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Analyst, Portfolio Risk Management

1 week ago


Singapore Maybank Full time

Get AI-powered advice on this job and more exclusive features.
The Portfolio Risk & Analytics function is one of the eight functions within the Singapore Risk Management organization. Its main role is to produce insights into the credit portfolio of the country, by way of portfolio analyses, deep dives, and stress testing, thereby supporting a proactive portfolio management stance in line with risk appetite.
The position reporting directly to the Head of Portfolio Risk Management (PRM) will support the delivery of key activities within stress testing and portfolio analytics. This includes ensuring data quality in our process, analyzing portfolio structure and movements, coding key calculation routines, reviewing results, and testing code changes for the different processes within our Stress Testing team. It also involves supporting the implementation of new processes and activities linked to the portfolio management program.
The typical candidate for this position would have knowledge about SAS and SQL or similar tool coding and aptitude to extract, transform and analyze data. The candidate should be self-driven and keen on learning more about technical development, as well as possessing a confident personality with strong technical skills and good written and verbal communication skills.
Job Responsibilities:
Support in data extraction and credit analysis
Support in automation of reports and stress test processes through SAS, Python, and R
Contribute to the development and enhancement of stress testing and portfolio analytics methodologies
Develop and revise stress testing code for new methodologies and processes
Support in the review and enhancement of stress test policies and procedures
Conduct UAT for code changes and develop business requirements documents (in an agile setting)
Provide results review and analytics support for the different stress tests performed within Portfolio Risk Management
Support other Group PRM initiatives in their development and implementation
Requirements:
Minimum qualification: A degree in Banking & Finance / Economics / Technical Sciences or equivalent training/experience
Proficient with MS Office applications (including Excel, PowerPoint), data query tools (SAS, SQL, etc.), and high-level programming languages (R, Python).
Proficient in data extraction, transformation, and analysis
Knowledge of statistical analysis techniques and financial modeling within the financial services environment would be an added advantage.
Seniority Level
Entry level
Employment Type
Full-time
Job Function
Analyst
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