Quantitative Developer Jobs in Web3
32 jobs found
Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Bitwise Asset Management | New York, NY, United States | $150k - $200k | |||
Elwoodtechnologies | Remote |
| |||
DV Trading | Toronto, Canada | $112k - $180k | |||
DV Trading | New York, NY, United States | $160k - $200k | |||
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 | Taipei, Taiwan | $79k - $106k | |||
Syndr | Delhi, India | $103k - $112k | |||
falconx | New York, NY, United States | $126k - $140k | |||
Nascent | Montreal, CA, United States | $64k - $86k | |||
FalconX | New York, NY, United States | $180k - $200k | |||
Tokemak | Remote | $200k - $300k | |||
Qube Research & Technologies | Remote | $140k - $180k | |||
Kronos Research | Taipei, Taiwan | $27k - $67k | |||
Kronos Research | Taipei, Taiwan | $63k - $75k | |||
Stargaze Finance | Remote | $30k - $75k | |||
Nogle | Taipei, Taiwan | $122k - $153k |
Derivatives Quantitative Developer
What You Will Do
- Build, trade and optimize the portfolio management of derivatives-focused crypto and crypto-equities products through quantitative analysis that identifies various inefficiencies in global capital markets activities.
- Develop and enhance analytical tools with a primary focus on crypto volatility trading, focusing on alpha generation, statistical analysis, model implementation, portfolio construction, execution, and trade analysis. (Past experience with portfolio construction and implementation research is a plus.)
- Analyze portfolio characteristics, attribute performance drivers, and design portfolio implementation analytics and risk management.
- Leverage various third-party vendors and partners to build robust internal systems for high-performance historical simulation/backtesting capabilities.
- Assist in writing and publishing content across relevant topics, including quantitative/systematic trading strategies.
- Contribute to Bitwiseâs product strategy growth in actively managed solutions and drive risk systems adoption across our engineering team.
Who You Are
- Excellent quantitative skills, as evidenced by formal training in statistics, applied mathematics, operations research, economics, computer science, physics, or related quantitative fields. Previous crypto experience is a plus.
- Strong technical skills with expertise in Python (or another programming language) and SQL. You should be comfortable with modern data science tools (Jupyter, Pandas, Numpy, etc.) and with basic software development methodologies: version control systems, working on the command line, debugging, etc. Familiarity with BI tooling such as Tableau is helpful.
- Strong experience with databases is required, as well as an understanding of the data available in the investment management industry and experience in managing and accessing such data to support research and trading efforts.
- 3-5+ years of work experience with working knowledge of basic options math. Bloomberg API familiarity is a plus.
- Effective communication skills, both written and verbal. Ability to build relationships with other teams to support investment and research processes.
- Ability to manage uncertainty and exercise strong decision-making skills even with sometimes incomplete information.
- Ability to work efficiently and multi-task effectively in a fast-paced and team-oriented environment. This will include end-to-end research project work from data gathering to hypothesis testing and model implementation.
What We Offer
- Compensation: $150,000 - $200,000 salary + bonus + equity
- Equity compensation as a component of all offers
- Health insurance, including dental and vision plans
- Health, Dependent Care, and Commuter Flexible Spending Accounts
- Paid Parental Leave
- Life insurance; short- and long-term disability plans
- Unlimited PTO
- Company funded 401(k) plan, no matching required
- 10 paid company-wide holidays
- Office spaces in San Francisco and New York
- Meals and snacks provided in the office
- Paid company cell phone
- Bitwise âBuddyâ program (30-day new-hire success program)
- Annual birthday and anniversary gifts
- Company-wide events including the annual holiday party
- Internal Women of Bitwise group with fun events
What do quantitative developers do?
Quantitative developers, also known as quants, are professionals who work in the financial industry and use their expertise in computer programming and quantitative analysis to develop and implement financial models and trading strategies
They work closely with quantitative analysts and traders to design, implement, and test complex algorithms and financial software
Quantitative developers in Web3 utilize their programming skills and quantitative analysis expertise to build decentralized systems and applications
They work on developing and implementing financial models, trading algorithms, and smart contracts that can be used to power decentralized finance (DeFi) platforms and other Web3 applications
Some specific tasks that a quantitative developer may be responsible for include:
- Developing financial models and algorithms: Quantitative developers use programming languages like Python, C++, and Java to design and implement financial models and algorithms that can be used to analyze data and make investment decisions. They may work with quants to translate mathematical models into executable code.
- Building and maintaining trading systems: Quantitative developers may build trading systems that automatically execute trades based on pre-programmed algorithms. They may also be responsible for maintaining these systems and ensuring that they are running efficiently and accurately.
- Developing decentralized financial products and services: Quantitative developers work on designing and implementing smart contracts and other financial models that can be used to create decentralized financial products such as decentralized
- Building blockchain infrastructure: Quantitative developers may work on developing the underlying blockchain infrastructure that powers decentralized applications. This may involve developing consensus algorithms, building smart contract execution platforms, and designing secure and efficient data storage solutions.
- Conducting data analysis: Quantitative developers may work on analyzing on-chain data from decentralized platforms to identify trends and inform investment decisions. They may also develop new techniques for analyzing decentralized data, such as utilizing data from on-chain transactions to gain insights into user behavior and network activity.