Your new company

You will be working at a FinTech company in Singapore

Your new role

As a Machine Learning Engineer, you will be responsible for:

• Design and implement ML solutions for financial markets, including predictive models and autonomous AI agents using LLMs.
• Develop intelligent systems leveraging both traditional ML techniques (e.g., time series analysis, anomaly detection) and modern agentic frameworks like LangChain.
• Extract actionable insights from large-scale financial data using quantitative methods and data mining techniques.
• Build robust end-to-end ML pipelines for model development, backtesting, deployment, and monitoring.
• Collaborate with financial experts to create scalable ML solutions for risk assessment, portfolio optimization, and research platforms combining classical and LLM-based approaches.

What you’ll need to succeed

• Bachelor's degree in Computer Science, Data Engineering, Machine Learning, or a related field
• 3+ years in ML engineering, quantitative research, or data science with hands-on work in production systems.
• Strong Python & SQL skills with expertise in scientific libraries (e.g., pandas, numpy, scikit-learn) and diverse ML techniques including deep learning and time series forecasting.
• Familiarity with LLMs, prompt engineering, agentic systems, and strong quantitative/statistical abilities for solving real-world problems.
• Experience in financial systems is a plus; effective communicator with the ability to present insights to varied audiences.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email [email protected]. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D