Credit Risk Modeler

2 days ago

Chennai, Tamil Nadu, India Ford Motor Full time
Description

Potential candidates should have knowledge in general math modeling, Artificial Intelligence and GCP. Candidates should have hands-on experience in developing quantitative models. They should possess the ability to translate a business problem into an analytical problem, recommend, implement and validate quantitative models, and generate/deliver insights to stakeholders.  Preference would be given to candidates that are intellectually curious, innovative thinkers, and have demonstrated ability to solve problems independently.  

 

Responsibilities
  • 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
  • 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. 

  • 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.

  • 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

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