Model Validation, Ai - Bengaluru, Karnataka, India - Northern Trust

Northern Trust

Verified Company

Bengaluru, Karnataka, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

About Northern Trust:

Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.

Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity.

With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.

Summary

Responsible for the validation of complex quantitative models used within the company, with focus on AI/ML and Credit Risk/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, credit risk, and time series models as well as assure that appropriate and good quality data was used for development.
Develops understanding of modeling methodologies in credit risk area (logistic regression, etc.), time series analysis and forecasting, and AI/ML models/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 117 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 indepth 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 problemsolving skills combined with conceptual and technical knowledge of risk concepts
Knowledge of AI/ML methodologies and algorithms such as deep neural nets, clustering, NLP methodologies, LLM, and other emerging AI/ML use cases
Knowledge of credit risk and time series modeling methodologies and their validation. Most if these models are used for CCAR/CECL purposes
Knowledge of Python and SAS is required; R and SQL preferred
Cloud computing knowledge is preferred

Experience Required

Postgraduate degree in a quantitative discipline (math, statistics, economics)
Experience of working with deep learning, LLM (GenAI, etc.), and other ML methodologies is preferred
Banking or similar industry qualification is preferred

Working with Us:

As a Northern Trust partner, greater achievements await.

You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.

Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve Join a workplace with a greater purpose.

Reasonable accommodation
We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.

Job ID R122350