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BDO India

Financial Risk Analyst

BDO India

Mumbai, Maharashtra, India · Tam zamanlı

Başvuran ilk kişi siz olun

Deneyim
2-3 yıl
Maaş
Açılışlar
1
Yayınlandı
3 saat önce
Çalışma modu
Ofiste
Eğitim
Master's or Bachelor's in quantitative disciplines
Sürdürmek
Başvuru yapılması gerekmektedir.

Çalışacağınız yer

İş tanımı

Overview

BDO India is looking for a meticulous and analytical individual to join as a Financial Risk Analyst in Mumbai. The role involves supporting model development, validation, and analytics within the capital markets domain. Responsibilities include building derivatives pricing models, statistical and liquidity/treasury models, conducting data-driven analyses, and aiding risk management activities. Familiarity with machine learning and AI models is advantageous.

Key Responsibilities

  • Create and validate comprehensive models using advanced statistical methods and programming algorithms.
  • Perform model validation and back-testing to evaluate current models, identifying their strengths and potential weaknesses for enhancement.
  • Understand and contribute to Model Risk Management practices, maintain Model Inventory, and support Risk Control procedures.
  • Document model methodologies, inputs, and outputs thoroughly for audits and regulatory compliance.
  • Process, clean, and analyze extensive datasets to support assumptions and validation of models.
  • Develop efficient dashboards for tracking model performance and reporting outputs.
  • Conduct specialized analyses and reporting for valuation and analytics teams as required.
  • Support risk management efforts via statistical analysis and modeling of mortgage asset behavior.
  • Analyze hedge activities including interest rate risks associated with different financial instruments and assist in structuring hedge programs.
  • Perform scenario analysis and stress testing leveraging macroeconomic indicators.

Qualifications & Skills

  • A Master's or Bachelor's degree in statistics, econometrics, quantitative finance, or a related quantitative discipline.
  • Proficient in programming languages such as Python, R, SAS, or equivalents.
  • Experience handling large datasets and using data analysis tools.
  • Understanding of capital markets, mortgage assets, and risk management concepts is preferred.
  • Strong analytical capabilities, problem-solving aptitude, and communication proficiency.
  • 2 to 3 years of professional experience in consulting, investment banking, or asset management environments.

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