Risk Consulting - Senior - Credit Risk Quant

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Job Description

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Risk Consulting – MENA FS Risk – Credit Risk - Senior Consultant

Divisional Overview

EY GDS Risk Consulting is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge.

EY's MENA Financial Services Risk Management (FSRM) team, part of the EY GDS Risk Consulting Practice, delivers tailored risk solutions to help clients identify, assess, manage, and monitor a range of financial and regulatory risks. These include market (trading book), credit (banking book), operational, and regulatory risks arising from trading, asset-liability management, capital management, and broader capital markets activities. The division is ideal for collaborative individuals who have strong ethics and attention to detail.

Within FSRM, the Credit Risk (CR) team focuses on supporting clients—ranging from large domestic banks to global financial institutions—in implementing strategic, functional, and regulatory transformations across credit risk management within their banking book portfolios.

You will work within different sized, multi-disciplinary teams and play a key role in ensuring high quality outputs and service to our clients. The role involves developing knowledge and implementing new solutions to meet the ever-changing needs of our clients. We value intellectual curiosity and a passion for promoting solutions across organizational boundaries.

Key Responsibilities

• Demonstrate deep technical expertise and industry knowledge, particularly in financial products with a focus on lending solutions.
• Design, assessment, and benchmarking of financial risk management policies, frameworks, methodologies covering a range of risk domains such as credit risk, market risk, operational risk, liquidity risk, climate risk, and integrated risk topics viz., capital adequacy and stress testing measurement methodologies in financial institutions (FI)
• Monitor project progress, manage risks, and effectively communicate status, issues, and priorities to key stakeholders to ensure successful outcomes.
• Actively mentor and support the development of junior consultants within the organization.
• Review, analyze, and validate the work completed by junior team members to ensure accuracy and quality
• Adapt to projects involving model audits, validation, and development, demonstrating flexibility and domain knowledge
  
  

Qualifications, Certifications, And Education

Must-have:

• Graduate or Master's degree in a technical or quantitative discipline such as Engineering, Mathematics, Statistics, Physics or equivalent with a minimum of 3 years of relevant experience
• Solid foundation in statistics and econometrics.
• In-depth knowledge of Credit risk model development, validation, audit and/or implementation of the banking book portfolio
• Advanced technical skills, with proficiency in Python, SAS, SQL, R, and Excel.
• Hands-on experience in data preparation, manipulation, and consolidation.
• Strong documentation skills, with the ability to quickly grasp complex concepts and present them clearly in documents or presentations.
• Strong multi-tasking skills with demonstrated ability to manage expectations and deliver high quality results under tight deadlines and minimal supervision.
  
  

Preferred:

• Professional certifications such as FRM, CFA, PRM, or SCR.
• Knowledge of regulatory modeling (BASEL, CCAR, IFRS9) is preferred
• Exposure to regulatory stress testing processes around credit risk & ICAAP
• Exposure to Interest Rate Risk in Banking Book (IRRBB)
• Experience in data/business intelligence (BI) reporting.
• Familiarity with machine learning models and their practical applications.
• Willingness to travel for client engagements
  
  

What Working At EY Offers

As a global leader in assurance, tax, transaction, and consulting services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better.

At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that's right for you.
  
  

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
Skills Required
data preparation , Validation, Audit, Sas, Excel, Python, Sql