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Job Description

We are seeking a detail-oriented and analytical Credit Risk Analyst to join our team. The ideal candidate will specialize in credit risk modeling, particularly in Expected Credit Loss (ECL) under CECL/IFRS 9, and the development and validation of PD (Probability of Default) and LGD (Loss Given Default) models. This role is critical in driving business growth, optimizing risk through analytical solutions, and ensuring compliance with regulatory standards.

Roles & Responsibilities:

  • Credit Risk Assessment & Modelling: Use statistical techniques to design advanced analytical scorecards for customer acquisition and lifecycle management. Analyze financial data and borrower behavior to assess creditworthiness.
  • Risk Analytics: Focus on Ind AS, ECL, BASEL, and IFRS9 Modeling. Develop, validate, and implement credit risk models for ECL and PD/LGD estimation.
  • Data Analysis: Compile and analyze macroeconomic and borrower-specific data for model inputs. Conduct portfolio analysis and deep dives on various segments and cohorts.
  • Machine Learning: Use Machine Learning algorithms for advanced analytics and data augmentation through external data providers.
  • Cross-functional Collaboration: Collaborate with risk, credit, finance, and data teams to align risk models with business needs and provide insights to optimize credit decisions.
  • Implementation & Monitoring: Work with business users to implement and monitor analytical solutions via an IT platform.

Skills Required:

  • Strong understanding of CECL/IFRS 9 frameworks and credit risk metrics.
  • Proficiency in statistical software such as SAS, R, or Python.
  • Experience in designing advanced analytical scorecards and using Machine Learning algorithms for analytics.
  • Knowledge of Expected Credit Loss (ECL), PD (Probability of Default), and LGD (Loss Given Default) model development and validation.
  • Excellent analytical, problem-solving, and communication skills.

QUALIFICATION:

  • Bachelor's or Master's degree in Finance, Economics, Statistics, or a related field from a premium institute.

More Info

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Open to candidates from:
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About Company

Skillventory is a leading name among top recruitment consultants having clients PAN India. Started in 2008, we feel delighted to state that we helped in shaping the careers of more than 20000 job seekers. We are a full spectrum Manpower Consultancy Firm, fulfilling manpower requirements of businesses by offering the wide range of services from Executive Search, Recruitment, Specialists-on-Contract, HR Automation, Consulting, Outsourcing, and Training. We are easily accessible, reachable and serving clients across India effectively and efficiently, as we are located in 6 major locations of the country, with Workstations in Indore , Mumbai , Ahmedabad ,Bangalore , New Delhi and Pune The other evidence of our best services is that we work as RPO (Recruitment Process Outsourcing) firm, where clients and companies transfer their recruitment worries on us. From beginning to end, i.e., right from sourcing the right candidate, interview, offer, acceptance, till his final joining, we handle recruitment process smoothly on behalf of the company. Skillventory is a preferred recruitment partner for multinational and pioneered Indian companies because of its trustworthiness, commitment, dedication, and capabilities. Our versatile, skilled and talented employees are generating best employment opportunities for professionals ranging from front line to senior positions. Our domain-specialist teams consist of 100+ expert consultants who are capable enough to provide customized and innovative HR consultancy services to more than 10+ industry practices namely Investment Banking & Firm, Consulting, Manufacturing, Banking & Financial Services, Insurance, Retail, Healthcare, Pharma, IT/ITES, E-Commerce and much more. Our strength lies in data analytics hiring, audit related recruitment, housing finance hiring, payment banking recruitment etc. Our work principles are based on the concept of placing Right Person at the Right Job on Time.

Job ID: 123401247