |
| |||
Cash App | New York, NY, United States | $152k - $185k | |||
Fortress Trust | Austin, TX, United States | $32k - $64k | |||
| 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 | Asia |
| |||
RabbitHole | Remote | $91k - $96k | |||
Binance | Europe |
| |||
Block | Atlanta, GA, United States | $125k - $153k | |||
Alldus | United States | $84k - $100k | |||
NFT Text Inc. | United States | $80k - $140k | |||
Square | San Francisco, CA, United States | $152k - $185k | |||
Coinmarketcap | Remote | $81k - $100k | |||
Fortress Trust Company | Austin, TX, United States | $32k - $64k | |||
OKX | Hong Kong, Hong Kong | $32k - $64k | |||
Glassnode | Europe | $72k - $100k |
Quant/Data Scientist
New York City /
R&D /
Full-time
/ On-site
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Chaos Labs is the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while protecting user funds. We use world-class custom EVM and on-chain simulations to understand protocol mechanics and scenario implications.
Leading protocols use our platform and tools, helping them manage and secure billions of dollars in assets such as Aave, Benqi, Osmosis, Uniswap, and more.
We’re scaling the data science team in our NYC office to help build trailblazing models and products to better secure DeFi protocols. This team will be influential in building financial simulation models to monitor and optimize risk across DeFi.
We are looking for candidates with domain expertise in financial modeling and a deep interest in crypto.
Responsibilities
- Collaborate closely with leading DeFi projects to understand and improve risk modeling practices
- Participate in technical specification design and implementation of simulation and statistical frameworks
- Lead the research of financial modeling techniques to select the most applicable strategies for Chaos Labs’ products and customers
- Assist in the development and maintenance of systems to calculate risk metrics for partner protocols
- Diligently architect and manage the evolution of the code base, including collaborating with other teams to maximize scale and leverage across the organization
- Identify, measure, and manage market risks across Chaos and its customers
- Engage with customers and strategic partners in support of product efforts, providing risk expertise to ensure their success
- In times of crisis (i.e., when a protocol is under attack or a vulnerability is detected), assist in reaction/recovery efforts to ensure the protection of client user funds
Requirements
- NYC-area based
- 5+ years experience in data science or risk management with a financial market focus
- Focusing primarily on market and trade risk with experience with simulations
- 1+ years of experience in web3
- Intimate knowledge of the underlying risks to major DeFi primitives such as Aave, Compound, Maker, Terra/UST, and more
- Degree in finance, computer science, or other quantitative subjects, or equivalent relevant experience
- Experience with financial data and processes and the ability to work closely with engineering and product teams
- Knowledge of the crypto market structure and market data, especially within DeFi
- Experience in Python, SQL, Excel, and other relevant platforms
- History of 0-1 process and program creation where you find problems and solve them with minimal oversight
- Demonstrated experience (& excitement for) working in self-managed, fast-paced environments.
- Excellent verbal and written communication skills, ability to explain complex topics in a straightforward way to both crypto-native and novice audiences
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What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.