Quantitative Researcher - WOXA GROUP
WOXA GROUP · KhonKaen
- Location
- KhonKaen
- Salary
- Negotiable
- Job Type
- Full Time
- Work Type
- Onsite
- Education
- Bachelor's Degree or Higher
- Posted
- 19/06/2026
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 both 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, simulation, and stress testing to validate model performance.
- Evaluate model stability, risk characteristics, and production readiness.
Research Workflow & Collaboration
- Contribute to building reproducible, scalable research workflows.
- Work with engineers and traders to bring research ideas into production.
- Share perspectives and help reinforce a strong 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 a related quantitative field.
Experience:
- Experience in quantitative research, systematic trading, or financial modeling.
- Experience from a proprietary trading firm, hedge fund, or systematic trading team is a strong plus.
- Experience working with high-frequency, high-dimensional, or out-of-core financial data is an advantage.
- Full ML-lifecycle experience — data generation, model calibration, validation, deployment, and live monitoring.
Basic Qualifications:
- Strong foundations in probability, statistics, optimization, and numerical methods.
- Advanced Python for quantitative research, simulation, and numerical programming.
- C++ (or C / C#) basics for working with low-latency production systems.
- Strong computer-science fundamentals (data structures, algorithms, complexity).
- Able to manage multiple parallel research projects independently with strong ownership.
Skills:
- Quantitative modeling, statistical analysis, and machine learning.
- Python data/scientific stack (Pandas, NumPy, SciPy, scikit-learn).
- Deep learning and gradient-boosting frameworks (PyTorch, TensorFlow, XGBoost, CatBoost).
- Time-series modeling and feature engineering on financial data.
- Backtesting, simulation, and benchmarking frameworks. Order-book analysis.
- Algorithmic trading strategy design and execution logic.
- Collaboration with low-latency engineering and trading teams.
- Strong analytical and problem-solving ability.
- Clear technical communication and documentation.
Personality:
- Analytical, scientific, and detail-oriented.
- Self-driven, with full ownership from idea to live result.
- Curious and creative, eager to explore new model architectures and techniques.
- Calm and resilient under pressure in a fast-moving, high-risk trading environment.
- Collaborative and communicative across cross-functional teams (researcher, engineer, trader).
- Comfortable with short feedback cycles and rapid iteration.
Benefits
- Excellent colleagues and an inspiring startup environment with international colleagues.
- Facilities at the workplace include a snooker table, ping pong table, exercise room, swimming pool, nap room, and snack and drink bar.
- Provide and support personal technical equipment and facilities.
- Provident Fund
- Staff training and development
- Overtime
- Accommodation allowance (in other provinces)
- Fuel/transportation fees
- Recreational allowance
- Per diem
- Vehicle depreciation allowance
- Telephone bill allowance
- 5-day work week
- Social security
- Health insurance
- Accident Insurance
- Flexible working hours
- Ordination leave
- Employee's uniform
- Funeral payment support
- Annual trip or party
- Performance/results-based bonus
- Annual bonus
About WOXA GROUP
WOXA Group was established as an investment holding company with a clear purpose: to build and own exceptional businesses for the long term. Unlike traditional investors seeking quick exits, we take ownership positions with the intention of nurturing companies for decades.
With headquarters in Thailand and operations in Lithuania, our holding structure bridges two continents. This dual presence allows us to identify opportunities across Asia and Europe while maintaining the operational expertise to help our portfolio companies succeed.
742 หมู่ที่ 12 ตำบลศิลา อำเภอเมืองขอนแก่น จังหวัดขอนแก่น 40000
Siriyakorn Sadao
043-306-286
