Head of Retail Analytics.Pak DRB.Retail Banking Group-MBPKLTD

The Head of Retail Analytics role is a part of the business function and is responsible for creating & sustaining a world-class advanced analytics team in Pakistan to drive growth & efficiency within the retail & SME customers of Mashreq Bank Pakistan. The role is expected to work closely with business heads, product heads & enabling functions to effectively drive data strategy, business insights & application of advanced analytics use cases for improving customer experience & maximizing profit.

Setting-up the Retail Analytics team in Pakistan in terms of people, process & platforms to support the retail individual as well as SME customers
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Advising the data strategy for the retail bank both in terms of internal as well as external data to maximize value for Mashreq Bank Pakistan
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Ensuring design & delivery of key KPIs required for executive, business, products, digital teams, frontline & operational reviews of the PK Retail Bank at country & group level
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Identifying, prioritizing, designing & delivery of advanced analytics uses cases to drive business growth as well as cost optimization across all verticals within the Retail Bank
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Partner with stake holders to operationalize effective customer contact management framework
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Implement latest technologies in ML, AI and robotics for continuous digitization of all data interactions
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Work closely with data engineering teams to build consumption & business utilization architectures for thirds party, partners and journey generated data
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Work closely with chapters and tribes to digitize data reporting, forecasting and planning across a fully digital organization.
Classification: Internal Use

Bachelor's or Master's degree in Engineering, Economics, Mathematics / Statistics, Business Administration or a related field
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A minimum of 12 years of experience in data & analytics in retail banking or related industries, with at least 7 years in a managerial role
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Prior hands-on experience in all 4 steams of analytics, i.e., Descriptive, Diagnostic, Predictive & Prescriptive is a must for this role
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Strong data engineering skills in traditional as well as modern ETL tools with exposure to big data environment is a must for this role
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Hands on experience of AI / ML model (regression, decision tree, neural-net, segmentation etc.,) development, validation & deployment is a must for this role
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Deep understanding of digital data, digital MI (management information) & digital analytics is preferred for this role
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Demonstrated ability to lead and motivate analytics resources is preferred for this role
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Sound understanding of customer experience (CX) & implications of data & analytics in a retail business for CX is preferred for this role
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Prior experience in risk analytics in retail or SME banking analytics is preferred for this role