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Quantitative Risk Officer - Old Mutual Zimbabwe

Location: Harare
Alert: Application Deadline Expired

Job Summary

The role is accountable for the full implementation of quantitative risk frameworks across the OMZIL Group in collaboration with various stakeholders. These include but are not limited to the Model Risk Policy, Stress and Scenario Testing Framework, Financial Risk Management Framework, Capital Management, ORSA/ICAAP.

Duties And Responsibilities

  • Assist teams in developing and maintaining a strong understanding of quantitative regulatory and internal risk management requirements related to various risks.
  • With oversight/guidance from senior staff, research, analyze, code and document risk models for annual model reviews.
  • Prepare performance metrics and perform, at a minimum, impact analysis, root cause analysis and statistical analysis for various business initiatives or regulatory pronouncements across the businesses.
  • Provide advisory services at all levels on the various quantitative endeavors the Business Units (BU) might want to pursue, this includes stress testing and new or existing model builds.
  • Oversee the development of models (that is, design, estimate, implement, test, document and maintain quantitative models), whilst ensuring that adequate documentation and controls are maintained for all models and methodologies to enhance decision making.
  • Champion quantitative risk reviews and validations across OMZIL, this includes annual review and adequacy assessment of Key Risk Indicators, targeted financial model reviews / validations as contained in the OMZIL model inventory.
  • Provide training to various stakeholders in order to improve the culture and skills base around quantitative risks. This includes up-skilling or re-skilling of colleagues in the risk and modelling fraternities.
  • Champion data quality and integrity by highlighting data quality issues and suggesting appropriate solutions.
  • Risk reporting. Provide comprehensive interpretations, explanations, and conclusions based on a set of analytic results, including identifying new opportunities to enhance existing decisions and risk management processes through the use of analytical and statistical models and tools.
  • Ensuring that the control environment around quantitative risk areas aligns to policy and regulatory requirements.
  • Assist the business with various financial risk deliverables, i.e. enhancement of existing techniques and the development of new risk measurement techniques.
  • Facilitate the up-skilling and re-skilling of the business to embrace the future of quantitative risk methods.

Qualifications And Experience

  • First Degree in a quantitative field such as Mathematics, Statistics, Quantitative Finance, Econometrics, Physics, Engineering, Financial Engineering or Actuarial Sciences or equivalent. A postgraduate degree or professional qualification in a related field is an added advantage.
  • A minimum of five (5) years of relevant experience related to financial modelling. Strong knowledge of risk models as well as capital adequacy standards (e.g. Basel I – IV, Solvency II or equivalent) and International Financial Reporting Standards (IFRS 9 & 17) are required as well as strong quantitative and analytical skills encompassing - model development /review, analytics or quantitative research) covering applied statistics, data manipulation, programming and analytical techniques such as linear and nonlinear regression, time series forecasting, panel data analysis, optimisation, data mining and survival analysis.
  • Knowledge in programming and data analytics tools such as VBA, C++, python and R, among other languages is an added advantage.

Skills

Communication, Operational Effectiveness

How To Apply

To Apply Use Link: https://oldmutual.wd3.myworkdayjobs.com/en-US/Old_Mutual_Careers/job/Quantitative-Risk-Officer_JR-27899?locationCountry=db69eabc446c11de98360015c5e6daf6 

Closing Date: 07 August 2022

Alert: Application Deadline Expired

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