Job Description
Job DescriptionCentral Bank Of India Recruitment 2...At least 5+ years of experience in the field of Data Analytics with extensive consulting exposure/exposure in key business functions of Corporate Investment Banking (CIB), Treasury, Retail bank like payments, Risk and Transformation, account KYC and AML, credit cards, KYC, Mortgage, Wealth Management, and Investments.
Experience of handling multiple stakeholders and leading Data Science (Machine Learning/AI)-based transformation programs with critical impact for banks.
Experience of proposing and executing solutions, and present deliverables to stakeholders.
Robust knowledge of advanced data mining, curating, processing, and transforming techniques Strong foundation and understanding of mathematical, statistics and Machine Learning (ML) of parametric and non-parametric models.
Experience in working advanced Machine Learning techniques like Linear Regression, Logistics Regression, Bagging and Boosting algorithms (Random Forest, XGBoost, GBM, etc.), K Nearest Neigbhour, Neural Networks, Time series Forecasting, and other advanced algorithms.
Understanding of ML lifecycle, including feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loopExperience of developing new POCs for building team capabilities.
Working exposure on low default portfolios and adjusting existing models as per requirementsWorking experience on both regulatory based models and customer-based model development and deployment
Experience of handling multiple stakeholders and leading Data Science (Machine Learning/AI)-based transformation programs with critical impact for banks.
Experience of proposing and executing solutions, and present deliverables to stakeholders.
Robust knowledge of advanced data mining, curating, processing, and transforming techniques Strong foundation and understanding of mathematical, statistics and Machine Learning (ML) of parametric and non-parametric models.
Experience in working advanced Machine Learning techniques like Linear Regression, Logistics Regression, Bagging and Boosting algorithms (Random Forest, XGBoost, GBM, etc.), K Nearest Neigbhour, Neural Networks, Time series Forecasting, and other advanced algorithms.
Understanding of ML lifecycle, including feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loopExperience of developing new POCs for building team capabilities.
Working exposure on low default portfolios and adjusting existing models as per requirementsWorking experience on both regulatory based models and customer-based model development and deployment
💡 Quick Summary
Seeking a career-building opportunity? The Looking Early Joiners Data Scientist| Banking position is now open for candidates interested in the Bank Jobs sector. This role in Noida offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
