Credit Risk ModelerFord Motor Companyfull-timeRequired skillsPythonArtificial Intelligencebusiness objectivescommunication skillsGCPmachine learningregressionSASstatisticsAbout the role Ford Motor Company Website: ford.com Job details: Develop and validate credit risk modelsEnhance the usage of Artificial Intelligence / ML and transform into more efficient solutions.Using GCP, SAS, R, Python, for model building and model validationContinual enhancement of statistical techniques and their applications in solving business objectivesCompile and analyze the results from modeling output and translate into actionable insightsPrepare PowerPoint presentations and document preparation for the entire credit risk modeling processCollaborate, Support, Advise and Guide in development of the modelsAcquire and share deep knowledge of data utilized by the team and its business partnersParticipate in global conference calls and meetings as needed and manage multiple customer interfacesExecute analytics special studies and ad hoc analysesEvaluate new tools and technologies to improve analytical processes Set own priorities and timelines to accomplish projects (accountability for project deliverables)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 cycleStatistics and machine learning techniques.Conducted and applied statistical methodologies including linear regression, logistic regression, ANOVA/ANCOVA, CHAID/CART, cluster analysisTeam 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 clearlyExperience 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 abilityPractical applications of mathematical modeling and Artificial Intelligence Click on Apply to know more. This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.