Genaral is an experienced professional with over 10 years of expertise in Credit Risk Management, Data Science, and Statistical Analysis in the financial services industry. As a renowned industry leader, Genaral has spearheaded data-driven initiatives to optimize decision-making processes and minimize risks. Currently completing a PhD in Financial Mathematics, Genaral has demonstrated a deep understanding of complex data ecosystems and their impact on risk management. With a track record of successfully implementing high-impact projects, Genaral has leveraged advanced data models, migrated rules, and centralized data to increase departmental efficiency by 25%. By presenting decision makers with real-time, quality data, Genaral's initiatives have enabled organizations to make informed decisions promptly.
In fact, these efforts resulted in a doubling of business growth and sales through the robustness and efficiency of credit risk function and credit risk modelling. Genaral's expertise extends to decision intelligence, empowering decision makers across organizations to measure, quantify, and predict risks. By employing a consistent methodology steeped in data-driven insights, Genaral has enabled companies to navigate the evolving risk landscape more effectively. Currently serving as the Senior Manager of Adjudication Strategy & Property Analytics at Canada Guaranty, Genaral is a subject matter expert in optimizing auto approval rates and validating adjudication models. Additionally, Genaral brings a systematic, risk-based approach to evaluating and improving risk management systems and control environments.
Genaral effectively communicates findings and insights to executives and senior management, providing concise and easy-to-understand reports. Previously, Genaral held senior roles in leading financial institutions, including TD Bank and Bayport Financial Services, where Genaral played a pivotal role in building credit risk frameworks, quantitative analytics, and implementing innovative credit decisions and strategies. Genaral has also been involved in regulatory modelling, credit scorecard development, and fostering the integration of AI and machine learning capabilities within credit risk analytics. Genaral holds a PhD in Financial Mathematics (in progress) from the University of KwaZulu Natal, along with a BSc Honours in Applied Mathematics and a BSc in Applied Mathematics and Statistics. Genaral possesses a wide range of skills, including credit risk management (originations, credit policy, collections, impairments), data science (AI and machine learning algorithms, big data mining), and proficiency in various systems and languages such as SAS, Microsoft SQL, R-Programming, Python, and more.
As a thought leader in the field, Genaral is excited to share insights and contribute to the high-level discussions on decision intelligence at the Summit AI, Data and Analytics Network's Decision Intelligence virtual summit on September 13th at 10:00 AM EST.
Traditional risk management approaches are no longer the optimal way of dealing with the emerging risk landscape because it excludes key factors--such as proactive risk prediction, uninsurable risks and understanding the relationship between different types of risks--that are only present within complex data. Organizations can improve risk intelligence by increasing visibility in key risk areas. This session with Genaral Rukanda, Risk Management and Decision Science, Toronto-Dominion Bank (current) Former, Head of Credit Risk, Bayport Financial Services will address: