Associate Consultant, Model Validation(AI/ML) - Northern Trust

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 7 months ago
3-6 years
Bengaluru / Bangalore, Karnataka
work from office

Posted: 7 months ago
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Applicants: 149+
Job Description
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Job 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 worlds 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 worlds most sophisticated clients using leading technology and exceptional service.
Summary
Responsible for performing a variety of moderately complex risk analytics with focus on AI/ML models. Resolves moderately complex issues in advanced data modeling and measuring risk. 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. This role requires a combination of strong quantitative skills and AI/ML technical knowledge.
Major Duties
  • Validation of Artificial Intelligence (AI), Machine Learning (ML) and Generative AI (GenAI) models
  • Independently validate AI/ML and GenAI models across supervised, unsupervised, reinforcement learning and foundation model categories.
  • Evaluate Gen AI model risk, including hallucination, prompt injection, data leakage, reproducibility, and alignment with Responsible AI principles.
  • Assess model robustness, interpretability, fairness, and bias through quantitative and qualitative techniques.
  • Also responsible for validating complex statistical and/or algorithmic models used across bank in areas such as, Technology/Risk/Regulatory/Capital/Treasury/InterestRate/EconomicResearch/Fraud/Compliance models etc.
  • Ensures model development, monitoring, and validation approaches meet regulatory expectations as needed 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 unit / function and complex modeling techniques used.
  • Clearly communicate the complex issues/findings of the model validation outcomes to stake holders.
  • Keep abreast with latest regulatory requirements around model risk management.
  • Assesses validation requirements and actively provides solutions to enhance the model validation framework.
  • As part of centralized Model Validation team within the bank, expected to work on varied areas of risk management.
Knowledge/Skills
  • Experience with Machine Learning models (supervised/unsupervised learning, neural networks, classification, clustering, hyperparameter tuning, etc.) desired.
  • Strong knowledge of AI/ML techniques including classification and clustering, gradient boosting, neural networks, NLP models, and foundational models like GPT, BERT, etc.
  • Experience in validating machine learning models for performance, fairness, explainability, and compliance; Familiarity with GenAI risks and controls: hallucination detection, retrieval-augments-generation (RAG), prompt engineering, etc.
  • Good to have some understanding of models used in stress testing, CCAR, CECL, BASEL regulations etc.
  • Excellent oral and written communication skills.
  • Knowledge of risk measurement required to support function.
  • Strong analytical and problem-solving skills.

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Experience Required
  • Advanced degree in quantitative discipline (Finance, Math, Statistics, and Economics) or advanced degree in Computer Science with focus on AI/ML or equivalent career experience preferred.
  • A relevant work experience of 3 to 6 years is required.
  • Programming experience in Python required, experience in SAS and R desired.
  • Mastery of analytical tools, such as, Excel as well as Word and PowerPoint is required.
  • Strong Preference for candidates with certifications in AI/ML or CFA/FRM/CQF
  • Familiarity with cloud and big data technologies is desired.
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.
Wed love to learn more about how your interests and experience could be a fit with one of the worlds most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater
Reasonable accommodation
Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at [HIDDEN TEXT] .
We hope youre 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.
Apply today and talk to us about your flexible working requirements and together we can achieve greater.

Skills

Artificial IntelligenceBig DataPythonData ModelingImplementationMachine LearningAi/mlPrompt EngineeringAnalyticsAiMl

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Important dates & deadlines?

Application Deadline

25 Nov 25, 05:10 PM IST

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Associate Consultant, Model Validation(AI/ML) - Northern Trust

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