Data Driven Quantitative Researcher

5 days ago

Mumbai, Maharashtra, India beBeeMathematical Full time
Quantitative Researcher - Modelling

As a Quantitative Modeler within the research team, you will play a pivotal role in shaping our firm's future and contribute to the development of alternative benchmarking models.

This role offers the chance to make a significant impact on our team by providing independent assessments of booking models and developing mathematical models for regulatory calculations. You'll have the opportunity to leverage your experience in designing valuation applications, data pipelines and analytics to remediate model limitations.

Job Responsibilities:

  • Define the architecture for a state-of-the-art model calibration and independent valuation application that is modular, scalable and robust
  • Integrate and develop mathematical models for the calculation of pricing adjustments, model limitation provisions, model parameter uncertainty reserves and other regulatory calculations
  • Drive initiatives for increased automation and digitization across the model space, including inventories of models, products, limitations and adjustments
  • Design and implement data pipelines for the ingestion, processing and storage of independent datasets used for model calibration and build analytics to better manage model risk appetite
  • Optimize the application for high performance utilizing distributed computing, cloud-based solutions, or GPU acceleration where possible

Required Skills and Qualifications:

  • You demonstrate quantitative and problem-solving skills as well as research skills
  • You demonstrate proficiency in software design patterns, code design and programming skills, with primary focus on Python and C++;
  • You have practical experience with code performance optimization, debugging and reverse engineering
  • You understand advanced mathematics arising in financial modelling, such as probability theory, stochastic calculus, statistics etc.
  • You have hands-on experience with data analytics, including working with large data sets and tools for data analysis and visualization.

Preferred Skills and Qualifications:

  • Advanced degree (PhD, MSc or equivalent) in Computer Science, Engineering, Mathematics, Physics, etc.
  • Markets experience and familiarity with general trading concepts and terminology
  • Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic process, partial differential equations and numerical analysis

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