Credit Risk Modeler

Ford, Inc; Chennai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Ford is seeking a skilled credit risk professional in Chennai to develop and validate risk models and drive analytics projects. The role focuses on applying AI/ML techniques, leveraging GCP, SAS, R, and Python to build robust models and deliver actionable insights for business decisions.

The ideal candidate holds a Master’s in a related field, with strong communication skills and experience in financial risk management, cloud analytics, and data-driven storytelling.

Qualifications

• Masters in Finance, Financial Engineering, Analytics or related field.
• Experience with credit risk modeling is required.
• Proven hands-on AI experience and cloud expertise (GCP).

Responsibilities

• Develop and validate credit risk models and support additional analysis.
• Enhance AI/ML usage and transform into efficient solutions.
• Use GCP, SAS, R, Python for model building and validation.
• Advance statistical techniques for business objectives.
• Translate model results into actionable insights for stakeholders.
• Prepare presentations and documentation for the credit risk process.
• Collaborate and guide model development with teams.
• Share data knowledge with business partners.
• Participate in global calls and manage multiple interfaces.
• Conduct analytics studies and ad hoc analyses.
• Evaluate new tools to improve analytics processes.
• Set priorities and timelines for project deliverables.

Skills

PD modeling

LGD modeling

EAD modeling

Predictive modeling

Statistics

Machine learning

Credit life cycle

Communication

Data analysis

Education

Masters in Finance/Analytics/Mathematics/CS

Tools

GCP

SAS

R

Python

SQL

Job description

• Note: Internal candidates are requested to apply using their external CV. Applications submitted without an external CV will not be considered for further processing

• Masters in Finance, Financial Engineering, Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, or related field.

• Good understanding of Probability of Default (PD), LGD and EAD modeling technique.

• Proven hand-on experience in Artificial Intelligence and extensive experience in GCP .

• Very good 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

• Strong written and oral presentation / communication skills – must have the ability to convey complex information simply and clearly

• Experience with developing and implementing cloud based analytical solutions in GCP or similar set up.

• Develop and validate credit risk models and support additional analysis

• 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

• 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)

• Masters in Mathematics/Statistics/Economics/Engineering or any other related discipline or a track record of performance that demonstrate this ability

• Practical applications of mathematical modeling and Artificial Intelligence

• Demonstrated knowledge in credit and/or market risk measurement and management

• Excellent problem solving, communication, and data presentation skills

• Proficient with GCP, SAS, SQL, Python