Hired Consultant

Job Description

About Northern Trust: Northern Trust provides innovative financial services and guidance to corporations, institutions and affluent families and individuals globally. With over 130 years of financial experience and nearly 20,000 partners, we serve the world s most sophisticated clients using leading technology and exceptional service.Working with Us: As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company that is committed to strengthening the communities we serve! We recognize the value of inclusion and diversity in culture, in thought, and in experience, which is why we are honored to receive the following awards in 2021: Gender Equality Index Member, Bloomberg Top Financial & Banking Company, Black EOE Journal, Hispanic Network Magazine, Professional WOMANS Magazine We d love to learn more about how your interests and experience could be a fit with one of America s best banks and most sustainable companies! Build your career with us and apply todaySummary Responsible for the validation of complex quantitative models used within the company, with focus on AI/ML and PPNR models. Model validators perform independent analysis to provide effective challenge to the models by evaluating model related risks including input data, model assumptions and limitations, conceptual soundness, methodology, outcomes analysis, benchmarking, monitoring, and model implementation.Major Duties Responsible for validation of models that are typically developed in Python or SAS. Able to challenge conceptual soundness of machine learning and time series models as well as assure that appropriate and good quality data was used for development. Develops understanding of time series analysis and AI/ML algorithms used in supervised and unsupervised learning. Utilizes expertise in machine learning algorithms and statistics to challenge how algorithms are selected, trained, and tested. Has good understanding of CCAR stress testing and SR 11-7 model risk requirements Ensures model development, monitoring, and validation approaches meet regulatory expectations and internal risk management needs Provides analytical or risk measurement support to help meet both internal corporate and regulatory requirements Develop in-depth knowledge of business units/functions and complex modeling techniques used Independently validate models with focus on accuracy and completeness. Adept stakeholder management and smooth interaction with various model owners Clearly communicate the complex issues/findings of the model validation outcomes to stakeholders. Keep abreast with latest regulatory requirements around model risk management Evaluates existing model risk framework in relation to department objectives and industry leading practices, and actively provides solutions to enhance the model risk management/validation framework.Knowledge/Skills Strong analytical and problem solving skills combined with conceptual and technical knowledge of risk concepts Knowledge of AI/ML methodologies and algorithms such as deep neural nets, clustering and NLP methodologies Knowledge of time series modeling and validation, with focus on CCAR PPNR models Knowledge of Python and SAS is required; R and SQL preferred Cloud computing knowledge is preferredExperience Required Postgraduate degree in a quantitative discipline (math, statistics, economics) Experience of working with deep learning and other ML methodologies is preferred Banking or similar industry qualification is preferredAdditional Information,

Keyskills :
sqljavacustomer relationssapdocumentationtime series analysistime seriesdeep learningstress testingcloud computingrisk managementproblem solving