Portfolio Manager

Own a dedicated risk book within Fasanara Digital, researching, developing, and managing systematic high-frequency and mid-frequency crypto trading strategies with full accountability for performance, risk management, and capital allocation.

Responsibilities

• Own and manage a dedicated risk book with accountability for P&L, risk exposures, and capital efficiency.
• Research, develop, validate, and deploy systematic high-frequency and mid-frequency trading strategies across crypto markets.
• Lead the strategy lifecycle from idea generation and research through live deployment and optimisation.
• Manage risk in real time, including position sizing, exposure management, drawdown control, and risk budgets.
• Refine models, signals, and execution methodologies in response to market conditions and strategy performance.
• Collaborate with execution and infrastructure teams to minimise latency, slippage, and implementation shortfall.
• Analyse large-scale market datasets to identify opportunities and improve strategies.
• Document strategy design, risk frameworks, research findings, and performance attribution.
• Communicate portfolio positioning, performance, and risk exposures to internal stakeholders.
• Share insights, ideas, and best practices across the investment team.

Requirements

• 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.
• Advanced degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Data Science, or another quantitative discipline.
• Strong foundation in statistics, quantitative modelling, and data analysis, with hands-on Python and SQL experience.
• Experience with large-scale, high-frequency or mid-frequency time-series datasets.
• Deep understanding of risk management, portfolio construction, position sizing, and capital allocation.
• Proficiency in Linux-based environments and production research and trading workflows.
• Ability to work independently in a fast-paced, performance-driven environment with rigorous risk discipline.
• Self-directed, entrepreneurial mindset combined with collaborative problem-solving.
• Strong communication skills and ability to translate research into actionable trading decisions.
• Prior experience in digital assets, electronic trading, market making, arbitrage, or systematic trading is highly desirable.

Benefits

• Enhanced Pension Scheme – 10% matching
• Bupa Private Medical Insurance – comprehensive cover
• Competitive Bonus Scheme – performance-based rewards
• Enhanced Annual Leave – increasing to 28 days with service
• Enhanced Family Leave & Family Health Benefits
• Fertility, reproductive health and menopause support
• Cycle to Work Scheme