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Assistant Manager - Credit Risk and Analytics - Mumbai

Assistant Manager - Credit Risk and Analytics - Mumbai

bdo india
Fresher
Not Disclosed
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Job Description

Job Description

Assistant Manager - Credit Risk and Analytics

(IFRS9, Provisions, ECL, ICAAP, Credit Loss, Credit Risk, Analytics, Python, SQL, Stress Testing)

Essentials:

  • Candidate with a right mindset to grow with the firm. We need candidates who can align themselves with the growth trajectory of the firm.
  • Ability of multi-task, challenge the status-quo, quick learners
  • ICAAP Experience is preferred

Role:

  • Independently lead and manage consulting engagements with leading banks, financial institutions, NBFCs, insurance companies and corporates covering areas such as ICAAP reviews, IFRS 9 model development, ECL computation, enhancing the approach to ECL and provisions along with other credit risk areas
  • Demonstrate knowledge to banking, NBFC, corporate and insurance companies on various loan product and their characteristics including wholesale loans, auto loans, personal loans, mortgage finance, education loans, etc.
  • Demonstrate knowledge of concepts related to default and recovery rate modelling including roll rate analysis, periodic default rates, statistical methods including regression models, Markov chains, etc.
  • Lead and drive day-to-day execution of client projects.
  • Lead hiring and mentoring initiatives to expand and upskill execution and delivery team for engagements
  • Design and monitor detailed project plans for assigned engagements
  • Directly report and provide detailed updates to business unit leader for all assigned engagements on an on-going basis

Requirements:

  • Advanced Degree: Master's/PhD in Finance, Economics, Statistics, Data Science, or similar.
  • Certifications: FRM, CFA, PRM, or equivalent.
  • Credit Risk Modelling: Experience with PD, LGD, EAD, IFRS 9, ECL, and stress testing.
  • Model Development/Validation: End-to-end experience with model development/validation lifecycle.
  • Technical Skills: Proficiency in SQL, SAS, Python, R.
  • Data Management: Experience handling large datasets for modelling.
  • Consulting/Project Management: Stakeholder and team management.
  • Communication Skills: Strong report writing and presentation skills.
  • Leadership: Ability to lead teams, provide technical guidance, and mentor.

Interested candidates may mail in their CVs to [Confidential Information]

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