Aiml Validation, Avp

Join us as a AIML Validation 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 ensuring unapparelled customer experiences.

Independent Validation Unit (IVU) is one of the key areas under MRM. As a second line defence function, IVU approves or rejects models following a technical review thereby ensuring transparency and effective management of risk associated with any model in which Barclays relies upon for financial or non-financial decisions. The IVU Team has responsibility for the Independent Validation of various model types (e.g. capital, impairment, underwriting, behaviour, collection & recovery, existing customer management (ECM), fraud, compliance, financial crime and stress testing models etc.). It provides assurances to the senior managers including the individual Business Chief Risk Officers and the Group CRO and Finance Director (through the Executive Models Committee) on the key aspects associated with risk models.

To be a successful AIML Validation Senior you should have experience with:

- Advanced understanding of the quantitative techniques used in developing and validating Compliance models including Financial Crime, Transaction Monitoring, Anti Money Laundering, Market/Trade Surveillance
- Both statistical and scenarios/rules based models including Artificial Intelligence/Machine Learning (Large Language model - LLM, Natural Language Processing - NLP, Random Forests, Gradient Boosted Machines, Deep Neural Networks etc.) as well as decision trees, cluster analysis and logistic regression.
- Understanding and prior work experience in financial crime typologies (transaction monitoring and market/trade surveillance) and have domain experience.
- Good years of experience in Model Risk Management is mandatory.
- Experience in review and building scenario design across financial crime domain.
- Strong analytical skills with hands on experience developing or validating predictive machine learning models on large data sets in in Hadoop/AWS environments using tools such as Python, R, SAS, Spark and MLLib.
- Expert user of Microsoft Excel and other Microsoft Office tools.
- An ability to identify and analyse appropriate external data sources for model development or validation.
- Minimum qualification required for the role is Masters.

Some other highly valued skills may include:

- Relevant experience in a modeller/validator role in the financial services industry
- Certifications/courses in Machine Learning, Compliance (Financial Crime, Transaction Monitoring, Anti Money Laundering, Market/Trade Surveillance etc.)

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 behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Deve