Data Scientist - Quant

Michael Page; Kuala Lumpur; On-site; MYR 80,000 - 100,000; Full time

Job summary

A medium-sized technology organization in Kuala Lumpur is hiring a Data Scientist to lead quant projects and collaborate on data-driven solutions. The ideal candidate has a strong background in Actuarial Science or a related field with a minimum of 5 years of relevant experience. Proficiency in Python and excellent project management skills are essential. This role offers a 1-year contract with competitive benefits and the opportunity to work on innovative projects in the technology and telecoms sector.

Benefits

Completion Bonus - 1 month

Medical Benefits

Professional development opportunities

Qualifications

• Minimum 5 years of relevant working experience in actuarial, quant, or data-driven roles.
• Strong grounding in actuarial or quantitative concepts and principles.
• Ability to thrive in a fast-paced and evolving environment.

Responsibilities

• Lead and manage end-to-end quant/actuarial projects.
• Build, validate, and deploy detection signals across markets.
• Collaborate with cross-functional stakeholders to implement data-driven solutions.

Skills

Python programming

Project management

Analytical thinking

Problem-solving

Predictive modeling

Education

Qualification in Actuarial Science or related discipline

Tools

Statistical and machine learning libraries

Job description

Work on exciting projects covering the gaming industry with new technologies. Flexible working environment.

Responsibilities

• Lead and manage end-to-end quant/actuarial projects, ensuring successful delivery against timelines and objectives.
• Build, validate, and deploy detection signals to capture market inefficiencies and arbitrage opportunities across markets.
• Apply actuarial/quantitative principles to design robust models for risk, pricing, and performance monitoring.
• Collaborate with cross-functional stakeholders including data and engineering teams to identify opportunities and implement data-driven solutions.
• Continuously research, test, and implement new methodologies for predictive modelling and signal optimization.
• Communicate findings, insights, and recommendations clearly to both technical and non-technical stakeholders.
• Ensure documentation, reproducibility, and best practices are embedded into all modeling and project workflows.

Qualifications

• Qualification in Actuarial Science, Quantitative, Statistics, Mathematics, Data Science, or a related discipline.
• Minimum 5 years of relevant working experience in actuarial, quant, or data-driven roles with a track record of project delivery.
• Strong grounding in actuarial or quantitative concepts and principles.
• Proficiency in Python programming, including experience with statistical and machine learning libraries.
• Experience in predictive modeling, risk analytics, or market signal generation.
• Familiarity with working on large, complex, or unconventional data sources.
• Demonstrated ability to convert complex quantitative insights into actionable strategies.
• Strong project management skills with ability to lead initiatives independently.
• Excellent problem-solving, analytical thinking, and communication skills.
• Ability to thrive in a fast-paced and evolving environment.

Work Environment

The employer is a medium-sized organization operating in the Technology & Telecoms industry. They are committed to leveraging technology to drive innovation and improve efficiency within their sector.

Benefits

• Contract: 1 year
• Completion Bonus - 1 month
• Medical Benefits
• Opportunity to work on cutting-edge projects in the Technology & Telecoms industry.
• Collaborative and innovative work culture.
• Access to professional development and learning opportunities.

How to apply

If you are passionate about data and want to make an impact, we encourage you to apply for the Data Scientist role today!