Quantitative Researcher

About the Role

WOXA GROUP is looking for an experienced Quantitative Researcher to research financial market behavior, identify trading opportunities, and develop systematic trading strategies.

You will work with historical and real-time market data, design quantitative models, validate research findings, and collaborate with engineers and traders to bring research ideas into production.

Responsibilities
Quantitative Research & Strategy Development

• Research market behavior and trading opportunities, with a primary focus on equity markets.

• Generate new ideas and design systematic trading strategies using statistical and quantitative methods.

• Assess the feasibility and scalability of research outputs.

Data Analysis & Signal Research

• Analyze historical and real-time market data to identify patterns and predictive signals.

• Test the statistical significance and robustness of research findings.

• Explore under-utilized segments of the equity market in search of hidden alpha.

Model Design & Validation

• Design and prototype quantitative models using a Python-based research framework.

• Run backtesting, simulations, and stress testing to validate model performance.

• Evaluate model stability, risk characteristics, and production readiness.

Research Workflow & Collaboration

• Contribute to building reproducible and scalable research workflows.

• Work closely with engineers and traders to bring research ideas into production.

• Share research perspectives and help strengthen research culture and best practices across the team.

Qualifications
Education

• Bachelor’s or Master’s degree in Mathematics, Physics, Statistics, Computer Science, Engineering, Economics, or another related quantitative field.

Experience

• Experience in quantitative research, systematic trading, or financial modeling.

• Experience working at a proprietary trading firm, hedge fund, or systematic trading team is a strong advantage.

• Experience working with high-frequency, high-dimensional, or out-of-core financial data is an advantage.

• Experience across the full machine-learning lifecycle, including data generation, model calibration, validation, deployment, and live monitoring.

Technical Qualifications

• Strong foundations in probability, statistics, optimization, and numerical methods.

• Advanced Python skills for quantitative research, simulation, and numerical programming.

• Basic knowledge of C++, C, or C# for working with low-latency production systems.

• Strong computer science fundamentals, including data structures, algorithms, and computational complexity.

• Ability to manage multiple research projects independently with a strong sense of ownership.

Preferred Skills

• Quantitative modeling, statistical analysis, and machine learning.

• Python scientific and data libraries, including Pandas, NumPy, SciPy, and scikit-learn.

• Deep-learning and gradient-boosting frameworks, including PyTorch, TensorFlow, XGBoost, and CatBoost.

• Time-series modeling and feature engineering using financial data.

• Backtesting, simulation, and benchmarking frameworks.

• Order-book analysis.

• Algorithmic trading strategy design and execution logic.

• Experience collaborating with low-latency engineering and trading teams.

• Strong analytical and problem-solving skills.

• Clear technical communication and documentation skills.

Who You Are

• Analytical, scientific, and detail-oriented.

• Self-driven and able to take full ownership from research ideas to live results.

• Curious and creative, with an interest in exploring new model architectures and techniques.

• Calm and resilient under pressure in a fast-moving trading environment.

• Collaborative and able to communicate effectively with researchers, engineers, and traders.

• Comfortable working with short feedback cycles and rapid iteration.

Benefits

• Opportunity to work with excellent colleagues in an inspiring international startup environment.

• Workplace facilities, including a snooker table, table tennis, exercise room, swimming pool, nap room, and snack and beverage bar.

• Personal technical equipment and workplace facilities.

• Provident fund.

• Employee training and development.

• Overtime compensation.

• Accommodation allowance for employees relocating from other provinces.

• Transportation and fuel allowance.

• Five-day work week.

• Social Security.

• Health insurance.

• Annual bonus.

Work Information

• Location: Khon Kaen, Thailand

• Work Type: On-site

• Employment Type: Full-time

• Experience: 5–7 years

• Education: Bachelor’s degree or higher

• Salary: Negotiable