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Quantitative Developer – Trading Infrastructure

Quantitative Developer – Trading Infrastructure

Fintonia GroupKuala Lumpur, Kuala Lumpur, Malaysia
25 hari lalu
Penerangan pekerjaan

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
  • Buat amaran kerja untuk carian ini

    Quantitative Trading • Kuala Lumpur, Kuala Lumpur, Malaysia

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