Intern - Risk Management

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

This internship provides hands-on experience in investment and market risk management with a focus on technology and data analytics. The intern will support the Risk Management Team in monitoring risk across client portfolios and proprietary funds, while contributing to the development of portfolio risk/margin risk monitoring system and automated workflows. We welcome candidates with either strong risk knowledge or strong programming skills.

Job Responsibilities

(A) Risk Monitoring & Analysis

• Monitor daily risk metrics including VaR, portfolio sensitivities, and exposure limits.
• Assist in stress testing and scenario analysis for investment portfolios.
• Support the preparation of risk reports for portfolio managers and senior management.
• Track key risk indicators and identify potential limit breaches.

(B) Risk Technology & Automation

• Help build and maintain internal risk databases to centralize risk data.
• Develop risk dashboards using Python and visualization tools.
• Assist in automating manual risk processes and reporting workflows.
• Support the integration of market data feeds into risk systems.
• Build database queries and optimize data pipelines for risk calculations.
• Use AI tools where appropriate for data and risk analysis.

(C) Data Management & Analytics

• Collect and clean data from multiple sources for risk analysis.
• Perform data quality checks and reconciliations.
• Create documentation for risk processes and systems.
• Assist in building risk analytics tools for the investment team.
• Design and implement database schemas for risk data storage.

(D) Project Support

• Contribute to risk analysis and coding projects.
• Research new risk methodologies and industry best practices.
• Support the enhancement of existing risk models and frameworks.
• Assist in testing new risk management tools and systems.
• Participate in full-stack development of risk management applications.

Required Skills & Qualifications

(A) Education

• Currently pursuing a Bachelor's degree in:
• Finance, Economics, Mathematics, Statistics.
• Computer Science, Engineering, or related quantitative fields.
• Strong academic record with coursework in statistics and/or programming.

(B) Technical Skills & Knowledge

• Either strong in risk/finance OR programming:
• Basic programming knowledge (Python preferred; JavaScript/TypeScript, Java, or C++ also valued).
• Proficiency in Excel.
• Understanding of SQL basics is a plus (experience with PostgreSQL, MySQL, or NoSQL databases beneficial).
• Familiarity with data visualization tools is beneficial.
• Frontend development experience is a plus.

(C) Domain Skills & Knowledge

• Basic understanding of financial markets and investment products.
• Basic knowledge of risk concepts (VaR, volatility, portfolio theory).
• Interest in quantitative finance and risk management OR demonstrated programming ability through personal projects/coursework.

(D) Soft Skills

• Strong analytical and problem-solving abilities.
• Attention to detail and accuracy with numbers.
• Good communication skills for presenting findings.
• Ability to work independently and in teams.
• Eager to learn and take on new challenges.

What You'll Learn

• Practical application of risk management in a globally-focused investment firm.
• Exposure to build risk monitoring system and dashboards.
• Working with real financial data and risk systems.
• Exposure to various asset classes and investment strategies.
• Modern software development practices in a financial setting.
• Database design and optimization for financial applications.

Nice to Have

• Previous internship experience in finance or technology.
• Personal projects involving risk analysis, data analysis or programming.
• Participation in finance/investment clubs or competitions.
• Basic understanding of derivatives and financial instruments.
• Experience with AI applications.
• Portfolio projects on GitHub demonstrating coding skills.
• Knowledge of API development and microservices.