Alpha Ladder Group is a Singapore-headquartered financial services group active across payment services and wealth management . Our MAS-regulated subsidiaries include:
- Asia Green Fund Management Pte. Ltd. — CMS-licensed fund manager focused on green equity, private credit, and sustainable infrastructure across Asia (ex-China)
- Alpha Ladder Finance Pte. Ltd. — CMS licensee, Recognised Market Operator (RMO), and custodian specialising in real-world asset (RWA) tokenisation, prime brokerage, and digital asset custody
- MetaComp Pte. Ltd. — Major Payment Institution (MPI) licensed under the Payment Services Act, powering cross-border payments, FX, and digital payment token services
With a strong foundation in regulated financial services and a growing portfolio of wealth products spanning traditional (Web2) and digital asset (Web3) ecosystems, we are expanding our legal team to support our fund structuring and fund management activities.
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