Develop and validate credit risk models
Enhance the usage of Artificial Intelligence / ML and transform into more
efficient 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

RESPONSIBILITIES
Collaborate, Support, Advise and Guide in development of the models
Acquire and share deep knowledge of data utilized by the team and its
business partners
Participate in global conference calls and meetings as needed and manage
multiple customer interfaces
Execute analytics special studies and ad hoc analyses
Evaluate new tools and technologies to improve analytical processes
Set own priorities and timelines to accomplish projects (accountability for
project deliverables)

QUALIFICATIONS
Masters in Finance, Financial Engineering,



Analytics or Mathematics, Computer
Science, Statistics, Industrial Engineering, Operations research, or related
field.
Valuable understanding of Probability of Default (PD), LGD and EAD modeling
technique.
Proven hand-on experience in Artificial Intelligence and extensive experience
in GCP .
Very positive understanding of Predictive modeling techniques and their
application.
Knowledge of Credit life cycle
Statistics and machine learning techniques.
Conducted and applied statistical methodologies including linear regression,
logistic regression, ANOVA/ANCOVA, CHAID/CART, cluster analysis
Team player and collaboration skills.
Programming skills in GCP, R, SAS, and PYTHON.
Fluency with Excel, PowerPoint and Word
Solid written and oral presentation / communication skills – must have the
ability to convey complex information simply and clearly
Experience with developing and i

📌 Credit Risk Chennai
🏢 Ford Motor
📍 Chennai