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Quantitative Developer – Trading Infrastructure

Fintonia GroupKuala Lumpur, Kuala Lumpur, Malaysia

25 days ago

Job description

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's 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 organization's 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 3–5 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

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

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Quantitative Trading • Kuala Lumpur, Kuala Lumpur, Malaysia