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QUANTITATIVE RISK MODELLING ANALYST – People’s Own Savings Bank (POSB). 401 views

Job Expired

VACANCY NOTICE
Applications are invited from suitably qualified and experienced persons to fill the below position which has arisen in the People’s Own Savings Bank (POSB).

Reporting to the Quantitative Risk Modelling Manager, the incumbent will be responsible for developing, implementing and maintaining risk models to identify, assess and manage financial and operational risks across the Bank.

KEY PERFORMANCE AREAS
⦁ Design and develop risk models using statistical techniques and machine learning algorithms.
⦁ Conduct data analysis and simulation to estimate risk exposures and predict potential losses.
⦁ Develop capital models fa Internal Capital Adequacy Assessment Process (ICAAP), economic capital etc.
⦁ Validate and back test risk models to ensure accuracy and reliabiity.
⦁ Perform ad-hoc financial modelling, stress testing and scenario analysis.
⦁ Provide insights and recommendations to senior management on risk management strategies.
⦁ Collaborate with cross-functional teams to integrate risk models into business decision-making processes.
⦁ Stay up to date with industry trends and regulatory requirements in risk management
⦁ Formdate and implement polices and procedures.
⦁ Identify potential market, operational and credit risk through indicative analysis.
⦁ Train staff and management in modelling and related issues.

QUALIFICATIONS & EXPERIENCE
⦁ Degree in Actuarial Science, Mathematics, Statistics or Financial Engineering.
⦁ A professional qualification in a related discipline will be an added advantage.
⦁ At least three (3) years in a financial institution or related field.

SKILLS
⦁ Experience with risk modelling frameworks and tools (e.g., Monte Carlo simulations, econometric models).
⦁ Programming skills in languages such as Python, R, or Matlab.
⦁ Proficiency in Excel.
⦁ Excellent reporting and presentation skills.

REMUNERATION
The position offers an attractive remuneration package commensurate with qualifications and experience.

Job Summary

Job Type
Full Time
Location
Category
Analyst
Closing Date
August 9, 2024

More Information

  • This job has expired!
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