Cedent Consulting Inc
Sr. Manager, Quantitative Analysis - Mortgage (Cleveland, OH)
Cedent Consulting Inc, Cleveland, Ohio, us, 44101
Sr. Manager, Quantitative Analysis - Mortgage (Cleveland, OH)
Essential Job FunctionsReporting to the Head of Credit Modeling and Strategic Analytics, the primary responsibilities of the Sr Manager will include:
Leading the development of the Credit Loss Forecasting models, including supporting the implementation of modeling and analytical methodologies.Coordinating analysis and responses to Internal Model Risk Validation and External Auditors from the Federal Reserve and the OCC.Working closely with the Finance Management team as well as other critical stakeholders to shape and prioritize the modeling and analytical work efforts and plans.Providing advice and recommendations to business leaders within the company to ensure the highest standards of practice, including the incorporation of credit loss forecasts into the ongoing evaluation of risk.Performing complex quantitative and thoughtful qualitative assessments on all aspects of models including theoretical decisions, model design and implementation as well as data quality and integrity.Building and leading a team, providing professional guidance to a highly skilled workforce, and establishing plans and development goals to promote growth and success of the team and individuals.Needed Qualifications
5+ years of risk modeling and analytics experience (Python, SAS, R).Industry knowledge in Home lending within financial services.PhD or MS in quantitative field: finance, econometrics, mathematics, physics, engineering.Excellent communications skills – internally and externally, including with regulators.Required Qualifications
5+ years of risk modeling and analytics experience and industry knowledge in Home lending within financial services.Prior experience in developing CECL models is a strong plus.Preference for PhD or MS in quantitative field: finance, econometrics, mathematics, physics, engineering.Excellent communications skills – internally and externally, including with regulators.Experience in Python / SAS / R building credit loss models.Experience in developing and defining analytical methodologies.A leader and a motivator – who can recruit, retain and advance great people.A relationship builder, who can establish trust and credibility across the organization as well as with regulators and other critical external constituents.Impeccable integrity, sound judgment, and strategic vision.Department: Direct ClientsThis is a full-time position.
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Essential Job FunctionsReporting to the Head of Credit Modeling and Strategic Analytics, the primary responsibilities of the Sr Manager will include:
Leading the development of the Credit Loss Forecasting models, including supporting the implementation of modeling and analytical methodologies.Coordinating analysis and responses to Internal Model Risk Validation and External Auditors from the Federal Reserve and the OCC.Working closely with the Finance Management team as well as other critical stakeholders to shape and prioritize the modeling and analytical work efforts and plans.Providing advice and recommendations to business leaders within the company to ensure the highest standards of practice, including the incorporation of credit loss forecasts into the ongoing evaluation of risk.Performing complex quantitative and thoughtful qualitative assessments on all aspects of models including theoretical decisions, model design and implementation as well as data quality and integrity.Building and leading a team, providing professional guidance to a highly skilled workforce, and establishing plans and development goals to promote growth and success of the team and individuals.Needed Qualifications
5+ years of risk modeling and analytics experience (Python, SAS, R).Industry knowledge in Home lending within financial services.PhD or MS in quantitative field: finance, econometrics, mathematics, physics, engineering.Excellent communications skills – internally and externally, including with regulators.Required Qualifications
5+ years of risk modeling and analytics experience and industry knowledge in Home lending within financial services.Prior experience in developing CECL models is a strong plus.Preference for PhD or MS in quantitative field: finance, econometrics, mathematics, physics, engineering.Excellent communications skills – internally and externally, including with regulators.Experience in Python / SAS / R building credit loss models.Experience in developing and defining analytical methodologies.A leader and a motivator – who can recruit, retain and advance great people.A relationship builder, who can establish trust and credibility across the organization as well as with regulators and other critical external constituents.Impeccable integrity, sound judgment, and strategic vision.Department: Direct ClientsThis is a full-time position.
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