Barclays Bank Jobs – Head, Portfolio Analytics & Management Information (AVP)

Organisation: Barclays Bank
Duty Station:  Kampala, Uganda
Reports to: Head, Retail
Credit Risk
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 Head,
Portfolio Analytics & Management Information (AVP) will oversee the
Analytics function and take primary accountability ensuring that analytical
solutions/monitoring packs, Management Information (MI), modelling,
profitability measurement and Impairments are managed effectively, aligned to
process compliance as per policy guidelines. This will be done through;
Ensuring Group reporting deadlines are adhered
Manage development of MI required for key
committees within country
Assess portfolio profitability, growth and risks
on an ongoing basis
Actively participate in forecasting and provide
analysis required to make informed decisions
Working closely, co-ordinate and provide various
inputs and responses, as required, on impairments, forecasting, MI and
analytics to stakeholders
Establishment and maintain effective working
relationship with key stakeholders across business
Key Duties and
1. MI & Analytics: 50%
Manage consistent and timely delivery of
analytics support to minimize losses and maximize profits through Trend
Analysis,  Impairment Analysis, Account
management analysis, Profitability analysis, Stress testing, Fraud analytics,
Collections strategies and loss reduction strategies
Identify opportunities to reduce loss, enhance
revenue by building new rules & strategies, collection strategies, cross
sell, up sell models
Identify new opportunities for enhancing,
streamlining services through use of advanced analytics, automation and
Use of statistical tools and techniques such as
– forecasting, segmentation, predictive analytics etc.
Evaluate projects from a business perspective
and showcase analytics value add across projects and different forums
2. Impairment & Models: 35%
Make sure that all relevant models are
understood and input into its development are provided
Actively participate, review and challenge in
the working day meetings to establish month end impairments forecasts and
understand impairment drivers
Guarantee all modeling issues are pro-actively
identified and addressed by regularly engaging with relevant stakeholders, for
instance if model inputs appears to be missing or inaccurate, this need to be
addressed and communicated to stakeholders
Manage the monthly impairment processes ensuring
that adequate controls are maintained over impairments
Ensure that models are appropriate for the
business use and that they are monitored and tracked as per policy
3. Leadership: 15%
Develop a highly motivated team of credit
analysts maintaining excellent relationships within own team and wider business
to ensure achievement of business goals.
Consider the training and development needs of
the team and support the development and implementation of solutions.
Ensure effective performance development and
succession planning for the team.
Encourage frequent knowledge sharing between
team members.
Carry out quarterly PD discussions with team
members according to PD guidelines.
Interview and recruit new members of the team,
including determining appropriate compensation levels with input from Human
Address poor performance of any team member
through a formal development programme and ensure that continued poor
performance is appropriately dealt with.
Motivate team members and ensure that their
efforts are recognised.
Qualifications, Skills and
The ideal candidate should hold a Bachelors of
Science in Mathematics / Statistics / Quantitative Economics / Applied or
Mathematical Economics / Computer science / Data analytics
Possession of a Masters of Science in
Mathematics / Statistics / Economics / Applied or Mathematical Economics /
Computer science / Data analytics or an MBA with specialization in Finance is
highly preferred
Past exposure and experience in a analytics role
in the financial services industry
At least four years’ experience in credit Risk
Analytics or Business Planning
Extensive Knowledge of SAS, SQL and other
statistical programming languages
Proficiency in financial Modeling in Excel
Business Process Management skills
Skills in the development of customer (internal/
external) orientation
Advanced Relationship Management skills
Extensive financial services knowledge
Barclays Knowledge
Highly flexible and adaptable
Advanced Innovative Approach
Advanced Teamwork
Advanced Result Orientation
Advanced Problem Solving
Advanced Decision Making skills
Excellent verbal and written communication
Advanced Systems Knowledge
Advanced Accounting Concepts & Principles
Risk Detection and Monitoring
Analytics and Modeling
Excellent statistical background and skills
Highly analytical mindset
How to Apply:
If 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:
-> Job Number (Type 00158911)
Barclays is an equal opportunity employer that recruits, develops and
promotes people on merit, and rewards outstanding performance, regardless of
background and gender.
For queries contact us on 0417122453 or email:
Deadline:  26th May, 2014

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