About Lighthouse Canton

Founded in 2014, Lighthouse Canton is a Singapore-headquartered global investment management firm with approximately US$3.5+ billion in Assets Under Management (AUM). Lighthouse Canton is one of the leading and award-winning investment firms in the region, focusing on managing funds with uncorrelated investment strategies, providing investors with the opportunity to achieve consistent returns across market cycles. Lighthouse Canton has offices in Singapore, Dubai, India, and the UK.

Job Purpose

We are seeking a Full-Stack Developer to build a new, robust web-based risk management platform for our wealth and asset management businesses, based in Singapore. In this role, you will work closely with the Risk team to translate business requirements into a scalable, intuitive solution. We encourage using AI-based tools for coding productivity, and there is potential to integrate AI-driven features (e.g., social media sentiment analysis) into the risk management framework.

Key Responsibilities

(a) System Architecture & Development

• Design and develop a full-stack web application to handle large volumes of financial data for risk and performance reporting.
• Implement data structures, APIs, and microservices to support risk and analytics features.
• Ensure the application is responsive and user-friendly across desktop and mobile platforms (including Outlook/Edge).

(b) Data Management & Integration

• Develop or integrate services for real-time/batch data ingestion and processing from internal and external sources.
• Collaborate with the Risk team to clarify data needs and ensure secure, efficient handling of sensitive information.

(c) Analytics & Reporting

• Build dashboards, reports, and visualizations for stakeholders to monitor portfolio-level and firm-wide metrics.
• Explore AI-driven analytics, such as natural language processing (NLP) or machine learning (ML), analyzing alternative data (e.g., social media sentiment) and bolster risk monitoring.

(d) AI & Automation

• Leverage modern AI developer tools (e.g., ChatGPT, Cursor, GitHub Copilot) to streamline coding, testing, and documentation.
• Propose and implement AI-based solutions that add value to risk management, such as LLMs for automated sentiment analysis, anomaly detection, or predictive modeling.

(e) Security & Compliance

• Adhere to enterprise security standards and regulatory requirements, implementing robust access controls and audit logging.
• Collaborate with IT and Compliance teams to ensure any AI integrations meet data privacy and compliance standards.

(f) Collaboration & Stakeholder Engagement

• Work closely with the Risk team and other stakeholders to refine technical specifications and user requirements.
• Provide clear documentation and training to ensure smooth adoption of new system features, including AI-based functionalities.
• Gather feedback from end-users and iterate quickly to address evolving business needs.

(g) Maintenance & Continuous Improvement

• Monitor system performance, troubleshoot issues, and plan enhancements.
• Stay up to date on emerging technologies, AI frameworks, and best practices to continuously improve reliability, scalability, and user experience.

Required Skills, Experience & Qualifications

Technical Skills

• Programming Languages & Frameworks: Proficiency in one or more server-side languages (e.g., Python, C#, Node.js) and front-end frameworks (e.g., React, Angular, Vue.js).
• Database Systems: Strong knowledge of relational databases (e.g., PostgreSQL, MS SQL Server) and familiarity with NoSQL solutions (e.g., MongoDB).
• Web Technologies: Expertise in RESTful APIs, HTML5, CSS3, and JavaScript/TypeScript.
• Cloud & DevOps (Preferred): Experience with AWS, Azure, or other cloud providers; familiar with CI/CD pipelines and containerization (Docker, Kubernetes).
• AI Tools (Preferred): Familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) or LLM frameworks; comfortable using AI-powered coding assistants (e.g., ChatGPT, Cursor, GitHub Copilot).

Business Understanding

• Basic exposure to financial data structures and demonstrate willingness to learn.
• Ability to translate business requirements into technical designs with guidance from the Risk team.

Soft Skills

• Collaboration & Communication: Skilled at working with non-technical stakeholders and presenting complex technical ideas simply.
• Problem-Solving: Capable of handling ambiguous requirements and crafting solutions in a fast-paced environment.
• Adaptability: Open to learning new technologies, AI approaches, and evolving project needs.

Education & Experience

• A master's in computer science, software engineering, or a related field is preferred, or equivalent practical experience.
• Minimally 1-3 years of professional experience building and maintaining data-intensive, full-stack applications.