Quantitative Developer

Tardis Group; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Tardis Group in Hong Kong is seeking a Quantitative Developer to join a top-tier hedge fund. This hands-on role collaborates with investment professionals to build tools that support research, risk management and trading, while owning the full development lifecycle.

You will work on data ingestion, backend services and visualization, ensuring reliability and scalability. Strong Python, data processing, APIs, and experience with React or Dash are essential. Relocation support is available.

Qualifications

• 2–5 years of experience in a buy-side or sell-side environment, ideally in a STRAT, quantitative development or forward-deployed engineering role.
• Strong Python skills and experience across the technology stack, including data processing, APIs and front-end tools such as React or Dash.
• Experience with machine learning or AI is a plus.

Responsibilities

• Build and enhance tools for research, portfolio construction and risk management.
• Develop end-to-end solutions, from data ingestion and backend services to visualisation and workflow applications.
• Support investment professionals with day-to-day trading and technology issues.
• Take ownership of the development lifecycle, including requirements gathering, architecture, coding, testing and ongoing support.
• Maintain and improve data and trading infrastructure, with a focus on reliability, scalability and data quality.
• Explore opportunities to apply AI to analytics.
• Work closely with stakeholders across investment, technology, quantitative research and risk.

Skills

Python

Quantitative analysis

Data processing

APIs

Machine learning

Education

STEM degree

Tools

React

Dash

Job description

We are looking for a Quantitative Developer to join a top-tier hedge fund firm in Hong Kong.

This is a hands-on opportunity for a quantitative developer or engineer who enjoys working closely with investment professionals and building tools that support research, risk management and trading.

Key Responsibilities

• Build and enhance tools for research, portfolio construction and risk management.
• Develop end-to-end solutions, from data ingestion and backend services to visualisation and workflow applications.
• Support investment professionals with day-to-day trading and technology issues.
• Take ownership of the development lifecycle, including requirements gathering, architecture, coding, testing and ongoing support.
• Maintain and improve data and trading infrastructure, with a focus on reliability, scalability and data quality.
• Explore opportunities to apply AI to analytics.
• Work closely with stakeholders across investment, technology, quantitative research and risk.

Requirements

• 2-5 years of experience in a buy-side or sell-side environment, ideally in a STRAT, quantitative development or forward-deployed engineering role.
• Experience with order and portfolio management systems and their integration points; exposure to equities is preferred.
• Strong Python skills and experience across the technology stack, including data processing, APIs and front-end tools such as React or Dash.
• A degree in a STEM discipline and strong quantitative skills.
• Experience with machine learning or AI is a plus.
• A proactive approach and the ability to balance longer-term projects with time-sensitive requests.

Location: Hong Kong. Relocation support is available.