Head, Risk Analytics at Dangote Industries Limited

Head, Risk Analytics at Dangote Industries Limited
February 10, 2014 Leaders Hub

Dangote Group is one of Nigeria’s most diversified business conglomerates with a hard – earned reputation for excellent business practices and products’ quality. Our operational headquarters is located the bustling metropolis of Lagos, Nigeria.

Dangote Group continues to grow its vision of becoming the leading provider of essential needs in Food and Shelter in Sub-Saharan Africa with sustained market leadership in Cement Manufacturing, Sugar Milling, Sugar Refining, Flour Milling, Manufacturing of Pasta (Spaghetti & Macaroni), Operation of Cement Terminals, Port Operations, Noodles Manufacturing, Packaging Material Production and Salt Refining.

We are recruiting to fill the following position:

Job Title: Head, Risk Analytics

Location: Nigeria


  • Develop methodologies for rating & scoring including decision analytics, portfolio modeling for all risk types across the group( VaR and economic capital.
  • Develop exposure methodologies and the calibration & validation of the respective risk parameters.
  • Develop and manage applications and tools for capital planning, stress testing, Raroc, portfolio optimization etc.)
  • Development of new scoring methodologies and extended use of sophisticated statistical methods for credit risk ;Data analysis on defaulted customers and modeling of recoveries
  • Analytical support of portfolio management units in the risk assessment of sub-portfolios
  • Develop and validate expert rating models (rating sheets)
  • Capital planning: extension and maintenance of planning tools; support of the annual group-wide capital planning process
  • Risk adjusted return on capital (RaRoC) calculations: extension and maintenance of the RaRoC pricing/performance Tools RPT and Client RaRoC; regular RaRoC calculations
  • Portfolio management tools: establishment of a risk appetite grid and a portfolio optimization framework


  • Minimum Education: Master’s degree or higher in a strongly technical degree (e.g. Mathematics, Statistics, Physics, Computer Science, engineering).
  • A minimum of 10 years working experience with a minimum of 5 years experience in financial mathematics, ideally in the field of statistics, probability or structured finance
  • Experience working in an R&D or entrepreneurial environment, particularly on a development team professional Excel plus experiences with relevant software packages, ideally SAS, VBA, C++, SQL, MS Access

Application Closing Date
21st February, 2014

Method Of Application
Interested and qualified candidates should:
Click here to apply

Comments (0)

Leave a reply

Your email address will not be published. Required fields are marked *