Quantitative Analyst

1 month ago

Gurgaon, Haryana, India Evalueserve India Full time
About Evalueserve

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies.

We excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making.

Our global network spans over 45 countries, including India, China, Chile, Romania, the US, and Canada, with a team of 4,500+ talented professionals.

Job Summary

We are seeking a highly skilled Quantitative Analyst to join our Risk and Quant Solutions (RQS) team. As a key member of our team, you will be responsible for addressing some of the world's largest financial needs with technology-proven solutions.

You will work on solving banking challenges and improving decision-making with award-winning solutions. Your expertise will be essential in creating approach notes and testing plans for model validation, deciding on appropriate methodologies for benchmarking and challenger models, and developing and coding challenger models for benchmarking and validation.

Key Responsibilities
  • Perform various initial and ongoing model validation tasks independently or in collaboration with senior quants in New York and London.
  • Conduct qualitative reviews of models, examining documentation for detailed descriptions of theory, references to base models, product descriptions, mathematical, and technical parameters.
  • Develop and code challenger models for benchmarking and validation of high-risk models.
  • Review model implementation into production code and perform additional testing.
  • Perform direct and indirect validation of calibration in models.
  • Conduct model risk analysis, stress testing, and other tests under different scenarios.
  • Draft validation reports with executive summaries, including approval/disapproval, restrictions on model usage, summaries of findings, and remediation plans.
Requirements
  • A Master's or Bachelor's degree in an applied quantitative discipline (e.g., Econometrics, Statistics, Financial Mathematics, Physics, or Engineering).
  • Sound knowledge of stochastic calculus, statistical, and econometric concepts, and their application in risk model development.
  • Ability to think out of the box and work on models not encountered before.
  • Programming skills are essential for the role, with strong knowledge in one or more of the following programming languages: C++, Python, R, or Matlab.
  • Experience with QuantLib and other open-source quant libraries is a plus.
  • Ability to articulate ideas and make recommendations.
  • Proficiency in developing and giving presentations.
  • Strong oral and written communication skills, including the ability to document and present model development processes and analytical results suitable for audiences of all technical levels.
  • Strong analytical and interpersonal skills.

Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Want to learn more about our culture and what it's like to work with us?

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