17 March 2014

Barclays Bank Career Opportunities - Credit Analyst, MI & Performance


Duty Station:  Kampala, UgandaReports to: Head, Portfolio Analytics (AVP)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, MI & Performance will be responsible for performing data analysis, forecasting and generating both monthly and ad-hoc management information used by analysts and managers in Retail Credit, Uganda to manage our business.  Specific use will be made by MI analysts to develop strategies throughout the credit cycle including prospect targeting and acquisition, exposure management, customer marketing, collections and recovery.Key Duties and Responsibilities: 1.  Execute Statistical Analysis – Data Extraction & Manipulation Tasks (80%)Collect relevant customer data from bank’s internal MI systems.Routinely analyze and interpret customer data relating to Credit Risk processes using statistical packages such as SAS.Communicate analytic results to both technical and non-technical audiences, using Microsoft Excel worksheets and PowerPoint presentationsTechnically support managers by providing relevant and timely analysis for current projects and ad-hoc queries.Provide analysis to support managers with business as usual activities such as Credit Risk strategy changes.Gradually strive to improve Barclays’ decision support systems.2. Forecasting and Modeling of Portfolio Performance Statistics (20%)Number of accounts / outstanding balancesProvision of Delinquency statisticsIn charge of studying Portfolio trendsPerform any other duties assigned by the center manager or team leaderQualifications, Skills and Experience: The Credit Analyst for Barclays Bank should ideally hold a bachelor’s degree in Quantitative & Mathematical Economics, Business Studies, Organizational Management, Statistics, Data Analytics, Analytical Finance, Description Analytics, Operational research and /or Computer Sciences.Highly energetic and highly motivatedBe a good team playerPossess the ability to assimilate new information and quickly adapt to a new environment.Self-starter who naturally assumes ownership of initiativesHighly passionate about data analysis and how this contributes to the businessPast experience in performing data analysis utilizing Financial modeling in Excel;Excellent communication and persuasion skills with the ability to think quickly and package ideas and results in a logical, understandable and compelling way to both technical and non-technical audiences;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.Computer proficiency ideally with experience in the use of Excel.Ability to work on own initiative.Hands-on experience of using analytics to solve complex business problems.Ability to present complex analytical concepts to all levels of the business.Working to deadlinesExceptional organizational skills High Personal InitiativeManaging multiple tasksExcellent communication (both verbal and written)Attention to detailIf you feel challenged by any of the above positions, and believe you can deliver on key deliverables as outlined above, upload your application letter, current curriculum vitae and photocopies of academic certificate to our recruitment website detail below:Barclays is an equal opportunity employer that recruits, develops and promotes people on merit, and rewards outstanding performance, regardless of background and gender.

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