Quantitative Modeling and Risk Management Position

2 days ago

Kanpur, Uttar Pradesh, India beBeeRiskManagement Full time ₹ 60,00,000 - ₹ 1,00,00,000
Quantitative Modeling and Risk Management Opportunity

We are seeking a highly skilled and motivated individual to join our team as a Quantitative Modeling and Risk Management Intern. As an intern, you will work closely with our experienced team to develop and implement advanced actuarial models, analyze complex data, and provide insightful recommendations to inform business decisions.

Main Responsibilities:

  • Collaborate with senior analysts to design and implement quantitative models for risk management, focusing on asset liability management, interest rate risk in banking book, behavioral modeling, Pillar 1 risks (Market Risk, Credit Risk, Operational Risk), Pillar 2 Risks (ICAAP), fund transfer pricing, and profitability analysis.
  • Develop and validate Python and Excel models to assess risk and assist with client user acceptance testing.
  • Create end-to-end functionalities for modeling macro-economic factors and market prices, including interest rates, credit spreads, FX, commodities, and volatility.
  • Validate cash flow, valuation, and sensitivity models using Excel/Python for banking and derivative products.
  • Design and implement project execution and product collateral development.
  • Adhere to development standards and protocols mandated by the product organization.

Requirements:

  • 0-2 years of experience in quantitative modeling and risk management.
  • Graduate degree in a relevant field or pursuing graduation.
  • Proficiency in Python, advanced Excel, and PowerPoint.
  • Ability to write and speak fluently in English.

Selection Process:

  • Interviews with at least 2-3 rounds.
  • Final discussion on career and compensation post selection.

Preparation Required:

  • Demonstrate knowledge of Banking risks and quantification.
  • Demonstrate knowledge of Basel accordson Banking risk management.
  • Demonstrate proficiency in financial instrument valuation and risk assessment.
  • Demonstrate proficiency in statistical, econometrics, and time series analysis.
  • Demonstrate proficiency in use of back-end server-side languages like Python and database like MSSQL and PostgreSQL.

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