• Maintain the BCP/DR related records for the bank. Ensure the organizations’ conformance and alignment to the regulatory BCP/DR requirements, ensuring that gaps are identified (if any) and mitigated
• Coordinate the BCP/DR efforts during each phase of the bank’s BCP/DR Program
• Generate reports of program status to the bank’s Senior Management, Operations leaders, Account Owners, and other key stakeholders
• Coordinate and assist the execution of each Business Continuity/ DR Testing from beginning to end
• Generate the Training and Awareness materials for Business Continuity and manage the result of exams
• Drive and facilitate discussions with the bank’s Incident Management team in actual disaster events and in simulated exercises
• Educate the business partner in the understanding of BCP/DR capabilities, and ensure relevant documentation is in place prior to the completion of any migration project
• Train new and existing employees in all matters related to Business Continuity

• Bachelor of Arts or Science in any field
• Experience in implementing Business Continuity Management or knowledge of BS 25999 standard required or preferably a minimum of 2 years performing in a similar capacity
• Advanced skills in Microsoft Office – Excel, Access, PowerPoint

• Strong analytical skills
• Computer proficiency
• World class customer service skills
• Strong communication and negotiation skills
• Team player with excellent interpersonal skills
• Excellent financial and business acumen
• Excellent organization and planning skills
• Strong leadership skills

• Perform analytics to develop credit card policies, credit card strategies, line assignment strategies, and APR optimization
• Educate merchant on violation/authorization issues including regulations surrounding the electronic transfer of data and money
• Oversee the procurement of chargeback monitoring tools
• Identify and articulate long-term solutions and strategic responses to chargeback issues, as well as friendly and real fraud
• Monitor merchants credit card processing activities using various risk and chargeback monitoring tools
• Consistently monitor all merchants for potential chargeback and/or risk issues
• Participate in software and system configuration projects for credit Card risk management
• Basic experience with statistical techniques and data manipulation
• Contribute to the development of credit card strategies to manage unit and loss rates using statistical techniques to optimize the yes/no decision
• Execute MI to actively monitor accounts post booking to ensure all KPIs are being met or exceeded
• Report on deviation from expected results and address accordingly through appropriate actions
• Work closely with Fraud Management and Fraud Specialists in performing detailed analysis and making critical business recommendations to enhance performance for reducing fraud loss/ exposure
• Analyse fraud loss trends using analytical disciplines, identifying root-cause and producing targeted solutions to mitigate loss

• Bachelors Degree in any related field
• Experience using analytics and data to develop value-add business outcomes

• Ability to manage multiple projects and work within cross functional teams
• Ability to present ideas and concepts in a clear and concise manner
• Awareness and academic knowledge about statistical techniques such as CHAID, logistical regression and other modeling techniques
• Basic knowledge about compliance and regulatory requirements for strategy development and risk management activities related to electronic movement of money and data
• Ability to address problems and implement highly effective solutions with a sense of urgency and assertiveness
• Basic understanding of retail credit practices (credit cards preferred) and business P&L drivers
• Critical thinking and problem solving skills
• Excellent communication skills and knowledge of statistical software packages
• Advanced IT skills in Microsoft Office – Excel, Access, PowerPoint, SQL

• Develop scorecards and loss models for quantifying credit exposure
• Develop internal ratings framework for support of credit decision-making
• Develop IT data mart that supports scorecard and loss models
• Create and develop automated platform for analytics and integrate it with existing systems
• Undertake quantitative internal capital adequacy assessment process in relation to credit risk analytics
• Develop Basel-compliant probability of default (PD), Loss Given Default (LGD) and Exposure at default (EAD) models.
• Create portfolio based framework for measuring credit risk 
• Work with market research to develop customer-related analytics
• Work with market risk and operational risk analytics to aggregate exposure for enterprise risk management
• Create integrated platform with operational risk and market risk analytics to quantify integrated risk
• Revise ERM framework to include quantitative measures for aggregating overall bank risk in conjunction with operational and credit risk
• Continuous evaluation of portfolio quality through the establishment of portfolio based analytics
• Assist in product introduction and uptake into the market
• Facilitate customer service to multiple access points and channels

• 7 to 10 years banking experience with at least 5 years in a risk management-related role
• Post-graduate qualifications, such as: CFA, CPA, FRM, PRM, RMA
• PhD or Masters from a recognized institution with a concentration in a quantitative discipline would be an added advantage
• Experience in emerging markets in a banking industry
• Experience in achievement of Basel compliance
• Deep capital market knowledge in the countries where he/she has worked, Kenya and surrounding countries a plus

• People management and leadership skills
• Strong analytical skills
• Strong communication skills- both verbal and written
• Team player with excellent interpersonal skills
• Proficiency in at least one statistical programming language – preferably R, SAS or SPSS, VBA, C++
• Good working knowledge of MS office suite especially Ms Excel/VBA

• Ability to deal effectively with technology related risks and derive maximum value from data and documentation
• Represent the risk team in working groups such as change steering groups, risk system support & upgrade projects
• Craft policy and strategy on software purchase/upgrade
• Produce periodic management reports on the impact of IT risk issues on operational and reputational risk
• Craft and maintain IT risk policy on how to deal with external and internal threats to the integrity of the bank’s IT infrastructure

