Financial Risk Credit Modeler
OneMagnify (company site, opens in a new tab)ChennaiOn-siteDirect career pageEst. 10–20 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy Generative AI tools and Large Language Model (LLM) applications to support credit risk modelers and enhance efficiency.
- Develop and validate credit risk models using GCP, SAS, R, and Python, delivering actionable insights to improve business outcomes.
- Lead AI infrastructure development for risk analytics, ensuring data privacy, security, and compliance in all AI tools and solutions.
Minimum Requirements
- Masters degree in Finance, Financial Engineering, Analytics, Mathematics, Computer Science, Statistics, Industrial Engineering, Operations Research, or related field.
- Proven hands-on experience in Artificial Intelligence and extensive experience with Google Cloud Platform (GCP).
- Strong knowledge of credit risk modeling techniques including Probability of Default (PD), Loss Given Default (LGD), and Exposure At Default (EAD).
- Programming skills in GCP, R, SAS, and Python; proficiency with Excel, PowerPoint, and Word. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in applying predictive modeling and statistical methodologies for credit risk quantification and validation in financial contexts.
- Able to translate technical AI and modeling solutions to practical workflows and collaborate closely with quantitative analysts and modelers.
- Familiarity or experience with cloud-based analytical solutions development, especially using GCP, and adherence to strict data governance and security standards.