Job Description – Quant Trader

Industry: Digital Assets / Crypto Trading

Overview

A leading digital asset trading firm is seeking an experienced Quant Trader to join its Quantitative Trading team. This team is responsible for executing and managing risk across a broad range of crypto products, including spot and derivative instruments, within highly dynamic and fast-moving markets.

The role sits at the intersection of quantitative research, systematic trading, and real- time market execution. The successful candidate will play a critical role in strategy execution, performance optimisation, and risk management, while working closely with trading developers and quantitative researchers to continuously enhance trading systems and decision-making frameworks.

Key Responsibilities

• Execute and manage systematic trading strategies across spot and derivative crypto products, ensuring robust performance and disciplined risk control

• Oversee day-to-day trading operations, optimising the use of resources to ensure efficient execution and operational resilience

• Monitor, analyse, and report daily market conditions, trading performance, risk exposures, P&L, and other key trading metrics

• Perform detailed post-trade and performance analysis to identify inefficiencies, refine strategies, and improve algorithmic outcomes

• Collaborate closely with trading developers and engineers to enhance pricing models, execution logic, booking processes, and trading infrastructure

• Contribute to the continuous improvement of trading frameworks, tooling, and automation within a high-frequency, data-driven environment

• Apply advanced analytical techniques and AI-driven tools to enhance productivity, insight generation, and trading effectiveness

• Maintain strong risk awareness and decision discipline during periods of market volatility and high pressure

Requirements

• Master’s degree or higher in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Physics, or related field from a top- tier global university

• Minimum 5+ years of experience in systematic, quantitative, or electronic trading environments (crypto, FX, equities, or derivatives)

• Strong programming skills in Python, C++, or Java, with a clear appetite to deepen technical expertise

• Proven experience working with data-intensive systems and algorithmic trading strategies

• Demonstrated ability to effectively leverage AI and advanced analytical tools to increase efficiency and output

• Exceptional analytical and problem-solving skills with strong attention to detail

• Ability to perform decisively and accurately under pressure in fast-paced trading environments

• Strong communication skills and experience working cross-functionally with engineering and quantitative teams