Researcher - Michael Page

Newly created headcount

• Established and growing firm

About Our Client

Client is a technology-driven digital finance firm that operates across digital asset trading, market making, and financial infrastructure. The organisation applies advanced technologies such as blockchain, machine learning, and quantitative financial engineering to build institutional-grade crypto market infrastructure and deep liquidity networks spanning both centralized and decentralized markets.

The firm fosters a fast-moving, collaborative environment focused on data-led decision-making, operational excellence, and innovation within the digital asset ecosystem.

Job Description

Key Responsibilities

• Conduct thorough quantitative and qualitative due diligence on potential fund investments.
• Assess performance, risk characteristics, and strategy resilience of crypto-focused quantitative funds.
• Design and enhance systematic frameworks for asset selection, portfolio construction, and risk management.
• Track and analyse existing investments, providing actionable insights on performance and market conditions.

• Examine crypto market microstructure, liquidity conditions, and execution quality to inform investment views.
• Research and evaluate quantitative trading approaches, including statistical arbitrage and trend-based strategies.
• Develop proprietary models to assess risk-adjusted returns and optimise portfolio allocation.
• Stay informed on regulatory developments, market trends, and technological innovations within digital assets.

• Support the build-out and optimisation of a diversified portfolio of quantitative crypto strategies.
• Monitor risk exposures, leverage, and correlations across strategies and underlying managers.
• Work closely with risk and operations teams to ensure alignment with investment mandates and governance standards.

The Successful Applicant

Requirements

• Degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Engineering, or a related discipline (advanced degrees welcomed).
• Prior experience in quantitative research at a hedge fund, proprietary trading firm, or digital asset-focused organisation.
• Hands-on exposure to quantitative crypto trading strategies or AI-driven alpha research is highly advantageous.

• Strong programming skills in Python, R, SQL, or similar languages for data analysis and model development.
• Advanced knowledge of statistical methods, machine learning techniques, and financial time-series modelling.
• Understanding of crypto exchanges, market structures, and algorithmic trading environments.

• Strong analytical mindset with a structured, data-oriented approach to problem solving.
• Comfortable operating in a fast-evolving, high-growth environment.
• Able to communicate complex analytical findings clearly to investment and risk stakeholders.

What's on Offer

Competitive salary package