Quantitative Developer – Trading Infrastructure

Fintonia Group is a Singapore a licensed asset manager, with a growing presence in Kuala Lumpur, combining a strong background in traditional finance with disruptive technology.

You will be joining a fun and fast-paced environment and will be working with a small team of seasoned industry professionals with experience working at top tier global investment banks and industry leaders.

Fintonia Group has launched the first Bitcoin tracker fund managed by a Monetary Authority of Singapore licensed fund manager.

We are seeking a skilled and motivated Quantitative Developer to join our team in Kuala Lumpur. This hands-on role will contribute directly to the design and implementation of trading infrastructure across a diverse set of digital asset strategies. The ideal candidate is detail-oriented, technically strong in Python, and excited to build scalable systems that enable robust real-time execution and data processing.

This is a high-impact role that supports the organization&aposs continued innovation in the digital asset space, offering strong career development in a dynamic and fast-paced environment.

The Role:

As a Quantitative Developer at Fintonia Group, you will build and maintain the infrastructure that powers the organizations systematic and discretionary trading strategies. This includes integrating with exchanges, managing real-time data pipelines, developing execution logic, and enabling effective risk monitoring and collateral management.

Your primary responsibilities will include:

Real-time trading infrastructure

• Build and maintain Python-based trading tools and execution logic for delta-neutral and options-based strategies
• Integrate and manage exchange APIs (REST, WebSocket) across spot, futures, perpetuals, and options markets
• Develop systems for real-time market data ingestion and order book tracking

Data engineering and automation

• Design and automate data pipelines for historical and real-time data (prices, vol surfaces, funding rates, basis)
• Schedule recurring data jobs using task schedulers (e.g., Airflow)
• Maintain detailed logs and analytics for trade execution and strategy performance

Monitoring, risk management, and dashboards

• Develop alert systems for margin levels, implied vol spikes, and basis movements
• Create and maintain dashboards (e.g., Streamlit, Dash) to monitor market and portfolio parameters
• Automate margin allocation workflows and support real-time collateral visibility

Qualifications and Experience:

To be a successful applicant, you are likely to meet the following criteria:

• At least 35 years of experience in Python development, preferably in trading or financial markets
• Strong experience with exchange API integration and live data handling
• Knowledge of digital asset markets, derivatives (futures, options), and market microstructure
• Experience with dashboarding tools (e.g., Streamlit, Dash) and workflow automation
• Strong analytical mindset and attention to operational detail
• Comfortable working in a fast-moving environment with a lean and collaborative team
• Bachelors degree in Computer Science, Engineering, Mathematics, or related field