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Overview
We are seeking a motivated and highly skilled Quantitative Analyst to join our growing asset management team focusing on digital assets and decentralised finance (DeFi). The successful candidate will be responsible for developing, testing, and implementing quantitative trading strategies, risk models, and portfolio analytics through Fireblocks. They will work closely with a research Quant in an operational capacity to drive alpha generation and sustainable long-term performance.
We hold the requisite licensing and infrastructure to compliantly manage digital asset investments for wholesale clients within Australia. This role comes with revenue sharing from asset management fees and includes an equity component. With over $200 million of distribution ready to deploy over the next 12 months, we anticipate a strong response and encourage early applications.
Key Responsibilities
- Strategy Development
- Research, design, and implement algorithmic trading strategies across multiple digital asset classes (e.g. Bitcoin, Ethereum, stablecoins, altcoins).
- Manage a long-only portfolio and build a DeFi yield portfolio.
- Continuously refine existing models to optimise returns, reduce drawdowns, and maintain robust risk management.
- Data Analysis & Modelling
- Collect, clean, and analyse large datasets to identify alpha-generating signals and market inefficiencies.
- Apply statistical and machine learning techniques (e.g. time-series analysis, regression models, clustering) to support systematic trading strategies.
- Backtesting & Simulation
- Develop and maintain a robust backtesting framework for evaluating strategy performance under realistic market conditions.
- Conduct scenario testing, stress-testing, and factor analysis to validate model assumptions.
- Risk Management & Monitoring
- Design and implement appropriate position sizing, leverage, and hedging mechanisms from USD to AUD.
- Monitor live trading strategies, identify issues or anomalies, and optimise parameters in real time.
- Technology & Infrastructure
- Contribute to the development of internal quantitative research and trading platforms.
- Work with DevOps or engineering teams to enhance toolsets, streamline data pipelines, and ensure low-latency infrastructure.
- Collaboration & Reporting
- Provide regular performance reports to senior management and investment committees.
- Collaborate with other teams (compliance, operations, marketing) to ensure cohesive business processes and clear communication with stakeholders.
Required Skills & Qualifications
- Education: Bachelor’s or Master’s degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Engineering, or Finance).
- Quantitative Expertise: Strong foundation in mathematical modelling, time-series analysis, stochastic processes, or machine learning.
- Programming Proficiency: Expertise in Python is preferred; experience with R, C++, or Java is a plus. Familiarity with data analysis libraries (e.g. NumPy, pandas, scikit-learn) is important.
- Finance & Crypto Knowledge: Demonstrated interest in or experience with digital assets, blockchain technology, and decentralised finance. Familiarity with spot, derivatives, and structured products is beneficial.
- Analytical Mindset: Evidence of creative problem-solving, a rigorous approach to research, and strong critical thinking skills.
- Communication: Ability to explain complex quantitative methods and strategy rationales to both technical and non-technical audiences, in written and verbal form.
- Teamwork: Eagerness to collaborate across diverse teams—portfolio managers, developers, risk officers—to achieve strategic objectives.
Preferred Attributes
- Prior experience in systematic trading for digital assets or traditional finance.
- Knowledge of DeFi protocols, yield farming, or staking mechanisms.
- Track record of published research or contributions to open-source software projects.
- Familiarity with cloud-based development (AWS, GCP, Azure) and containerisation (Docker, Kubernetes).
Why Join Us
- Innovative Culture: Work with a cutting-edge team at the forefront of crypto and DeFi innovation.
- Ownership & Impact: See your research and models go live, and directly contribute to alpha generation and portfolio growth.
- Creative: With the business owned by a fintech, you will be exposed to multiple products and innovative ideas to leverage DeFi for broader financial wellbeing.
- Competitive Package: Attractive revenue-sharing model and equity participation.
Application Process
To apply, please send your CV, a cover letter highlighting relevant experience, and any supporting materials (e.g. sample code, research papers) to [email protected]. We review applications on a rolling basis and encourage early submissions.
What do quantitative analyst do?
A quantitative analyst, also known as a 'quant', is a professional who uses quantitative techniques to develop and implement financial models, analyze data, and make investment decisions
Quants are typically employed by financial institutions such as hedge funds, investment banks, and asset management firms
In Web3 quantitative analysts can leverage their expertise in data analysis and modeling to inform investment decisions and help build new decentralized systems and applications
The job of a quantitative analyst can vary depending on the employer and industry, but generally, they use mathematical and statistical models to analyze financial data and make informed investment decisions
They may use programming languages like Python, R, or MATLAB to develop these models
Some specific tasks that a quantitative analyst may be responsible for include:
- Analyzing financial data and identifying patterns and trends.
- Developing and testing mathematical models to predict financial market behavior.
- Designing and implementing trading strategies based on quantitative analysis.
- Decentralized finance (DeFi) analysis: Quants can analyze various decentralized financial protocols to identify opportunities for investment and assess risks associated with these protocols. They may develop models to predict the behavior of decentralized financial instruments and evaluate their performance.
- Cryptocurrency market analysis: Quants can analyze cryptocurrency markets and identify patterns and trends that may be used to inform trading strategies. They can also develop models to predict the price movements of cryptocurrencies based on various factors such as supply and demand, market sentiment, and adoption rates.
- Smart contract analysis: Smart contracts are self-executing contracts with the terms of the agreement directly written into code. Quants can analyze smart contract code to identify potential vulnerabilities and assess the risk associated with the execution of the contract.
- Web3 data analysis: Quants can analyze data from various Web3 platforms and protocols to identify trends and make informed decisions. This may involve developing new techniques for analyzing decentralized data, such as utilizing data from on-chain transactions to gain insights into user behavior and network activity.