METACOMP PTE. LTD.
Data Scientist / AI Engineer
Visa Source Listed
📍🇸🇬 Singapore📅17h ago
S$96,000—S$1,92,000/ year
≈ ₹60L — ₹1.20Cr per year
ProbabilityOptimizationMathematical ModelingMathematicsAutomation ToolsIntelligent AutomationEngineering DesignUniversitiesManaging AmbiguityApplied Mathematics
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Job Description
About Us
MetaComp Pte Ltd is a leading Singapore-based digital payment solution provider, licensed and regulated by the Monetary Authority of Singapore (MAS) as a Major Payment Institution, to provide Digital Payment Token Services and Cross-border Payment Transfers. Operating under a P2B2C (platform-to-business, partners-to-clients) model, MetaComp provides its clients with an integrated end-to-end suite of services, empowering them to confidently enter the digital asset market with much-needed safety, security, and compliance assurance. Together with its parent company, Metaverse Green Exchange Pte. Ltd. (a MAS-licensed CMS holder permitted to carry out, inter alia, brokerage and custody services), MetaComp introduces its suite of services through CAMP (Client Assets Management Platform) which allow businesses to develop and scale their digital asset offerings through various products and/or services such as over-the-counter transactions, fiat payments, digital asset custody and prime brokerage.
About the Role
We are looking for an exceptionally strong quantitative fresh graduate to join our AI team. This role is designed for top-tier math or physics majors with outstanding analytical ability and intellectual horsepower, even if they have limited formal coding experience.
If you were in the top 5% of your cohort, enjoy solving complex abstract problems, and have actively used AI tools in your academic work, we want to invest in you and help you grow into a high-impact AI engineer.
This role is ideal for candidates who want to build deep capability in applied AI within a fast-growing fintech environment.
Key Responsibilities
- Work with senior engineers to design, test, and improve AI-driven solutions across business use cases
- Apply mathematical and statistical thinking to model real-world problems
- Use AI tools (LLMs, coding copilots, automation tools) to accelerate research and prototyping
- Translate theoretical concepts into practical implementations
- Conduct experiments, analyze model outputs, and iterate on improvements
- Support internal automation initiatives using AI
- Continuously learn and stay updated with AI research and emerging tools
Minimum Qualifications:
- Bachelor’s or Master’s degree in Mathematics, Physics, Applied Mathematics, Engineering Physics, or related quantitative disciplines from leading universities
- Exceptional logical reasoning and problem-solving ability
- Strong foundation in linear algebra, probability, statistics, and optimization
- High intellectual curiosity and ability to grasp complex concepts quickly
- Demonstrated use of AI tools (e.g., LLMs, AI coding assistants, research tools) in coursework or projects
- Basic familiarity with Python or similar language (formal experience not mandatory)
- Comfortable working in ambiguity and experimenting independently
We are committed to creating an inclusive workplace where every individual feels respected, valued, and empowered to contribute. We celebrate diversity in all its forms—background, ethnicity, gender, identity, orientation, experience, and thought—and believe it strengthens our culture and our work. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other protected characteristic.