Quantitative Analyst

ABOUT HYTECH

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations. We deliver end-to-end consulting services and provide robust middle- and back-office solutions that enable our clients to optimise operations, enhance efficiency, and stay ahead in a fast-evolving digital landscape. Our client portfolio includes top global trading platforms and leading crypto exchanges.

With more than 2,000 professionals worldwide, Hytech has a strong and growing international presence, with offices across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and beyond.

Role Overview

We are seeking a Quantitative Trading Analyst to support CCS and algorithmic trading initiatives. This role is heavily focused on quantitative analysis, backtesting, and strategy evaluation

Responsibilities

• Assist in algorithmic trading projects, focusing on coding, quantitative analysis, and model enhancement.
• Conduct data analysis and quantitative research to support the development, evaluation, and refinement of trading strategies.
• Perform backtesting and performance analysis of trading strategies, indicators, and patterns across different asset classes.
• Apply statistical methods and machine learning techniques to identify market patterns, correlations, and risk signals.
• Design and develop tentative solutions and prototypes to address team tasks, research hypotheses, and trading ideas.
• Support risk management analysis, including monitoring abnormal trading behavior, strategy drawdowns, and exposure.
• Continuously challenge existing methodologies and contribute new ideas to improve strategy effectiveness and system stability.

Requirements

• Bachelor's or above in Physics, Computer Science, Mathematics, Engineering, Financial Engineering, Actuarial Science, or related quantitative fields.
• Hands-on experience in Python-based quantitative analysis, including use of libraries such as NumPy, SciPy, Pandas, Polars, or equivalent.
• Working knowledge of R, statistical modeling, regression, correlation analysis, and basic machine learning techniques.
• Experience or strong exposure to quantitative analysis in risk management, trading strategy development, or financial modeling.
• Familiarity with backtesting frameworks, pattern analysis, and evaluating strategy performance metrics (e.g. P&L, Sharpe Ratio, drawdowns).
• Fluency in English; Mandarin proficiency is a strong advantage.

What We Offer

• Competitive salary and benefits package.
• Opportunity to work on algorithmic trading, quantitative research, and risk-focused projects.
• Exposure to real-world trading systems, pricing models, and data-intensive environments.
• Professional growth through hands-on involvement in complex fintech and financial market projects.
• A collaborative, inclusive, and intellectually challenging work culture.