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1 день назад

Risk Analytics Model Development

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Risk Analytics Model Development: Developing and validating credit risk models including PD/LGD/EAD and ICAAP, provisioning, and stress testing with an accent on regulatory compliance and model governance. Focus on building validation frameworks, automating processes with SAS/R/Python, and collaborating with risk, compliance, and audit teams.

Location: Onsite in Gurugram, India

Company

hirify.global is a fast-growing bank focused on empowering entrepreneurs through data-driven financial solutions and innovative credit risk analytics.

What you will do

  • Lead development and execution of the model validation framework for credit risk models (PD/LGD/EAD/IFRS9).
  • Validate internal and vendor credit risk models both qualitatively and quantitatively on a regular basis.
  • Build and maintain model validation governance in line with regulatory requirements.
  • Collaborate with model development, risk, compliance, auditors, and third parties for validation and stress testing initiatives.
  • Enhance models and automate validation processes using SAS, R, and Python coding.
  • Document and communicate model results and validation findings to stakeholders and regulatory bodies.

Requirements

  • Must be located in Gurugram, India and able to work onsite.
  • 2-5 years experience in credit risk modeling or quantitative/data science roles in financial institutions or consulting.
  • Proficiency in SAS, R, Python, and advanced statistical techniques.
  • Experience with credit risk models (PD/LGD/EAD), IFRS9 provisioning, and stress testing.
  • Strong analytical, communication, and problem-solving skills.
  • Master’s degree in quantitative fields preferred; FRM/CFA certification is a plus.

Culture & Benefits

  • Inclusive and diverse workplace encouraging professional growth.
  • Supportive environment for entrepreneurial and data-driven approaches.
  • Focus on employee empowerment and career development.

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