Quantitative Trading Strategy Engineer (KL)

Hytech; Kuala Lumpur; On-site; MYR 90,000 - 120,000; Full time

Job summary

Hytech is seeking a skilled automation developer in Kuala Lumpur, specializing in transforming trading strategies into automated programs. As part of the team, you will implement quantitative risk control strategies and manage automated tools.

The ideal candidate will have over three years of relevant experience in a trading environment, strong programming skills (Python, MQL4, MQL5), and a detail-oriented mindset. Join us to innovate in a fast-paced digital landscape.

Qualifications

• 3+ years of experience in trading or quantitative development.
• Strong programming skills in Python, MQL4, and MQL5.
• Experience in writing automation scripts and crawlers.

Responsibilities

• Develop automated monitoring and alerting programs from trading strategies.
• Collaborate to align program logic with strategy intent.
• Validate strategies in live environments including trading processes.
• Maintain the team's automation tools and configuration infrastructure.
• Document execution processes and results.

Skills

Python

MQL4

MQL5

Trading parameters understanding

Automation scripting

Trading experience

Job description

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations. We deliver end-to-end consulting services and provide robust middle- and back-office solutions that enable our clients to optimise operations, enhance efficiency, and stay ahead in a fast-evolving digital landscape. Our client portfolio includes top global trading platforms and leading crypto exchanges.

With more than 2,000 professionals worldwide, Hytech has a strong and growing international presence, with offices across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and beyond.

This position is primarily responsible for developing the strategy logic produced by the research team into automated programs that run in live environments, as well as executing them, recording results, and producing reports. It also maintains and optimises the team's automation tools to ensure that various strategy validations run stably and continuously. This is the key technical executor who turns strategy into tangible results.

Key Responsibilities

Quantitative Implementation of Risk Control Strategies:

• Develop the defensive logic and arbitrage characteristics produced by strategy analysts into self-running automated monitoring and quantitative alerting programs (e.g., custom indicators, monitoring scripts).

Requirement Alignment and Validation:

• Collaborate with the strategy team to confirm requirements and verify that the program logic matches the strategy intent.

Strategy Validation in Live Environments:

• Conduct strategy validation in live environments, covering account creation, identity verification, trading, and fund flow processes.

Maintenance and Optimization of the Automation Toolchain:

• Maintain the team's internal automated analysis tools and multi-account configuration infrastructure (e.g., IP management, environment isolation, anti-detection setup).

Execution Logging and Reporting:

• Record the execution process and results, and produce complete execution reports.

Minimum Qualifications

• 3+ years of experience in trading, quantitative development, or systems development at online high-frequency trading firms, forex (FX/CFD), cryptocurrency exchanges, or FinTech companies
• Programming and scripting skills (primarily Python, MQL4, MQL5)
• Experience writing crawlers and automation scripts
• Understands trading parameters and possesses parameter tuning ability

Preferred Qualifications

• Familiarity with automated environment management and multi-account configuration (e.g., IP management, verification flow handling, environment isolation)
• Experience with automated testing

Personality

• Strong self‑drive, able to independently take a task from start to finish
• Strong execution, prefers hands‑on experimentation over staying at the analysis level
• Detail‑oriented and rigorous, able to reliably document the execution process and results
• Open‑minded with a strong appetite for learning, willing to proactively adopt new tools and methods to improve work efficiency