Fraud & Aiml Validation

Job Title : Fraud & AIML 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

Hybrid Working

Structured hybrid role:
Introduction:
The primary purpose is to lead validation projects through a team of risk professionals responsible for the Independent Validation of various 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.

Ensure existing policy, procedure and standards are followed in each validation project and all control requirements are met.

Lead in creating response to all regulatory or internal audit review regarding validation projects. Identify change requirements based on internal or external review comments and drive the required changes existing procedures and standards.

This role will be part of Group Risk IVU team.

What will you be doing?

Team Management and Project Delivery
- Key Model Validations
- Validate Strategic and Artificial Intelligence/Machine Learning (AI/ML) based models as well as strategy 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.
- Manage independent review of 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. that include:

- Technical analysis and/or build alternative benchmarks to new and existing models, in line with the requirements set out in the bank’s standards and policies.
- Guide the team to perform technical analysis and reviews of new and existing models, to ensure continual improvement in model methodology.
- Strengthen the models control environment, meeting the requirements various internal and regulatory policies and standards, and leading the delivery of model validation requirements.
- Plan and prioritize projects and resources in discussion with the stakeholders, as per the time, budget, and quality standards.
- Drive process improvement through automation, standardization, centralization, and innovation
- Recruit top quality talent, review performance regularly, communicate strategic developments, set clear objectives, coach, train and develop staff.
- Build effective communication channels to ensure open communication and address any issues/concerns timely.
- Make sure the team is always audit ready and effectively manage all internal and external audits.

What we’re looking for:

- Strong analytical skills with experience developing or validating predictive machine learning models (e.g. Large Language model (LLM), Natural Language Processing (NLP), Random Forests, Gradient Boosted Machines and Deep Neural Networks etc.) on large data sets in in Hadoop/AWS environments using tools such as Python, Spark and MLLib etc.
- Extensive experience in risk modelling and/or analytics across various predictive models as well as Strategies - Fraud, acquisition/underwriting, ECM, pricing, affordability etc.
- Experience in developing/validating the best-in-class tools and models for large financial institutions. Ability to effectively challenge and improve the existing model methodologies and model management process.
- Knowledge of financial services portfolios, regulatory rules and model risk guidelines, e.g., SR 11-7, SS 1/23, PRA, FRB, macro economics and market /customer trends affecting the business
- Strong communication and interpersonal skills.
- Strong analytical background, data driven, results orientated with SAS, R or Python programming knowledge.


Skills that will help you in the role:

- Relevant experience in a modeller/validator role in the financial services industry.
- Team, project, and stakeholder management experience. Proven track record of managing cross functional relationships & delivering credible business analysis.
- Certification in Machine Learning
- Masters in Statistics, Mathematics, Economics, Operational Research, Engineering, MBA

Where will you be working?
Noida

Be More at Barclays
Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details.

Purpose, Values and Mindset
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