Trading Analyst

Tardis Group; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Tardis Group seeks a technically skilled professional to strengthen front-office trading operations in Hong Kong. You will build Python-based tools, automate daily workflows, and collaborate with traders, quants, and risk teams to improve execution controls.

Real-time monitoring and robust dashboards will be part of your daily responsibilities. The role emphasizes strong Python coding, SQL proficiency, and the ability to communicate with business stakeholders in a fast-paced trading environment.

Qualifications

• Bachelor's degree or higher in a quantitative field or equivalent.
• 0–5 years of experience in front-office trading, quant, tech, or automation roles.
• Strong Python skills and solid knowledge of SQL/database management.

Responsibilities

• Build, deploy, and maintain Python scripts, internal apps, and automation tools for daily front-office activities.
• Streamline trade capture, lifecycle management, and real-time monitoring across regional products.
• Design dashboards, alert systems, and data pipelines to optimize workflows and reduce manual touchpoints.
• Collaborate with traders, quants, risk, and tech teams to resolve bottlenecks and upgrade platforms.
• Ensure code quality and deployment discipline per institutional engineering standards.

Skills

Python

SQL

Education

Bachelor's degree

Job description

You will sit directly on the desk, leveraging software engineering and data tools to streamline trade flows, build internal tooling, and enhance execution controls in a fast-paced environment.

Key Responsibilities

• Build, deploy, and maintain robust Python scripts, internal applications, and automation tools to support daily front-office activities.
• Streamline trade capture, lifecycle management, position reconciliation, and real-time monitoring across regional products.
• Design interactive dashboards, alert systems, and data pipelines to optimize operational workflow and reduce manual touchpoints.
• Collaborate directly with traders, quants, risk, and core technology teams to resolve operational bottlenecks and execute strategic platform upgrades.
• Ensure code quality, scalability, and stability by adhering to institutional software engineering standards (version control, testing, deployment).

Key Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, Finance, or related quantitative discipline.
• 0-5 years of experience in a front-office trading, quantitative, technology, or automation-focused role.
• Strong proficiency in Python and solid working knowledge of SQL/database management.
• Understanding of financial markets, equity derivatives/delta one products, or automated trade booking flows is preferred.
• Exceptional analytical capability, sharp problem-solving skills, and the confidence to communicate directly with key business stakeholders in a fast-paced trading environment.