ai analyst backend bitcoin blockchain community manager crypto cryptography cto customer support dao data science defi design developer relations devops discord economy designer entry level erc erc 20 evm front end full stack gaming ganache golang hardhat intern java javascript layer 2 marketing mobile moderator nft node non tech open source openzeppelin pay in crypto product manager project manager react refi research ruby rust sales smart contract solana solidity truffle web3 py web3js zero knowledge
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Swissblock | Zug, Switzerland | $84k - $110k | |||
Presto | Singapore, Singapore | $32k - $86k | |||
Amber | Hong Kong, Hong Kong | $89k - $102k | |||
Kronos Research | Hong Kong, Hong Kong | $58k - $80k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Kronos Research | Hong Kong, Hong Kong | $25k - $85k | |||
OKX | Hong Kong, Hong Kong | $86k - $100k | |||
Alldus | United States | $84k - $100k | |||
Gate.io | Remote | $85k - $110k | |||
X4 Alpha | New York, NY, United States |
| |||
Paraform | San Francisco, CA, United States | $120k - $180k | |||
X4 Alpha | New York, NY, United States |
| |||
X4 Alpha | New York, NY, United States | $85k - $87k | |||
Drift Labs | New York, NY, United States | $45k - $90k | |||
Radley James | New York, NY, United States | $72k - $90k | |||
Algo Capital Group | New York, NY, United States | $150k - $200k |
Senior Quant Researcher
Zug /
Research /
Full-time
/ Hybrid
Apply for this job
Who we are:
Our mission at Swissblock Technologies is to develop automated algorithmic trading strategies within the high-risk digital asset space. We are a quantitative asset manager actively investing across diverse digital assets, timeframes and investment approaches. We leverage techniques from different scientific disciplines to generate insightful market analytics and to deliver the most robust strategies to our proprietary trading infrastructure.
As a novel quant crypto-native fund, we approach the rapidly changing economic environment with a team-first approach. We believe that building a diverse yet cohesive group of talented and dedicated people with a solid maths and programming background is the path to success.
What you’ll be doing:
Our Quant Research Team generates market analytics and translates them into new strategies aiming to integrate our systematic portfolio.Â
As a Quantitative Researcher, you will:
- Study financial ecosystems to extract key dynamics and opportunities.
- Navigate technical and academic literature to identify the most appropriate modelling tools.
- In addition, leverage financial pragmatism and technology to design profitable algorithmic trading implementations.
- Code resulting strategies and test them to prove concept effectiveness.
- Collaborate with Backtesting and Software Engineers to support the phases of the strategy lifecycle, from robustness assessment up to production-level deployment and monitoring of our proprietary trading infrastructure.
- Dissect the performance of existing portfolios to distil down actionable insights.
- Contribute to and benefit from team growth through continuous sharing.
The effort to expand automated trading operations from crypto only to a cross-asset universe represents a key initiative for the fund. Thus the role will directly impact shaping the future team and company structure.
What you’ll bring:
We are looking for people with a natural ability to detect patterns in real-world data and translate them into mathematical models. You should have a creative yet output-oriented mindset that allows you to generate and test novel trading ideas and embed them into algorithmic frameworks.
- BSc or MSc in quantitative subjects (e.g. mathematics, physics, computer science, econometrics, finance etc.)Â
- Proficiency in Python Programming.
- Be driven by an interest in macro and microfinance dynamics while pursuing self-directed research.
- Experience in designing cross-asset portfolios.
- Experience with automated execution through different instruments.Â
- Familiarity with optimisation and machine learning applications.
- An entrepreneurial-friendly and business-driven mindset.
- A statistical and data analytical background, along with manual operational trading experience, would be an advantage.
This is not a role for someone who wants to specialise only in one asset class but is perfect for a Researcher who is excited about multiple asset classes and exposure to different facets of the position.
Why you should apply:
At Swissblock, we offer an exciting and diverse environment with flat hierarchies and excellent peers, where we value individual responsibility and personal growth. This allows you to freely own your decisions and experiments, solve complex problems and join a young, self-funded and already profitable company in a future-proof market.
We offer fully remote work from anywhere in Europe or Onsite in Zug, Switzerland, a competitive compensation scheme plus an annual bonus, 25 days of annual leave, pension, insurance and regular company events.
Join us in our mission to help our customers make informed investment decisions in the fast-paced world of crypto trading. Please contact Callum Porter to apply for the position; email: [email protected]
Apply for this job
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.