Quantitative Trading Analyst

DUOTECH PTE. LTD.; Singapore; On-site; SGD 75,000 - 95,000; Full time

Job summary

A leading management consulting firm in Singapore seeks experienced professionals to research and apply trading strategies using data-driven analysis. The successful candidate will have at least 3 years of relevant experience in quantitative research, focusing on machine learning and algorithm development. Responsibilities include monitoring trading systems and proposing actionable improvements. This role offers an opportunity to work in a dynamic environment and contribute to innovative practices in financial services.

Qualifications

• Minimum 3 years of experience in quantitative research or analysis.
• Proficient in machine learning, algorithms, optimization, or statistics.
• Ability to clearly communicate perspectives on trading strategies.

Responsibilities

• Research and apply existing trading strategies to new products.
• Perform quantitative research on trade and market data.
• Monitor trading systems in real-time for anomalies.

Skills

Quantitative research

Machine learning

Statistical analysis

Python programming

Algorithm development

Job description

About the company

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.

With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, and more.

Responsibilities:

• Research and apply existing trading strategies to new financial products through data-driven modeling and analysis.
• Perform quantitative research on trade and market data, including post-trade analysis, to refine and improve strategies.
• Monitor trading systems in real time, identify anomalies or inefficiencies, and propose actionable improvements.
• Communicate key market events, news, and system performance updates clearly and concisely to team members.
• Design, develop, and backtest new models and trading strategies using advanced statistical and machine learning techniques.
• Utilize mathematical modeling and algorithmic methods to detect trading signals, forecast market movements, and optimize execution.
• Evaluate and challenge existing methodologies to enhance performance and contribute to continuous innovation.
• Ensure product quotations remain stable, accurate, and timely to maintain top-tier execution quality within the industry.

Requirements:

• At least 3 years of experience in quantitative research/ analysis with a focus on machine learning, algorithms, optimization, or statistics.
• Familiarity programming in Python, R, or similar languages
• Can advocate for your perspectives on trading strategies and risk in a concise manner to the team
• Familiarity with market microstructure concepts, synthetic products, and electronic trading environments