Quantitative Trader - AlgoQuant Asset Management
Reporting Into: Portfolio Manager
Preferred Locations: London, New York, or Dubai (fully remote)
About AlgoQuant Asset Management
AlgoQuant Asset Management is an ambitious and pioneering multi-strategy crypto asset manager. For over five years, we have operated as a proprietary trading firm, making tactical allocations to both internal and external quantitative trading teams.
In 2024, Michael Ashby joined as CEO, bringing expertise from leading Point72’s digital assets division across quant, venture, and macro trading. With a strengthened executive team, we are transitioning into an investment management firm, managing external capital while leveraging our technology, risk management expertise, and deep market experience.
At AlgoQuant, we believe in the power of both internal and external teams, casting a wide net for new ideas, identifying world-class talent, and diversifying our alpha sources.
Role Overview
We are looking for a highly motivated Quantitative Trader to join one of our internal Portfolio Management teams. This is a hands-on, execution-oriented role that sits at the intersection of trading, research, and technology. You will be directly involved in executing block trades, optimizing execution strategies, and working with complex derivatives products, especially options. This is a high-impact opportunity for someone who is not only technically skilled but also deeply curious and capable of using AI and automation to gain an edge in dynamic markets.
Key Responsibilities
- Execute and manage trades across multiple centralized and decentralized crypto exchanges, ensuring efficient, accurate, and secure execution of block trades.
- Work closely with the Portfolio Manager to identify and implement optimal execution strategies using both systematic and discretionary approaches.
- Conduct research on execution algorithms and market microstructure to improve slippage, latency, and overall trade performance.
- Develop and maintain tools and dashboards for trading analytics, trade performance attribution, and risk analysis.
- Monitor open positions, order books, and market activity in real time to ensure adherence to risk limits, execution benchmarks, and portfolio objectives.
- Generate and deliver regular reporting on trading performance, execution quality, market conditions, and risk exposures.
- Ensure comprehensive documentation of trades, strategies, and decisions for audit, compliance, and internal knowledge sharing.
- Apply options theory and a deep understanding of derivatives mechanics to manage and evaluate structured products and options positions.
- Collaborate with researchers and engineers to prototype and productionize trading strategies, execution logic, and AI-powered decision tools.
- Use AI, ML, and data science methodologies to enhance trading workflows, alpha signal processing, or strategy monitoring.
- Maintain and improve trading infrastructure, data pipelines, and backtesting environments using Python and other modern technologies.
Minimum Qualifications
- 2+ years of experience working directly with exchange or broker terminals and trading tools.
- Proven experience executing block trades in high-volatility or low-liquidity environments.
- Strong understanding of options theory, including derivatives pricing mechanics, Greeks, and risk scenarios.
- Solid grasp of optimized execution research (e.g., TWAP/VWAP strategies, slippage minimization, smart order routing).
- Advanced Python programming skills, including working with APIs, data wrangling libraries (e.g., Pandas, NumPy), and automation frameworks.
- Demonstrated ability to apply critical thinking in high-stakes or ambiguous trading scenarios.
- Familiarity with machine learning, AI, or automation frameworks as applied to financial trading or operations.
- Experience working collaboratively in a remote, high-performance team environment.
Preferred Qualifications
- Exposure to crypto markets.
- Experience with derivatives risk management platforms and real-time trade surveillance.
- Background in quantitative research or systematic strategy development.
- Strong communication skills; ability to clearly present findings, decisions, and execution logic to portfolio managers and researchers.
- Familiarity with cloud infrastructure and version control (e.g., AWS, Git).
Why Join Us
- Global, remote-first environment with a flat, collaborative structure.
- Access to cutting-edge tools, data, and technology to innovate in one of the most exciting markets.
- Join a high-performance team where your contributions are recognized and rewarded
- Work at the intersection of finance, technology, and AI — helping shape the future of quantitative investing in crypto.
