Barclays - Model Validation Role

Model Validation - Noida.

About Barclays :

Barclays is a transatlantic consumer, corporate and Investment Bank offering products and services across personal, corporate and investment banking, credit cards and wealth management, with a strong presence in our two home markets of the UK and the US. Our goal is to become the bank of choice by providing superior services to customers and clients and supporting our stakeholders via a commercially successful business that generates long-term sustainable returns.

Overall purpose of role :

Successfully balance the following responsibilities :

1) The person filling the role is responsible for being model validator for a wide range of IRB and IFRS9 models as well as support other model validation efforts in MTP, IST BoE stress testing frameworks or Anti Money Laundering models etc.

2) Provide independent review (IR) and challenge of different aspects of model (conceptual soundness, model performance etc.) across different model types (capital, impairment, liquidity, stress testing etc.) to a high degree of depth, as required by and detailed in the Bank's policies and standards. This role will be part of Group Risk IVU team.

3) Provide input to/support the governance and reporting processes related to model risk management.

Key Accountabilities :

1. Independent review and challenge

a. Work on independent review of diversified set of wholesale models - IFRS9, Capital, Liquidity, Stress Testing, etc. or Anti Money Laundering models

b. Perform technical analyses, data analyses, benchmarking, build challenger models (if needed) to support the validation review and challenge process

c. Must be able to challenge others and be open to challenge. Should seek direction on which issues are material but have own views on this also.

d. Produce high quality model validation reports, with a particular focus on noting limitations, weaknesses and assumptions

e. Self-study of developments in modelling and validation techniques;

f. Should have wholesale portfolio knowledge

Person Specification :

Essential :

- Strong analytical skills with experience in developing, validating and risk management of models

- Significant experience of coding in 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.

- Advanced understanding of the quantitative techniques used in developing and validating PD, LGD, EAD, Machine Learning, VAR, Low Default Portfolio modelling etc. .

- An ability to identify and analyse appropriate external data sources for model development or validation.

Preferred :

- Good understanding of banking environment and wholesale portfolios.

- Familiarity with FRB/PRA regulations and IFRS9 accounting standards.

- Ability to work in a high performing team, and the ability to work and liaise with others in a diverse team.

Education :

- Masters in Statistics, Mathematics, Finance, Economics, Operational Research field, Engineer, MBA

Experience :

- Should have relevant experience in analytical industry. Hands-on experience in the use of statistical packages, such as SAS, R, Python. Expert user of Microsoft Excel and other Microsoft Office tools.

- Experience developing or validating the latest machine learning models (e.g. Random Forests, Gradient Boosted Machines and Deep Neural Networks etc.) in a financial services company.

- Preferred - Experience in a modeller/validator role in the Wholesale industry

- Beyond risk management, knowledge in financial projection, capital management and treasury.