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. 

Advisory Services Financial Services Office – Financial Services Risk Management (FSRM) – Credit Risk – Senior Consultant


Description
EY's Financial Services Office (FSO) 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. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. 


Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities.


Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. 

Key Responsibilities 

  • Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products

  • Lead components of large scale client engagements and/or smaller client engagements while constantly delivering quality client services

  • Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business 

  • Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes

  • Play an active role in mentoring junior consultants within the organization 

  • Required to review, analyse and concur with tasks completed by junior staff

  • Flexibility to work across projects involving model audits, validation and development activities


    • Qualifications, Certifications and Education


    Must-have:

  • Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 3 years of related work experience

  • End-to-end understanding of model development/validation of AI /ML models

  • Ability to assess bias, fairness, explainability and regulatory compliance in AI/ML models

  • Strong understanding of AI/ML model risk management, specifically performance testing and ongoing monitoring of AI/ML models

  • Strong understanding of AI/ML algorithm (and its mathematical intuition) and ability to clearly explain its advantage over the traditional Statistical Models

  • Understanding of existing regulatory guidelines around AI/Machine Learning Model Risk Management

  • Knowledge of Credit Risk and Risk Analytics techniques is desirable.

  • Experience in Credit Risk Modelling within model development/validation for IRB/IFRS 9/Stress Testing/CCAR/CECL/PPNR regulations is preferred

  • Should have hands on experience in data preparation, manipulation and consolidation.

  • Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document.

  • Strong background in statistics and econometrics

  • Should be able to take initiative and work independently with minimal supervision, if required

  • Strong technical skills, highly proficient in Advanced Python (Pandas, Scikit Learn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel

    • Good-to-have:

  • Certifications such as FRM, CFA, PRM, SCR, RAI

  • Credit Risk/Regulatory Model Development (IRB, IFRS9, CCAR, CECL, DFAST etc.)

  • Proficiency in Java/C++

  • Experience in Data/Business Intelligence (BI) Reporting

  • Willingness to travel to meet client needs

  • Previous project management experience

    • EY | Building a better working world 

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