Summary
Date Posted: Thursday, September 12 2024, Base Salary: Not Disclosed

JOB DETAILS:
Job Purpose
To be a catalyst that will influence decision making to the bank. To achieve this, the role requires working with large volume of data, understanding the trends to influence the day-to-day decisions and predicting the future.

Principle Responsibilities
• Collecting, analyzing, and interpreting large datasets to uncover patterns and insights to inform decision making.
• Working closely with various stakeholders and providing useful data to boost and enrich insights including trends and behaviors for various uses.
• Procuring, preparing, cleansing, and modelling data utilising machine learning models and new analytical methods.
• Preparing data reports and presenting to stakeholders as well as providing necessary support in decision making.
• Using advanced mathematical and statistical methods to identify patterns and trends in complex data sets
• Creating machine learning models for prediction and personalization and imbedding it culture in finance ways of life.
• Developing visual reports, dashboards, and KPI trackers for the bank.
• Working closely with the data science team to design and run experiments, research new algorithms, and find new data sources.
• Ensuring the bank is kept up to date with the latest technology, techniques, and methods related to AI and data analysis
• Working closely with the data science team to design and run experiments, research new algorithms, and find new data sources.
• Being a central reference point for all new product developments

Qualifications Required
• Bachelor of Science degree in Data Science, Mathematics or related field.
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information.
• At least 4 Years of relevant experience in financial analysis.
• Conversant with widely used programming languages
• Knowledge of AI and machine learning methodologies
• Knowledge of Banking Products.
• Good Communication and Presentation skills
• Self-motivated and good team player
• Excellent interpersonal and networking skills, internally and externally.
• Ability to work well in a team, collaborating with data scientists, engineers, and other professionals to achieve project goals.
• Commitment and accountability
• Supervisory/Leadership Skills – i.e. lead by examples, Ability to inspire others.
• Honesty, Integrity & Creativity

Work Hours: 8

Experience in Months: 48

Level of Education: Bachelor Degree

Job application procedure
Interested and Qualified? Click here to apply

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