OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in agile markets.

The Impact You’ll Have:
As a Financial Risk Credit Modeler, you'll help an enterprise client make smarter, data driven lending decisions by developing and enhancing credit risk models that support its global financial services business. You'll transform complex business challenges into quantitative solutions using advanced modeling techniques, artificial intelligence, and Google Cloud Platform (GCP) to improve risk assessment, forecasting, and portfolio performance. By designing, implementing, validating, and continuously refining predictive models,



you'll deliver actionable insights that enable stakeholders to balance growth with risk while driving better business outcomes. Your analytical expertise, intellectual curiosity, and cutting-edge problem solving will play a key role in advancing the organization's enterprise risk management strategy.

What you’ll do:
Develop and validate credit risk models
Enhance the usage of Artificial Intelligence / ML and transform into more effective solutions.
Using GCP, SAS, R, Python, for model building and model validation
Continual enhancement of statistical techniques and their applications in solving business objectives
Compile and analyze the results from modeling output and translate into actionable insights
Prepare PowerPoint presentations and document preparation for the entire credit risk modeling process
Collaborate, Support, Advise and Guide in development of the models
Acquire and share deep kn

📌 Financial Risk Credit Modeler Chennai
🏢 OneMagnify
📍 Chennai