AM - Fraud & AIML Model Validation

5-7 years
a month ago 14 Applied
Job Description

Job Title : AM - Fraud & AIML Model Validation

Location: Noida

About Barclays

Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.

Risk and Control Objective

Take ownership for managing risk and strengthening controls in relation to the work you do

Working Flexibly

We're committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers and clients needs. Whether you have family commitments or you're a carer, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life. If you would like some flexibility, then please discuss this with the hiring manager, and your request will be reviewed subject to business needs.

Hybrid Working

Structured Hybrid Role

At Barclays, we offer a hybrid working experience that blends the positives of working alongside colleagues at our onsite locations, together with working from home. We have a structured approach where colleagues work at an onsite location on fixed, anchor, days of the week, for a minimum of two days a week or more, as set by the business area (or nearest equivalent if working part-time hours). Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that as we continue to embed our hybrid working environment, we remain in a test and learn phase, which means that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business.


  • Provide independent review (IR) for various types of validations and challenge different aspects of material / key models (Data Relevance & Quality, Conceptual Soundness, Model Performance etc.) across different model types: Strategic, Artificial Intelligence/Machine Learning (AI/ML); Random Forest, Gradient Boosted Machines and Deep Neural Networks; Regression, Decision Trees Large Language model (LLM), Natural Language Processing (NLP), etc. to a degree of depth, as required by and detailed in the Bank's policies, procedures, and standards.
  • Engage with model owner and developers to ensure all supporting material required for validation is received timely, in accordance with the validation schedule.
  • Perform technical analysis, independent tests, benchmarking, build challenger models to support the IVU review and challenge process for all new and existing models, to ensure accuracy of existing risk metrics to the standards required by IVU and to drive continuous improvements in methodologies.
  • Produce high quality MRM validation documentation leveraging the latest procedure, standard and templates.
  • Provide input to/support the governance and reporting processes related to model risk management.

What will you be doing

  • Key Model Validations
  • Validate Strategic and Artificial Intelligence/Machine Learning (AI/ML) based models across the bank by following Bank's policies, procedures, and standards.
  • Perform technical analysis, independent tests and/or build alternative benchmarks to new and existing models, in line with the requirements set out in the bank's policies, procedures, and standards.
  • Governance and Reporting
  • Review regulatory requirements to ensure compliance with different regulatory guidelines e.g., SR 11-7, SS 1/23, PRA, FRB.
  • Support the development and review conformance with appropriate policies including Group Model Risk policy.
  • Stakeholder Management
  • Ensure open, transparent, proactive, and timely interaction with major stakeholders (model owners/ developers) in alignment with Barclays Values and Behaviour principles.
  • Establish and maintain effective working relationship with the key stakeholders across businesses served.
  • Role requires influencing skills and problem-solving abilities to overcome issues inherently arising during the validation process.
  • Additional Engagements
  • Contribute to create presentations based on validation related topics for relevant model governance committees.
  • Contribute to AI/ML related trainings anchored by the incumbent team.
  • Support the model management team in tracking actions and the accuracy of Group Model Database (GMD).


What we're looking for:

  • Expertise on quantitative techniques used in developing and validating models including Strategic, AI/ML - Large Language model (LLM), Natural Language Processing (NLP), Random Forests, Gradient Boosted Machines, Deep Neural Networks, decision trees and cluster analysis.
  • Strong analytical skills with experience developing or validating predictive machine learning models (e.g., Large Random Forests, Gradient Boosted Machines and Deep Neural Networks, Language model (LLM), Natural Language Processing (NLP) etc.) on large data sets in in Hadoop/AWS environments using tools such as Python, Spark and MLLib with high focus on gaps/ issue identification.
  • Proven expertise/in depth knowledge of one or more of the following areas of model risk management: Fraud, IFRS9, Basel, Application/Behavioural Risk scorecards, Existing Customer Management etc.
  • Good communication and influencing ability to effectively follow through on requirements from stakeholder and strong documentation expertise.
  • Hands-on experience in the use of statistical packages such as SAS, R, Python. Expert user of Microsoft Excel, Word, PowerPoint, and other Microsoft Office tools.
  • An ability to identify and analyse appropriate external data sources for model development or validation.


Skills that will help you in the role:

  • Relevant experience in a modeller/validator role in the financial services industry.
  • Certification in Machine Learning


  • Masters in Statistics, Mathematics, Economics, Operational Research, Engineering, MBA

Where will you be working


Be More at Barclays

At Barclays, each day is about being more as a professional, and as a person. Be More @ Barclays represents our core promise to all current and future employees. It's the characteristic that we want to be associated with as an employer, and at the heart of every employee experience. We empower our colleagues to Be More Globally Connected, working on international projects that improve the way millions of customers handle their finances. Be More Inspired by working alongside the most talented people in the industry, and delivering imaginative new solutions that are redefining the future of finance. Be More Impactful by having the opportunity to work on cutting-edge projects, and Be More Valued for who you are.

Interested and want to know more about Barclays Visit for more details.

Purpose, Values and Mindset

We deploy finance responsibly to support people and businesses, acting with empathy and integrity, championing innovation and sustainability, for the common good and the long term.

Our values underpin everything we do: Respect, Integrity, Service, Excellence and Stewardship.


We harness the power of diversity and inclusion in our business, trust those we work with, and value everyone's contribution.


We operate with honesty, transparency and fairness in all we do.


We act with empathy and humility, putting the people and businesses we serve at the centre of what we do.


We champion innovation, and use our energy, expertise and resources to make a positive difference.


We prize sustainability, and are passionate about leaving things better than we found them.

Our Mindset shapes how we take action, living by our Values, driven by our Purpose, always with our customers and clients at the heart of what we do; our Mindset is to Empower, Challenge and Drive.


Trust and support each other to deliver. Make decisions with those closest to the topic. Include diverse perspectives. Celebrate success and learn from failure.


Question whether things can be done better. Use insights based on data to inform decisions. Be curious about how we can adapt and improve. Speak up and be open to alternative viewpoints.


Focus on outcomes. Deliver with pace. Be passionate and ambitious about what we do. Take personal responsibility. Actively build collaborative relationships to get things done.






Conceptual Soundness
Model Performance
Large Language model
Application Risk
Data Relevance
Model Risk Management
Behavioural Risk
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