• Degree/Masters in IT or Computer science
• Proven experience of successfully delivering technology risk analysis within a bank/financial service
• Experience in working within a dynamic IT consultancy environment with a focus on IT risk
• Experience in business analysis and understanding of core business processes in a financial institution
• Proven track record of working within a Technology Risk team, where a large amount of the work involved providing consultancy, advice, assurance and attestation of the banks IT systems and processes, IT risks, IT controls and IT projects.
• This work should have been delivered through standalone assignments, or as part of broader multi-disciplinary projects, periodic trouble shooting of IT infrastructure to evaluate internal and external risk factors
• Experience of end-to-end Project Management
• A good understanding of technology platforms

• Ability to present on specific subjects to a large group of people
• Ability to identify and assess complex IT risks and controls, to relate them to the wider business environment and to express opinions clearly to all levels
• Ability to develop excellent client and internal relationships
• Ability to deliver work within tight timescales
• Knowledge of computer networks administration
• Knowledge of software development cycles and procedures

• liaise with various Front Office, Middle Office and market risk teams to facilitate inception, definition, documentation, testing and implementation of Market Risk Infrastructure projects
• Produce requirements for new development projects, and contribute to detailed project planning activities for such initiatives
• Understand and be comfortable with market risk concepts, including risk characteristics of different asset classes, risk sensitivities, historical VaR and other VaR methodologies
• Implement new methodologies for new product launches

• Quantitative degree: Actuarial Science, Mathematics, physics, MBA, MSC Finance
• 7 to 10 years banking experience with at least 5 years in a risk management-related role
• Post-graduate qualifications, such as: CFA, CPA, FRM, PRM, RMA
• PhD or Masters from a recognized institution with a concentration in a quantitative discipline would be an added advantage
• Experience in emerging markets in a banking role banking industry
• Experience in achievement of Basel compliance
• Deep capital market knowledge in the countries where he/she has worked, Kenya and surrounding countries a plus
• Strong product knowledge across FX and/or rate. As well as being able to understand risk models and metrics
• Strong knowledge of AIM modeling
• Experience across multiple asset classes including Fixed Income, equities, commodities, credit, and FX
• Good understanding of Value at Risk and related risk systems exposure

• Strong communicator in order to manage various stakeholders within the business
• Demonstrated people management and leadership skills
• Strong analytical skills
• Team player with excellent interpersonal skills
• Proficiency in at least one statistical programming language-preferably R, SAS or SPSS
• Good working knowledge of MS office suite especially MS Excel

• Carry out analytical research for credit, market & operations risk
• Codifying scorecards methodologies across the bank
• Creating and validating interest rate (IR) models
• Creating credit portfolio loss models
• Customers profiling/segmentation
• Supporting the bank’s traders by providing algorithmic models
• Liquidity risk modelling
• Profitability modelling

• A degree from a recognized university in a numerate field such as Mathematics and computer science, Mathematical/Applied Statistics, Economics/Econometrics and statistics etc
• A minimum 2 to 3 years operational experience in the banking industry, especially, Credit, Operations or Treasury
• IT proficiency and/or background is a major advantage
• Understanding of banking operations particularly credit appraisals, sales, marketing, customer service and fraud

• Understanding and flair for quantitative modeling techniques.
• Experience or training in the use of statistical softwares (SAS, S PSS, Stata, Epi, Excel Stats, R, Oxmetrics)
• Experience or training in the use of reporting and querying tools (Crystal Reports, TOAD, SQl)
• Experience handling large data sets and databases (Oracle, Sybase, Tera data, DB2)
• Proven knowledge of any programing language
• Knowledge and practical application of Monte Carlo simulations
• Creation of statistical/mathematical, and cash flow models
• Creating trading robots

• Carrying out continued research and analysis on the currency movements and trends
• Project design and set up, managing data collection, modelling work and presenting findings and recommendations
• Developing/back-testing investment strategies
• Providing model based interest rate forecasts and the development of market mix models/predictive/econometric models
• Data manipulation, extraction and analysis
• Investigating global and regional macro-economic movements as well as policy developments
• Writing model development and validating documentation, ensuring all aspects of model delivery comply with regulatory and internal policy requirements and working closely with the entire risk department when modelling

• MA (Economics/Statistics), MSc. (Econometrics/Financial Statistics)
• 3 years operational experience in the banking industry, especially, Credit, Operations or Treasury
• IT proficiency and/or background is a major advantage

• Experience or training in the use of reporting and querying tools (Crystal Reports, TOAD, SQL)
• Knowledge of Oracle databases – Database management
• Proven knowledge of any Programming language
• Knowledge of Monte Carlo simulations and other analytical expertise e.g. advanced time series modelling skills
• Advanced skills in Microsoft Excel is desirable
• Strong grounding in econometric modeling skills and experience in statistical analysis to predict future trends and financial market behavior patterns
• Working knowledge of statistical software such as R, Stata, SAS is desirable
• Ability to convert analysis into real actionable solutions