Puneet Gupta Financial Analyst
4 Reviews

I have done Master and Bachelor in Statistics along with Actuarial Science and cleared 7 exams i.e. CT - 1,2, 3,4,5,6 and 7.

Currently working as Financial Analyst in the subsidiary of top credit bureau in India.
Role :
Development and computation of quarterly ECL provisioning for banks and NBFC's using PD, LGD, EAD models as per the guidelines of IFRS 9 and IAS 109.

Automation of ECL process and migration to R/Python which brings efficiency with reduction in process cost.

SWOT analysis of secured and unsecured portfolio's of banking clients.

Monitoring and Validation of Credit Risk Rating models deployed for domestic and foreign clients.

I am also working as a Tutor/Assignment solution provider on Chegg/Truework and Freelancing.

I have an expertise of providing in detail solution before deadline.

Subjects

  • Econometrics Beginner-Expert

  • Python Beginner-Expert

  • SQL Beginner-Expert

  • R (Programming) Beginner-Expert

  • Financial Management Beginner-Expert

  • Data Science Beginner-Expert

  • Derivatives (Financial) Beginner-Expert

  • Biostatistics Beginner-Expert

  • STATA Beginner-Expert

  • Actuarial Science Beginner-Expert

  • AP Statistics

  • Statistical Analysis Beginner-Expert

  • Probability Beginner-Expert

  • Regression Analysis Beginner-Expert

  • SPSS Statistics Beginner-Expert

  • Statistical Methods for Business Beginner-Expert

  • Statistical Data Analysis Beginner-Expert

  • Excel Advanced Beginner-Expert

  • AP Economics

  • Applied Probability and Statistics Beginner-Expert

Experience

  • Credit Risk Model Validator (Jan, 2023–Dec, 2023) at ERSTE GROUP
    - Supporting regular validation of Rating Corporate Model
    - Supporting regular validation of Rating retail SME Model
    - Supporting validation finding management with R
  • Analyst (Jun, 2020–Aug, 2022) at ICRA Analytics Limited
    Development and computation of quarterly ECL provisioning for banks and NBFC's using PD, LGD, EAD models as per the guidelines of IFRS 9 and IAS 109.

    Automation of ECL process and migration to R/Python which brings efficiency with reduction in process cost.

    SWOT analysis of secured and unsecured portfolio's of banking clients.

    Monitoring and Validation of Credit Risk Rating models deployed for domestic and foreign clients
  • Assistant Manager (May, 2018–Nov, 2019) at PNB housing finance ltd
    Expected Credit Loss (ECL) :
    Probability of default models (PD) - Multinomial Logistic regression, Random forest classification model, Survival models.
    Loss Given Default model (LGD)
    Exposure At Default model (EAD)
    Tools used - R/SPSS/Access/Excel.

    Credit Scorecard :
    Application Scorecard - Random forest and Logistic regression
    Collection Scorecard - Random forest and Logistic regression
    Tools used - R/SPSS/Access/Excel.

    Customer's sourcing Dashboards
    Tools - Tableau

    Customer Segmentation.
    Retention and Churn models.
    Quarterly Portfolio Analysis.
    Survival models based on the customer's sourcing period.
  • Q/A Subject matter expert (Mar, 2018–Present) at Chegg, India
    I am providing Statistics assignment solution.

Education

  • Financial Engineering (Jun, 2020–now) from World Quant University
  • Statistics (Jul, 2016–May, 2018) from University of Delhi
  • Actuarial Science (May, 2015–now) from Institute and faculty of actuaries

Fee details

    €23–53/hour (US$25.43–57.24/hour)

    Fees will vary based on the Assignment submission deadlines

4 Reviews
5 out of 5

User Photo December 17, 2020

Great tutor

Knows what he's doing, helped me study for an exam in a few hours and completed the sylly

User Photo December 13, 2020

Great teacher

Very knowledgeable and experienced teacher

User Photo March 27, 2020

Very Knowledgeable and Helpful

Helped in preparing for exams - simple explanations offered - good tutor

User Photo January 14, 2020

Great

Very helpful and I am glad he is good at statistics