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The Model/Anlys/Valid Sr Officer I is a strategic professional responsible for developing and validating methods for measuring and analyzing risk, overseeing model development and deployment efforts, advancing risk management methodologies, managing assessments, and solving data science challenges. The role requires working with large datasets, creating innovative solutions, and ensuring compliance with internal and external guidelines. The role includes providing leadership and mentoring to junior team members, working cross-functionally, and making significant contributions to business strategy.
Job Responsibility:
Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational
develop models and oversee model development, validation, and deployment efforts
advances Risk Management methodology and integrate models into business decisions and planning
manage successful annual quantitative and qualitative assessments and submissions
works with large datasets and complex algorithms to solve data science challenges
leverages big data to develop innovative deployable solutions
help introduce best-in-class, cutting edge model techniques to drive profitability through innovation
ensures timely model performance tracking and assist in process automation to drastically improve process/operation efficiencies
ensures the compliance of development and validation of models with respect to internal and external guidelines
supports the development of training curriculum and standards
partners with Risk and Decision Management organizations to understand the source of new data and improve its utilization
interacts with senior levels of management to facilitate understanding of usage of risk models and inform critical decisions
provide leadership and guidance to junior modelers
assesses risk when business decisions are made, demonstrating consideration for the firm's reputation and ensuring compliance with laws, rules, and regulations
Requirements:
10+ years experience
sound knowledge of statistical modeling concepts and industry best practices
experience with econometric and statistical modeling or application risk scoring
excellent quantitative and analytic skills
ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis
experience with analytical or data manipulation tools (e.g. SAS, SQL, R, C Programming in UNIX)
proficient with MS Office suite
ability to deliver compelling presentations and influence executive audiences
excellent communicator
ability to engage and inspire team forward
ability to drive innovation via thought leadership while maintaining end-to-end view
effective cross-functional project, resource, and stakeholder management
effectively engage with internal audit and external regulators
experience working in Big data environments
intellectual curiosity to stay abreast of technological advances
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