Head of Retail Analytics

Mashreq Digital Bank Pakistan is looking for talented individuals to join us as we introduce our digital banking capabilities to the market. Our focus is on creating localized solutions that meet the ever-evolving needs of our customers. Mashreq is proud to be a half-century-old institution that thinks like a challenger, startup, and innovator. We are a pioneer in key innovations and developments in banking, from entry-level digital-first customers to powering some of the MENA region's most prominent corporations and wealth accounts. Our mandate is to help customers find their way to Rise Every Day, partnering with them through the highs and lows to help them achieve their goals and unlock their vision of success.

Join us in shaping the future of banking in Pakistan.

About the role

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
• 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
• 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
• 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
• Partner with stake holders to operationalize effective customer contact management framework
• Implement latest technologies in ML, AI and robotics for continuous digitization of all data interactions
• Work closely with data engineering teams to build consumption & business utilization architectures for thirds party, partners and journey generated data
• Work closely with chapters and tribes to digitize data reporting, forecasting and planning across a fully digital organization.

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

• Mid-Senior level

• Full-time

• Analyst

• Banking and Telecommunications