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
How do I apply for the Credit Risk Modeler job at Ford Motor Company?
Use the apply link on this page: you apply directly with Ford Motor Company on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.
What skills does Ford Motor Company want for this Credit Risk Modeler role?
The job description asks for Masters in Finance, Financial Engineering, Analytics, Mathematics, Computer Science, Statistics, Industrial Engineering and Operations research. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.
How can I get a job at Ford Motor Company?
Apply to the Ford Motor Company roles that match your experience, and tailor your resume to each job description: for this role that means showing Masters in Finance, Financial Engineering, Analytics. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.
Is this Credit Risk Modeler job remote or onsite?
This is based in Chennai, Tamil Nadu.
Is it free to apply? Does Fitboard charge anything?
Applying is free: you apply directly with Ford Motor Company, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.