Quantitative Research Specialist

4 days ago

Bengaluru, Karnataka, India beBeeRiskAnalyst Full time
Job Overview:

The Asset and Wealth Management Risk Team is seeking a highly skilled quantitative research associate to join its dynamic and growing team. As a key member of the team, you will partner with the business to provide comprehensive risk management views.

  • Develop and maintain risk measurement methodologies, including sensitivity, stress testing, value-at-risk, and factor modeling.
  • Manage the Newton system, used by both risk and front office stakeholders.
Key Responsibilities:
  • Contribute to research and enhancement of risk methodology for market, credit, and liquidity risk.
  • Collaborate with peers and stakeholders to identify opportunities for data science to add value.
  • Apply knowledge of computer science, statistics, mathematics, and data science to provide insights into security and portfolio risk analytics.
  • Assist with continuous improvements in machine learning and statistical techniques for data and analytics validation.
  • Design and deliver flexible, scalable solutions using firm-approved tools.
  • Prepare model documentation for model risk governance and review group validation, monitoring, and backtesting.
  • Contribute to the analysis of large data sets and assist with their onboarding using best practice data models and big data platforms.
Required Qualifications:
  • 2+ years of experience in quantitative analysis/research, data science, market/credit risk management, or a front office role (or academic equivalent).
  • Detail-oriented with strong multitasking and independent work abilities.
  • Excellent communication skills.
  • Strong understanding of statistics applied AI/ML techniques and practical problem-solving mindset.
  • Practical experience in financial markets within risk management or front office roles.
Preferred Qualifications:
  • Knowledge of asset pricing, VaR back testing techniques, and model performance testing.
  • Experience in modular programming with SQL, Python, ML, AWS Sagemaker, and TensorFlow.
  • Degree in a quantitative or technology field (economics, maths/statistics, engineering, computer science or equivalent).

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