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QUANTITATIVE RISK MODELLING ANALYST – People’s Own Savings Bank (POSB) 238 views

Job Expired

 

Applications are invited from suitably qualified and experienced candidates to fill the following position which has arisen within the People’s Own Savings Bank.

QUANTITATIVE RISK MODELLING ANALYST

BASIC FUNCTION

Reporting to the Chief Risk Officer, the Quantitative Risk Modelling Analyst is responsible for measuring, analysing, monitoring and identification of risk through the production of sensitivity, simulation, stress testing, scenario analysis and optimisation modelling. His duties also include trend analysis on various scopes to enable management to make informed decisions.

KEY ACTIVITIES OF THE JOB

  • Introduces and maintains effective model risk management in the bank
  • Implements an effective modeling environment to promote and control the data quality, sound development, implementation and use of tools.
  • Produces clear and comprehensive reports and documentation to aid in effective business decision making.
  • Validates external and other third party data and parameter values and assess whether the data is representative of the bank’s situation.
  • Engages with business to proactively identify potential market, operational and credit risk, as requested and or as deemed necessary through indicative analysis.
  • Trains staff and management on modeling and related issues.

EXPERIENCE AND QUALIFICATION

  • Bachelor degree in a quantitative discipline; Statistics, Mathematics or relevant profession (eg Actuarial Sciences)
  • A Level including Mathematics/Statistics)
  • A minimum of five years’ experience in a financial institution, or professional services firm with knowledge of regulatory Capital models under the Basel Framework.
  • Proficiency in Microsoft Office Applications, IT, SQL and programming skills.

REMUNERATION

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

 

 

Job Summary

Job Type
Contract
Location
Category
Analyst
Closing Date
July 23, 2022

More Information

  • This job has expired!
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