Olamide Jolaoso

• Recruited to drive the banks data-driven digital strategy with a specific focus on data being a pillar to support a digital dominant bank
• Lead a team of 22 data professionals, including data science, data engineering, visualization, and data governance compliance.
• Champion the Data & Intelligence Pillar for the Bank's medium term strategic goals.

Key accomplishments:

• Automated the delivery of churn and recommendation models, resulting in a 75% success rate.
• Developed an enterprise self-service data visualization platform, saving Power BI subscription costs.
• Created a social media listening application, saving $38,000 annually in third-party subscription costs.
• Implemented an enterprise data warehouse on the Microsoft Azure Cloud Platform.
• Pioneer and lead of the first Data Hackathon initiative aimed at improving bank-wide data literacy.

• Appointed to drive the adoption of Artificial Intelligence and Machine Learning to solve business problems along the areas of customer acquisition, revenue generation and cost reduction
• Led a team of 8 data scientists in delivering data science and analytics solutions to drive decision-making.
• Responsible for supporting the Chief Data Officer in managing the data engineering, data governance, and business intelligence functions.

Key accomplishments:

• Led the implementation of a machine learning and rule-based fraud detection solution, saving over $1 million in vendor costs.
• Built a custom social media listening application, saving over $8,000 in annual subscription costs.
• Responsible for delivering an enterprise chatbot solution.
• Developed a customer churn model, increasing customer deposits by 95% ($1.7 million) during pilot experimentation.
• Re-ran the customer churn model in 2020, preventing 59% of customers from becoming inactive.
• Built a customer loan default prediction model, resulting in a 2% reduction in loan default rates, amounting to $51.5 million in reduced loans at risk.

• Selected to lead the transformation of the operating methodology towards being data and analytics-driven.
• Pioneered the effective use of existing data to derive actionable insights, converting knowledge into revenue.

Key accomplishments:

• Developed and implemented a Customer Lifetime Value and Customer Classification Project.
• Created customer personas and profiles for retail customers, identifying 8 different customer personas for customer acquisition strategies.
• Led the delivery of data analytics projects on time through agile sprint planning.

• Achieved $16 million in customer deposit growth in six months through the Bankphone Proposition for the mass market segment.
• Established the bank's diaspora proposition, acquiring 1,000 customers in several locations in the UK.
• Negotiated the Sterling-Arsenal partnership, acquiring new customers with deposit and income generation through the Sterling-Arsenal Debit Card.

• Led client engagement services.

• Executed customer transactions, including deposits, withdrawals, money orders, and checks. Revised