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Credit Analyst, Impairment and Models (BA4) Kampala

Posted by Barclays Bank Private Central
  • Company: Barclays Bank
  • Experience: 2 - 5 years
  • Studies: Bachelor
  • Category: Banking - Finance
  • Contract: Undefined
  • Salary: Undefined
About Barclays Africa:Barclays Africa encompasses Barclays Global Retail Banking, Corporate Banking, and Barclaycard operations in 10 countries organised in four geographic areas: North Africa (Egypt), East and West Africa (Ghana, Tanzania, Uganda and Kenya),  Southern Africa (Botswana, Zambia and Zimbabwe), and Indian Ocean (Mauritius and Seychelles).Barclays Africa serves its 2.8m customers through a network of 573 branches and service centres providing a variety of traditional financial products including retail mortgages, current and deposit accounts, commercial lending, unsecured lending, credit cards, treasury and investments.Job Summary: The Barclays Credit Analyst, Impairment & Models primary involves the delivery of accurate projections of the Bank's Retail Impairment provision and the development of robust econometric/statistical modeling covering scenarios and stress testing. The position will play a vital role in the forecast accuracy over both short term and long term aspects and will interact with multiple business partners and provide insight It will also deal with managing multiple forecast models and tools and identify any issues escalated when necessary as well as the ad hoc analysis covering impairment expense or capital charge. The job role will also include performing data analysis, forecasting and generating both monthly and ad-hoc management information used by management to manage the Retail business.  The analyst will also be responsible for scorecard and behavioral models; and any other analytics specific duties as assigned by the Head of Portfolio Analytics & MI. Key Duties and Responsibilities: 1. Impairment, Provisioning and Modeling (80%)Gather relevant customer data from bank’s internal MI systems in order to run the impairment & provisioning models.Communicate impairment & analytic results to both technical and non-technical audiences, using Microsoft Excel worksheets and PowerPoint presentationsUnderstand business questions and formulating data analysis and modeling problems.Prototyping data-driven predictive models and data analysis models.Assist the Retail Credit team by providing relevant and timely analysis for current projects and ad-hoc queries.2. Data Analysis, Forecasting and Modeling of Portfolio Performance Statistics (20%)Analyze and interpret both Performance and Applications data relating to Credit Risk processesOffer timely analysis to support with business as usual activities such as Credit Risk strategy changesContinuously strive to improve Barclays’ decision support systems. Qualifications, Skills and Experience: The candidate must hold a good degree in Quantitative or Mathematical Economics, Statistics, Data Analytics, Analytical Finance, Decision Sciences and /or Computer Sciences.Strong IFRS knowledge and strong experience in econometric modeling or risk forecastingEnergetic and highly motivatedKeen team playerPossess the ability to assimilate new information and quickly adapt to a new environment.Self-starter who naturally assumes ownership of initiativesPassionate about data analysis and how this contributes to the businessPast exposure and experience in performing data analysis utilizing a standard statistical package such as SAS;Strong knowledge of portfolio dynamics and Credit Risk and credit portfolio life cycle dynamics.Good knowledge and understanding of portfolio and sub-portfolio modelling practices and model performance measures.Computer proficiency in modeling using Microsoft Excel, ideally with experience in manipulating large data sets.Possess the ability to work on own initiative.Practical experience of using analytics to solve complex business problems.Excellent personal organizational skillsHigh degree of personal initiativeAbility to handle multiple tasksAttention to detailProven knowledge of analysing and interpreting data using statistical models and manipulating data using relevant programmes such as SAS/SQL.Strong communication skills and the ability to communicate complex concepts effectively at all levels.A self-motivating team player who is able to define structure and prioritize work in order to complete assigned tasks on schedule in a timely and cost effective manner.
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