| Job Position and Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|
| $84k - $150k | ||||
Weekday AI📍 Remote | $105k - $108k | |||
| $103k - $110k | ||||
Wehrtyou📍 Remote | $175k - $300k | |||
ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
| $84k - $100k | ||||
| $84k - $100k | ||||
| $84k - $150k | ||||
Swissblock📍 Baar ZG | $84k - $100k | |||
| $72k - $90k | ||||
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Monad Foundation📍 Remote | $86k - $110k | |||
| $74k - $100k | ||||
Numus📍 Remote | $105k - $120k | |||
| $36k - $87k | ||||
| $64k - $85k |
Who We Are Founded in 2019, Rock Bund Capital is a proprietary trading firm deeply committed to shaping the future of the cryptocurrency industry. We have an average daily trading volume exceeding $1 billion and peak daily trading volume reaching $5 billion. We process over 7 million transactions daily, trading more than 1,000 symbols across multiple CEx and DEx. Our CEx activity is primarily focused on top-tier platforms, where we hold the highest VIP status. In DeFi, we provide liquidity to more than 20 most popular protocols across different chains. Our team combines expertise in traditional finance, quantitative research, and advanced engineering with a deep understanding of blockchain technology. This unique blend enables us to excel in trading across complex crypto markets, including both CeFi and DeFi, while providing capital and strategic guidance to projects that drive innovation and foster sustainable growth in the crypto industry.
What You Will Do
Research, develop and implement high frequency alpha taking /market making strategies and contribute to portfolio construction
Collaborate with PM and the team to implement and improve trading strategies
Who You Are
Bachelor or Master's degree in Math, Physics, CS or related majors
Experienced in Python, solid in either Rust or C++
Familiar with large-scale high-frequency modeling
Familiar with high frequency (tick data level) trading strategies
Familiar with orderbook processing and management
Native Mandarin speaker, fluent in English
Why Join Us
Competitive remuneration package and a meritocratic culture where accomplishments are rewarded Fast paced and result-oriented with a flat structure Teams collaborate in a casual working environment Excellent exposure to the digital asset ecosystem and the latest market insight Great career development opportunities
DisclaimerWe do not accept unsolicited resumes from any professional staffing or search firms. All resumes, or any other information identifying potential candidates, shared with any employee of Rock Bund Capital or its affiliates by any method without a standing signed supplier agreement will be deemed free to contact without restrictions, and no placement fee of any kind will be paid in the event the candidate is hired by Rock Bund Capital or any of its affiliates.
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.