Job Description The Credit Retail Collections Data Science Manager is responsible for overseeing the Retail Credit collections processes, utilizing data mining and business intelligence to optimize credit risk management and collections strategies. This role involves analyzing financial data, developing predictive models and reporting, and implementing data-driven solutions to improve the efficiency and effectiveness of the Retail Credit Collections department Data Analysis and Reporting: Analyze credit and collections data to identify trends, patterns, and opportunities for improvement. Develop and maintain regular reports and dashboards for senior management. Predictive Modeling: Create and implement predictive models to assess credit risk and forecast collections performance. Strategy Development: Develop and execute strategies to optimize credit approval processes, reduce delinquency rates, and improve collections efficiency. Self Leadership: taking proactive responsibility for one's own actions, decisions, and development Stakeholder Collaboration: Work closely with other departments, such as Retail Segment, Credit Sanctioning to align credit and collections strategies with overall business objectives. Compliance and Risk Management: Ensure compliance with relevant regulations and company policies. Identify and mitigate potential risks in the credit and collections processes. Comply with governance in terms of legislative, regulatory and audit requirements Technology Utilization: Leverage advanced analytics tools and software to enhance data mining and business intelligence capabilities. Qualifications: Bachelor's degree in Finance, Business, Economics, or a related field Proven experience in credit and collections management, with a strong focus on data analytics and business intelligence. Proficiency in data analysis tools and business intelligence software Strong analytical and problem-solving skills. Excellent communication and leadership abilities. Knowledge of relevant regulations and compliance requirements. Skills: Data mining and predictive analytics Financial analysis and reporting Strategic planning and execution Team leadership and development Risk management and compliance Advanced proficiency in analytics tools and software #Post #FNBBotswana #LI-RN1 Job Details Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below. 18/07/25 All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties. Introduce yourself to our recruiters and we will get in touch if there's a role that seems like a good match. Should you have any queries, please log it via MyQ. FirstRand provides a comprehensive range of financial services in South Africa and certain markets in broader Africa. The group also offers certain niche products and services in the UK and India. Listed on the Johannesburg Stock Exchange (JSE) and the Namibian Stock Exchange (NSX), FirstRand Limited is the largest financial institution by market capitalisation in Africa. The group follows a multi-branding approach. Its portfolio of financial services businesses includes FNB, RMB, WesBank, Ashburton Investments, Aldermore, MotoNovo and DirectAxis. Many are leaders in their respective segments and markets, offering transactional, lending, investment and insurance products and services The FirstRand Corporate Centre houses many of the critical functions required by a large and complex financial services group. The group's track record of delivering superior returns to shareholders has been achieved through a combination of organic growth, acquisitions, innovation and the creation of completely new businesses. The group’s purpose of delivering Shared Prosperity provides many opportunities for employees to innovate to address social and environmental challenges in our markets. All of our businesses have successful Volunteering programmes which also allow employees to adopt and support causes close to their hearts.
