We are seeking a highly skilled Lead/Senior Data Scientist specializing in Credit Risk to join our dynamic team. In this role, you will spearhead the development and implementation of advanced predictive models and analytics that drive our credit risk strategies. You will collaborate closely with cross-functional teams, including risk management, product development, and technology, to enhance our risk assessment processes. Your responsibilities will include designing and executing data-driven models, conducting statistical analyses, and interpreting complex data sets to provide actionable insights that inform business decisions.
The ideal candidate will possess a strong background in machine learning, statistical modeling, and data mining techniques. Proficiency in programming languages such as Python or R, combined with experience in SQL and big data technologies, is essential. You will be responsible for mentoring junior data scientists, conducting performance evaluations of existing models, and ensuring compliance with regulatory standards. Strong communication skills are vital, as you will present findings to both technical and non-technical stakeholders. A Master's or Ph.D. in a quantitative field, such as Mathematics, Statistics, or Computer Science, along with a minimum of 5 years of relevant experience in credit risk or financial services, is preferred.
If you are passionate about leveraging data to drive strategic decision-making and possess a proven track record in credit risk analytics, we invite you to apply. Join us in shaping the future of our organization through innovative data solutions and make a significant impact in the financial services industry.
Lead/Senior Data Scientist (Credit Risk)
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