Quantitative Trader (Fintech)

TL;DR

Quantitative Trader (Fintech): Designing, implementing, and optimizing mid-frequency trading strategies using statistical and machine learning techniques with an accent on alpha generation, market inefficiencies, and low-latency performance. Focus on analyzing large datasets, deploying robust trading algorithms, and adapting to changing market conditions.

Location: Hong Kong

Company

hirify.global is a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business.

What you will do

• Design and backtest mid-frequency trading strategies using statistical and machine learning techniques.
• Analyze large datasets, including market and alternative data, to uncover predictive signals.
• Collaborate with execution teams to minimize slippage and transaction costs.
• Monitor portfolio risk, set appropriate risk limits, and adjust strategies.
• Code and deploy robust, scalable trading algorithms in Python, C++, or similar languages.
• Continuously evaluate strategy performance, refine models based on live trading results, and adapt to changing market conditions.
• Work closely with quantitative researchers, developers, and other traders to integrate strategies into the firm's trading infrastructure.

Requirements

• Bachelor's, Master's, or PhD in a quantitative discipline (e.g., Mathematics, Statistics, Physics, Computer Science, Financial Engineering).
• 3-7 years of experience in quantitative trading, preferably in mid-frequency strategies at a proprietary trading firm, hedge fund, or investment bank.
• Proven track record of developing profitable trading strategies in equities and futures markets, with a Sharpe ratio consistently greater than 2.
• Proficiency in programming languages such as Python, C++, or Java for strategy development and data analysis.
• Experience with data analysis tools (e.g., Pandas, NumPy) and databases.
• Deep understanding of market microstructure, liquidity dynamics, and trading costs in relevant asset classes.
• Strong statistical and probabilistic reasoning, with the ability to translate insights into actionable trading strategies.
• Excellent problem-solving, communication, and teamwork skills, with the ability to thrive in a high-pressure environment.

Nice to have

• Familiarity with machine learning frameworks.
• Knowledge of alternative data sources and their application in trading.
• Familiarity with cloud-based infrastructure (e.g., AWS, GCP) for data processing and model deployment.

Culture & Benefits

• Join a leading proprietary trading firm with an entrepreneurial and innovative culture.
• Work in a fast-paced, collaborative environment.
• Opportunity to make full use of your capacities in a challenging setting.