FS-RISK CONSULTING-FSRM-QBB-SENIOR

3 - 8 years

14 - 18 Lacs

Posted:5 days ago| Platform: Naukri logo

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Work Mode

Work from Office

Job Type

Full Time

Job Description

 

Key

  • Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products
  • 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 clients 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
  • Complete, end-to-end understanding of credit risk model development validation and/or implementation for the banking book portfolio.
  • Knowledge of Credit Risk and Risk Analytics techniques is desirable.
  • Should have hands on experience in data preparation, manipulation and consolidation.
  • Strong background in regulatory requirements such as IRB, IFRS 9, CCAR, CECL, PPNR, Stress Testing/DFAST within model development/validation domain
  • Understanding of PD, LGD, EAD modelling with expertise in PD or LGD or EAD modelling
  • Experience in AI/ML on Credit Risk, Climate Risk, Fair Lending, Credit Risk Model Monitoring, Commercial Lending, Fair Lending, Treasury Model, Treasury ALM, AML / Fraud Model will be preferred
  • Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document.
  • Should be able to take initiative and work independently with minimal supervision, if required
  • Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression.
  • Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel

Good-to-have

  • Certifications such as FRM, CFA, PRM, SCR, RAI
  • Proficiency in Java/C++
  • Experience in Data/Business Intelligence (BI) Reporting
  • Good to have knowledge in Machine Learning models and its applications.
  • Willingness to travel to meet client needs
  • Previous project management experience

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London

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