Portfolio Manager

Fasanara Capital is a boutique alternative asset manager, offering access to a range of inventive multi-asset capacity-constrained niche products. Over the past 14 years, we have pursued unorthodox portfolio construction and unconventional investment strategies in response to today’s transformational markets.

Fasanara Digital was established 7 years ago and is the crypto arm of Fasanara Capital. We are a quantitative investment fund applying a scientific approach to investing in digital assets. Our goal is to achieve exceptional risk-adjusted returns through a diverse range of sophisticated systematic strategies. We seek to profit from structural inefficiencies across crypto markets, deploying capital across opportunities ranging from market making and liquidity provision to cross-exchange arbitrage and other quantitative trading strategies.

We are strong believers in meritocracy and seek to reward people based on impact and excellence. There is no bureaucracy of large organisations; our environment is collaborative, entrepreneurial and built on trust. We set ambitious goals, work extremely hard, stress teamwork, and adhere to the highest standards in everything we do. We are only as good as our team, and we are building the firm around exceptional talent.

We are looking for an experienced Portfolio Manager to join our growing quantitative trading team and take ownership of a dedicated risk book within Fasanara Digital.

This is a highly entrepreneurial role offering significant autonomy, direct P&L ownership, and the opportunity to deploy capital across some of the most dynamic and inefficient markets globally. You will be responsible for researching, developing, and managing systematic trading strategies across crypto markets, with full accountability for performance, risk management, and capital allocation.

• →Own and manage a dedicated risk book, with full accountability for P&L, risk exposures, and capital efficiency.
• →Research, develop, validate, and deploy systematic high-frequency and/or mid-frequency trading strategies across crypto markets.
• →Lead the full strategy lifecycle, from idea generation and research through to live deployment and ongoing optimisation.
• →Manage risk in real time, including position sizing, exposure management, drawdown control, and adherence to allocated risk budgets.
• →Continuously refine models, signals, and execution methodologies in response to changing market conditions and strategy performance.
• →Collaborate closely with execution and infrastructure teams to minimise latency, slippage, and implementation shortfall.
• →Analyse large-scale market datasets to identify new opportunities and improve existing strategies.
• →Maintain clear documentation of strategy design, risk frameworks, research findings, and performance attribution.
• →Communicate portfolio positioning, performance, and risk exposures effectively to internal stakeholders.
• →Contribute to the broader research culture by sharing insights, ideas, and best practices across the investment team.

• A demonstrable track record of profitably managing a systematic trading book or strategy, ideally with direct P&L ownership.
• At least 5 years of experience in quantitative trading, portfolio management, or a closely related field.
• An advanced degree in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, or Data Science.
• Strong foundation in statistics, quantitative modelling, and data analysis, with hands-on experience using Python and SQL.
• Proven experience working with large-scale, high-frequency or mid-frequency time-series datasets.
• Deep understanding of risk management, portfolio construction, position sizing, and capital allocation.
• Proficiency working in Linux-based environments and familiarity with production research and trading workflows.
• Ability to operate independently in a fast-paced, performance-driven environment while maintaining rigorous attention to detail and risk discipline.
• A self-directed, entrepreneurial mindset combined with a collaborative approach to problem-solving.
• Strong communication skills and a market-focused perspective, with the ability to translate research into actionable trading decisions.
• Prior experience in digital assets, electronic trading, market making, arbitrage, or other systematic trading strategies is highly desirable.