Risk Analyst - Portfolio Risk & Analytics

Selby Jennings; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Selby Jennings is seeking a Risk Analyst in Singapore to support daily risk reporting, monitor P&L, and analyze market and portfolio risks. The role involves building risk reporting infrastructure within a dynamic investment environment and collaborating with investment, trading, and operations teams.

The candidate will work on data validation, risk data cleanup, and developing automation using Python or SQL to improve reporting efficiency, with a strong quantitative background and excellent

Qualifications

• Bachelor's degree in Finance, Economics, Mathematics, Engineering, or related field.
• 2-5 years of risk, finance, or analytical experience.
• Strong analytical and problem-solving skills with high attention to detail.

Responsibilities

• Support daily risk reporting, including P&L monitoring, drawdown analysis, and exposure/limit tracking
• Assist in identifying and monitoring market and portfolio risks across asset classes such as fixed income, FX, and derivatives
• Analyse financial data and market trends to highlight key risk drivers and potential vulnerabilities
• Work with internal systems to clean, organise, and validate risk data, ensuring accuracy and consistency
• Prepare risk reports, dashboards, and presentations for internal stakeholders
• Support the enhancement of risk models, analytics tools, and reporting frameworks
• Collaborate closely with investment, trading, and operations teams to ensure adherence to risk limits and controls
• Contribute to automation initiatives through tools such as Python or SQL to improve reporting efficiency

Skills

Analytical thinking

Attention to detail

Communication

Team collaboration

Education

Bachelor's degree in Finance/Economics/Math/Engineering

Tools

Excel

Python

SQL

Job description

Selby Jennings is seeking a Risk Analyst in Singapore to support daily risk reporting, monitor P&L, and analyze market and portfolio risks. The role involves building risk reporting infrastructure within a dynamic investment environment and collaborating with investment, trading, and operations teams.

The candidate will work on data validation, risk data cleanup, and developing automation using Python or SQL to improve reporting efficiency, with a strong quantitative background and excellent