Trading Analysis (Middle/Intern)

About the company

The20 is a blockchain agency. We deploy advanced trading strategies, leveraging proprietary algorithms and cutting-edge technology to optimize market performance, capitalize on price inefficiencies, and enhance trading efficiency.

At The20, we foster a culture that blends creative thinking with a results-driven mindset. Employees are encouraged to propose innovative ideas, challenge conventional approaches, and continuously improve. We value collaboration, where exceptional ideas are recognized from anyone, anywhere.

About the Trading Analyst Role

As a Trading Analyst at The20, you will take on a pivotal role in developing and optimizing quantitative trading strategies across multiple financial markets. Building upon your prior experience in research and strategy development, you will work closely with our trading and research teams to design, backtest, and deploy scalable trading models. This position offers an opportunity to contribute directly to live trading operations while continuing to innovate in the fields of Quantitative Trading, Quantitative Research, Algorithmic Trading, and MM.

At The20, research excellence drives our success. Our analysts employ rigorous data-driven methods to uncover inefficiencies, generate predictive signals (alphas), and enhance execution performance. You will play a key role in refining these models, optimizing performance metrics such as Sharpe ratio, drawdown, and trade efficiency, and transforming theoretical insights into profitable real-world trading systems.

Key Responsibility

• Design, develop, and backtest quantitative trading strategies across diverse asset classes, including cryptocurrencies, equities, forex, and commodities.

• Optimize and implement trading algorithms, focusing on model robustness, execution efficiency, and risk-adjusted returns.

• Conduct statistical and econometric research to uncover new sources of alpha and enhance existing models.

• Analyze historical and real-time market data to identify trends, patterns, and structural inefficiencies.

• Collaborate with senior traders and researchers to refine trading tools, risk management frameworks, and MM strategies.

• Document research findings, model assumptions, and strategy performance for both internal review and deployment.

What you will bring

Mandatory Requirements:

For Middle level:

• 2+ years of experience in Quantitative Trading, Trading Analyst, Quantitative Research, or Algorithmic Trading roles.

• Demonstrated experience working with real trading strategies (live or production-level backtesting), with a clear understanding of performance, risk, and execution constraints.

• Strong programming skills in Python and/or C++, with solid foundations in data analysis, algorithms, and statistical modeling, and the ability to apply AI/ML techniques (e.g., machine learning models, deep learning, or LLM-based tools) to enhance research, automate workflows, and improve trading strategy development.

• A research-oriented mindset, with the ability to approach problems systematically through hypothesis testing, validation, and iteration.

• Solid understanding of financial markets, market microstructure, and trading dynamics.

• Ability to think independently, challenge assumptions, and propose data-driven ideas while remaining open to feedback and iteration.

• Strong communication skills, with the ability to clearly explain models, results, and complex concepts.

• Preferred Requirements (Bonus):

• BS (Hons) or MS in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, or Quantitative Finance.

• Track record of strategy performance (live or backtested), portfolio, or documented research.

• Public or visible contributions such as research papers, technical blogs, open-source projects, or competition participation.

• Experience in machine learning, deep learning, or advanced quantitative techniques.

• Ability or experience in teaching, mentoring, or explaining complex quantitative/trading concepts in a clear and structured way.

For Intern:

• For Intern - Strong programming skills in Python and/or C++ are a must.

• BS (Hons) or MS in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, or Quantitative Finance.

• A strong interest in career development within the Quantitative Trading field

What you can expect

For Middle level

• Salary: From 12.000.000 VNĐ - 20.000.000 VNĐ ++

• 1 month probationary period, 85% salary. Lunch allowance after signing the labor contract

• Bonuses on holidays, Tet, performance-based bonuses, and achievement awards.

• Opportunity to work in a modern, dynamic, and progressive environment.

• Entitled to company benefits and legal welfare policies.

• Lunch and parking allowances are provided.

For Intern

• Monthly allowance

• Professional and skill development training, including business and soft skills.

• Entitled to company benefits and legal welfare policies.

• Lunch and parking allowances are provided.

• Growth & Collaboration Opportunities:

• Opportunity to present ideas and seek internal funding to deploy high-potential trading strategies with meaningful capital.

• Participate in academic and industry research, with opportunities to co-author papers and build professional reputation in quantitative trading.

• Contribute to R&D initiatives for educational programs and workshops in manual trading and quantitative trading, in collaboration with leading domestic and international enterprises.

• Engage with cutting-edge Market Making operations, advanced portfolio optimization techniques, and AI-driven research workflows.

• Opportunity to mentor or contribute to internal/external training, strengthening both technical depth and communication skills

Formal work: Onsite at 27 Le Van Luong, Thanh Xuan, Hanoi

Working time: 8:30 am - 17:30 am, Monday to Friday, 2 Saturdays per month.

Please send CV and portfolio in English to email: recruitment@hrglobalvn.com or you can simply apply directly on our website.