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
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.
