Quantitative Trading Analyst

DUOTECH PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A global management consulting firm in Singapore is seeking an experienced quantitative researcher to enhance trading strategies through data-driven modeling and machine learning techniques. You will monitor trading systems, perform quantitative analyses, and communicate market insights effectively. Ideal candidates have at least 3 years of relevant experience and a strong programming background in languages like Python or R.

Qualifications

• At least 3 years of experience in quantitative research/analysis with a focus on machine learning, algorithms, optimization, or statistics.
• Familiarity with programming in Python, R, or similar languages.
• Ability to advocate for perspectives on trading strategies and risk concisely.

Responsibilities

• Research and apply existing trading strategies through data-driven modeling.
• Perform quantitative research on trade and market data, including post-trade analysis.
• Monitor trading systems in real time and identify anomalies.
• Design, develop, and backtest new models and trading strategies.

Skills

Quantitative research

Machine learning

Statistical analysis

Python programming

R programming

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 with 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