Total Nigeria Plc is a Marketing and Services subsidiary of Total; a multinational energy company operating in more than 130 countries and committed to providing sustainable products and services for its customers. For over 50 years, Total Nigeria Plc has remained the leader in the downstream sector of the Nigerian oil and gas industry with an extensive distribution network of over 500 service stations nationwide and a wide range of top quality energy products and services. T
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The job holder will implement the Total CPFA’s Enterprise Risk Management Framework (Risk Assessment, Evaluation, Monitoring etc.). The candidate should have sound knowledge of Investment Risk Management in particular.
Job Responsibilty
Implement the Company’s ERM framework and promote a risk awareness culture within the CPFA.
Examine the Fund’s investment portfolios and analyse risk involved in investment decisions.
Project potential losses associated with the Fund’s portfolio and recommend actions to limit risks through diversification and other strategies.
Track and report investment trends and potential impact on the Fund’s portfolio.
Interpret and explain the nature of portfolio risk, including using attribution analysis to explain returns.
Work with other CPFA teams to identify and calculate risk associated with transactions.
Identify and report asset losses, risk exposures and requirements to support the business.
Support risk projects undertaken by external risk consultants and advisers.
Maintain the risk register
Job Requirements
University degree in Economics, Finance, Statistics, Mathematics or a related discipline (minimum 2nd class upper).
A Master’s degree in any of the mentioned disciplines, Financial Risk Manager (FRM) certification and/or Chartered Financial Analyst (CFA) Certification would be an added advantage.
Minimum 10 years relevant experience in the financial sector, including at least 3 years in a risk analysis/management role.
Ability to apply industry knowledge and technical skills in the production of insightful interpretations and analysis of data.
Strong quantitative and financial modelling skills, advanced MS Office Suite (in particular Excel); experience with managing an investment database; familiarity with investment and statistical theories, and problem solving.
Ability to work independently, but also is a team player with excellent communication and interpersonal skills.
Good knowledge of the economy, markets and general investment management practices and pension industry regulation
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