As a Data Scientist Manager at Absa Bank, you'll lead the charge in shaping credit risk strategies and enhancing decision-making through data-driven insights. This role is perfect for someone with extensive experience in credit risk analytics and a passion for innovation in the financial sector.
dynamic and data-driven
At Absa Bank, the Data Scientist Manager plays a crucial role in developing and implementing credit analytics strategies that drive the bank's growth and risk management. You will lead a team focused on creating and automating scorecards and predictive models that enhance the bank's decision-making processes. Your expertise will help shape the bank's approach to credit risk across various segments, ensuring that strategies align with regulatory standards and business objectives.
In this role, you will engage with senior stakeholders from different departments, including Risk and Business Banking, to ensure that the analytics strategies are effectively integrated into the bank's operations. You will oversee the development of a data-driven credit operating model that enhances portfolio quality and risk-adjusted returns. Your leadership will be key in fostering a culture of innovation and continuous improvement within the analytics team.
To succeed in this position, you should have a postgraduate degree in Data Science or a related field, along with 8 to 12 years of experience in credit risk analytics, preferably within the banking sector. Strong leadership skills and a proven track record in stakeholder management are essential. Familiarity with modelling techniques such as logistic regression and machine learning will be critical for driving the bank's analytics initiatives.
This role is ideal for someone who thrives in a high-impact, data-driven environment and is eager to influence strategic business outcomes. If you are passionate about leveraging data to optimize risk and drive innovation, this position at Absa Bank could be your next career step.
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