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Model Risk Management-BA3

Barclays · Posted Oct 27

Banking, credit card, corporate, investment banking, and wealth management services

Noida, IndiaFull-timeOnsiteSenior Level4–8 years₹22.0L–₹35.0L yearly100+ applicants
BankingFinancial ServicesInvestment BankingCredit CardsWealth ManagementPublic Company
Full time

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About the role

Barclays' Model Risk Management function independently reviews and challenges quantitative and qualitative processes categorized as models, spanning Capital, Artificial Intelligence & Machine Learning (AIML), Stress Testing and Treasury frameworks. The team validates and approves models for their intended use at inception and periodically, documents validation findings, and designs the framework and methodology to measure model risk. This BA3 role in Noida performs model validation and compensating-control assessments, supports governance and reporting processes, and ensures compliance with regulatory requirements and internal policy standards.

What you will do

  • 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.
  • Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise-Wide Risk Management Framework and internal Barclays Policies and Policy Standards

Skills used in this role

What the employer is looking for

  • Providing independent review (IR) and challenge of quantitative and qualitative processes categorized as models (models can be from Capital, Artificial Intelligence & Machine Learning (AIML), Stress Testing, Treasury etc. framework) to a high degree of depth, as required by, and detailed in the Bank’s policies and standards.
  • Providing input to/support the governance and reporting processes related to the Model Risk
  • Highly numerate, as demonstrated by Honours degree, Masters or similar in a quantitative subject such as Mathematics, Physics, Operational Research, Economics, or Finance
  • Proficient knowledge of coding in Excel-VBA/R/SQL/C++/Python or equivalent language, including handling large datasets and writing functions.
  • Good communication and influencing skills, ability to produce high quality written communication for technical and non-technical audiences.
  • Highly organised in terms of documentation and follow through.
  • Experience in Data understanding / handling and manipulations, data control and its importance.
  • Awareness of reporting and Data Visualization tools
  • Ability to think strategically and ability to focus on the whole portfolio of MRM activities

Preferred qualifications

  • Bachelor’s in quantitative fields, such as Mathematics, Physics, Operational Research, Finance, and Economics
  • Relevant experience in Model validation, Data Analytics, Banking & Finance, Python, Qlik & Tableau
  • Ability to work in a high performing team, and the ability to work and liaise with others in a diverse team
  • Beyond risk management, knowledge in financial projection, algorithm design

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Barclays

Barclays is a British multinational universal bank that provides consumer, corporate, and investment banking, as well as wealth management services. Tracing its origins back to 1690 in London, the institution operates globally to serve millions of retail and institutional clients. The bank leverages cutting-edge technology and digital platforms to drive operational efficiency across its international network.

Industry
Banking
Company size
93000+ employees
Founded
1690
Location
London, United Kingdom
Funding stage
Public Company

Leadership

CV
C.S. Venkatakrishnan

Group Chief Executive

AC
Anna Cross

Group Finance Director

AC
Alistair Currie

Group Chief Operating Officer

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