Job Purpose

The Risk Analyst/Associate supports Lighthouse Canton's Risk Management team in monitoring and reporting investment and market risk across Wealth Management (WM) client portfolios and Asset Management (AM) strategies. The role is hands-on and data-driven: you will help run daily risk checks, investigate limit breaches, and contribute to risk analytics and risk technology projects (dashboards, automation, and data pipelines).

Individual Contributor or People Manager

• Individual Contributor.

Duties and Responsibilities

(1) Daily Risk Monitoring and Reporting

• Monitor portfolio risk metrics and exposures (e.g., VaR, sensitivities/greeks, leverage, concentration, liquidity and drawdown indicators).
• Track risk limits, escalation thresholds and key risk indicators; identify and follow up on potential breaches or anomalies.
• Produce and distribute periodic risk reports and dashboards to portfolio managers and senior stakeholders; ensure accuracy and timeliness.
• Support daily/weekly reconciliation and data-quality checks across positions, pricing, risk results and reference data.

(2) Risk Analytics and Scenario Work

• Assist with stress testing and scenario analysis (macro shocks, factor moves, idiosyncratic events) and document assumptions and results.
• Perform ad-hoc analyses requested by investment teams (drivers of P&L/risk changes, exposure decompositions, concentration hotspots).
• Support onboarding of new strategies/products by helping define risk metrics, limit structures and monitoring requirements.

(3) Risk Projects and Process Improvement

• Contribute to risk projects at a high level, including enhancements to portfolio risk monitoring and margin/financing risk workflows.
• Help improve and standardize risk processes, controls and documentation (runbooks, checklists, data lineage).
• Participate in UAT/testing for new tools, models, vendors and data feeds; log issues and coordinate fixes with stakeholders.

(4) Risk Technology and Automation

• Assist in building and maintaining internal risk datasets (positions, market data, risk results) and query them for analysis.
• Develop simple scripts and automation (Python preferred) to reduce manual work in reporting, validation and monitoring.
• Support dashboard development (e.g., Python-based reporting, BI tools) and integration of market data and reference data sources.
• Use modern tooling where appropriate (e.g., Git, APIs, AI-assisted analysis) following internal governance and data handling standards.

Requirements

(A) Education and Experience

• Bachelor's degree (or equivalent) in Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or a related quantitative discipline.
• 2-3 years of relevant experience in risk management, investment analytics, trading support, or data/analytics roles.
• Strong interest in markets and portfolio risk; willingness to learn new products and tools quickly.

(B) Risk and Markets Knowledge

• Basic understanding of key risk concepts such as volatility, VaR, drawdown, concentration risk, and stress testing.
• Familiarity with common asset classes (equities, FX, rates, credit) and an interest in derivatives/structured products is beneficial.
• Comfortable interpreting risk outputs and communicating findings in clear, concise language.

(C) Technical and Programming Skills

• Proficiency in Excel (pivot tables, lookups, basic modeling).
• Working knowledge of Python for data analysis (e.g., pandas) OR strong willingness to build this capability on the job.
• Basic SQL knowledge (ability to query tables, joins and filters) is a plus.
• Familiarity with data visualization (e.g., matplotlib/plotly/Power BI) and API/data feed concepts is a plus.

(D) Soft skills

• High attention to detail and strong ownership of data quality and operational controls.
• Structured problem solving; able to triage issues and follow through to resolution.
• Good communication skills and ability to collaborate with investment, operations, and technology stakeholders.
• Ability to work in a fast-paced environment with multiple deadlines.

Nice to Have

• Exposure to portfolio analytics, risk systems, or market data platforms (Bloomberg/Refinitiv or similar).
• Understanding of derivatives greeks, margin concepts, or risk limit frameworks.
• Experience using Git and writing maintainable, well-documented code.
• Personal projects (GitHub) demonstrating data analytics or finance/risk applications.