Quantitative Analyst

DUOTECH PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A financial technology firm in Singapore is seeking a Quantitative Trading Analyst to support algorithmic trading and quantitative research initiatives. This role requires strong skills in Python-based quantitative analysis and statistical methods. Responsibilities include conducting data analysis, performing backtesting, and developing trading strategies. The firm offers a competitive salary and opportunities for professional growth within a collaborative and challenging work environment.

Benefits

Competitive salary and benefits package

Professional growth opportunities

Collaborative work culture

Qualifications

• Hands-on experience in Python-based quantitative analysis.
• Working knowledge of statistical modeling and regression.
• Exposure to quantitative analysis in risk management.

Responsibilities

• Assist in algorithmic trading projects with quantitative analysis.
• Conduct data analysis to support trading strategy development.
• Perform backtesting and evaluate trading strategies.

Skills

Python-based quantitative analysis

Statistical modeling

Data analysis

Machine learning techniques

Fluency in English

Mandarin proficiency

Tools

NumPy

SciPy

Pandas

Polars

Job description

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

• 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.