Risk Analytics & Stress-Testing Specialist

Bank of Singapore, Asia’s Global Private Bank; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Bank of Singapore is seeking an analytics professional to support portfolio analytics dashboards and risk reporting. The role focuses on quantitative analytics for risk and front office users, and stress testing of portfolios to calibrate risk appetite in a fast-evolving market.

You will collaborate with cross-functional stakeholders and leverage Python, Power BI, SQL and VBA to deliver insightful analyses and dashboards, while driving data exploration and digitalisation efforts.

Qualifications

• Post Graduate degree in Analytics, Statistics, Engineering, IT, Data Sciences or related fields.
• Proficient in Python, Power BI, VBA and SQL.
• 3 to 5 years of relevant experience - preferably in Private banking.
• Good knowledge of financial products.
• Experience in project management and change initiatives is helpful.
• Robust stakeholder management and interpersonal skills.
• Results and detail-oriented with data-driven problem solving mindset.
• Passionate about solving problems with data exploration.

Responsibilities

• Perform required quantitative analytics to support portfolio analytics dashboards and reports.
• Design and implement forward-looking stress scenarios and analyze results.
• Foster collaboration to assist data analysis on trends and insights.
• Leverage data analytics to uncover risks and opportunities for the business.
• Independently propose dashboard and risk reporting ideas based on business needs.
• Provide thought leadership and aid risk teams in digitalisation and visualization efforts.

Skills

Python

Power BI

VBA

SQL

Education

Post Graduate degree in Analytics/Statistics/Engineering/IT/Data Sciences/Math

Job description

Bank of Singapore is seeking an analytics professional to support portfolio analytics dashboards and risk reporting. The role focuses on quantitative analytics for risk and front office users, and stress testing of portfolios to calibrate risk appetite in a fast-evolving market.

You will collaborate with cross-functional stakeholders and leverage Python, Power BI, SQL and VBA to deliver insightful analyses and dashboards, while driving data exploration and digitalisation efforts.