Ai/ml, Fraud

**Date live**:
07/01/2025
**Business Area**:
Risk
**Area of Expertise**:
Risk and Quantitative Analytics
**Contract**:
Permanent
**Reference Code**:
JR-0000038163
In Risk Barclays develops, recommends, and implements controls and cost-effective approaches to minimise Barclay's risks, identifies and analyses potential sources of loss to minimise risk and estimate the potential financial consequences of an occurring loss.
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Join us as a AI/ML Fraud & Compliance Senior at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings ensure unapparelled customer experiences.
The person filling the role is responsible for being validator for a wide range of AI/ML models, especially generative AI models used in various business decision making process/strategies etc. These models/frameworks are crucially important for daily business management of the Barclays Group and its legal entities as well as to meet important regulatory requirements with respect to independent validation of these models.Lead validation projects independently by providing technical and domain related guidance and feedback through review of all IVU outputs generated by junior team members across several milestones within every validation.
To be a successful AI/ML Fraud & Compliance Senior you should have experience with:
Good years of experience in developing/validating the best-in-class tools and models for large financial institutions. Ability to effective challenge and improve the existing model methodology and model management process.
Strong analytical skills with experience of developing or validating AI/ML models on large data sets in in Hadoop/AWS environments, including but not limited to ML algorithms e.g. XGBoost, Light GBM, Random Forest, Natural language processing models etc. and deep learning frameworks e.g. Tensorflow, Pytorch, Keras etc.
Hands on experience with Generative AI (LLMs, Transformers, RAG, GANs etc.)
Knowledge of financial services portfolios, regulatory requirements, and model risk guidelines, e.g. SR 11-7, SS1/23, IFRS9, EU AI Act.
Good communication and influencing skills, ability to produce high quality written communication for technical and non-technical audiences.
Highly organized in terms of documentation and follow through.
**Some other highly valued skills may include**:
Experience in finance focused AI/ML models, including credit underwriting, stress testing and fraud detection.
Previous experience in model development, monitoring, model validation or good understanding of model risk and assessment techniques, predictive modelling.
Certification in generative AI / Large language model / Machine Learning is a plus.
Familiarity with AI ethics, bias detection, and responsible AI practices.
Ability to work in a high performing team, and the ability to work and liaise with others in a diverse team.
You may be assessed on essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
Job location of this role is Noida.
Purpose of the role
To validate and approve models for specific usages both at inception and on a periodic basis, and of model changes, as well as conducting annual reviews.
Accountabilities
Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models.
Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses.
Assessment of any compensating controls used to mitigate Model risk.
Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement.
Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning.
Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty.
Assistant Vice President Expectations
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership b