| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
InfiniteQuant | New York, NY, United States | $72k - $96k | |||
Kronos Research | remote | $28k - $33k | |||
Drift Protocol | Australia | $120k - $170k | |||
InfiniteQuant | New York, NY, United States | $72k - $96k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Tokemak | Remote | $200k - $300k | |||
Snowfork huB | Remote | $105k - $108k | |||
Snowfork | United States | $105k - $108k | |||
Gauntlet | Los Angeles, CA, United States | $150k - $180k | |||
Gauntlet | Remote | $150k - $180k | |||
Kronos Research | Taipei, Taiwan | $89k - $102k | |||
Injective Labs | East Coast Time Zone | $84k - $120k | |||
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 |
Company Description
InfiniteQuant is a global quantitative trading and technology company.As a proprietary trading firm, we are privately owned and funded. We trade on the global financial markets using our in-house developed research and trading technology.
Job Description
InfiniteQuant LLC is pleased to announce our annual Quantitative Researcher/Developer Internship tailored for students and recent graduates.
Researcher Internship
We are actively seeking candidates with expertise in high-frequency statistical arbitrage, focusing on global commodities and digital assets, as well as in market-making strategies for spot, future, swap, and options.
Exceptional interns will have the chance to rotate among various tracks throughout their internship, providing a comprehensive experience in the field.
Tracks
Track1 - High-FrequencyTrading
- Analyze order book data and market trade data to generate high-frequency signals with strong statistical significance.
- Directly responsible forthe construction of alpha signals or monetization for latency-sensitive, capacity-constrained strategies.
Track2 -DeFi Trading
- Providingdata-driven insights, helping to improve risk management, and contributing to the development of more sophisticated trading strategies and financial products within the decentralized finance space.
- Participate in DeFi markets, making trading decisions to profit from price fluctuations, yield farming, and arbitrage opportunities.
Track3 - News and Sentiment Trading
- Use NLP/LLM to find how news data and social media postings impact short-term price moves and flow toxicity changes.
Developer Internship
You will work in our development team to develop and maintain our database, quantitative research platform, and tradinginfrastructure.
- Develop market and trading gateways in C++ for global cryptocurrency exchanges.
- Collaborate with traders and developers to design, implement, and add new features to the research platform, high-frequency/mid-frequency backtester, trading system, exchange connectivity solutions (RESTful API andWebSocket), configuration and monitoring tools.
- Create tools and libraries for use in finding signals and patterns.
- Build real-time risk analysis and post-trade assessment tools.
Benefits
- Team-wide career skills improvement workshops, group coaching,onsite events, and one-on-one training.
- US working visa sponsorship for qualified candidates if needed.
- Career workshop.
- Team outing event and team dinner.
- Earn performance-based bonus.
- Corporate swag.
- Well-stocked office kitchen.
Salary Range
$6,000-$8,000 per month
Location
Midtown Manhattan, New York
Interview Process
The interview process includes 1-2 rounds with Quants, a coding test, and concludes with a final onsite interview.
This year, we are initiating two application rounds: the first starts in September and a potential second in January. However, if all positions are filled in the first round, the second round will be canceled.
Our candidate pool is exceptionally competitive. Successful candidates are either pursuing or have attained Master's or Ph.D. degrees, or they have significant work or internship experience from hedge funds or proprietary trading firms.
Qualification
Researcher
- Candidates must hold a Master's or Ph.D. in a quantitative discipline with an understanding of market microstructure.
- Experience in leading prop shops, trading firms, or hedge funds.
- Workor internship experience in crypto trading.
- Proficiency in data-driven research, advanced statistics, and strategy development is expected.
- Strong Python skills, particularly with NumPy and pandas.
- Proficiency in C++ is a must.
Developer
- Master/Undergraduate degree in a scientific, mathematical, computer science, or engineering discipline.
- Experience using/designing a high-frequency/mid frequency backtester.
- Experience with one compiled language: C, C++, or RUST.
- Experience with Python (e.g., NumPy, SciPy, pandas, asyncio, Cython).
- Knowledge of data structures, algorithms, network communication (WebSocket), and multi-threading/processing.
- Experience building low-latency connectivities(e.g. WebSockets and Restful API)to exchanges.
- Experience using CCXT and exchange provided SDKsis a plus.
- Experience with SQL andRedis.
- Experience with Cloud Platforms (e.g., AWS, Google Cloud, etc).
- Experience with computer security is a plus.
- Experience with distributed systems is a plus.
Additional Information
InfiniteQuant LLC is an Equal Employment Opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity, genetic information, military and veteran status, and any other characteristics protected by applicable law. We seek to recruit, develop, and retain the most talented and qualified applicants from a diverse candidate pool.
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.