Indian Institute of Quantitative Finance
Indian Institute of Quantitative Finance
Center of Finance Excellence - Quantitative Finance and Risk Management
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Manager - Risk and Quantitative Analysis
(Job ID : MRQA2017051)


Applications are invited for the positions of "Manager- Risk and Quantitative Analysis" in Mumbai.



Job Summary :
  • Manager- Risk and Quantitative Analysis reporting directly to the Head – Risk & Quantitative Analysis.


    Job Description:
  • Applying quantitative and statistical techniques to real financial data and live portfolios to aid portfolio managers’ real time decision making.
  • Assisting investment teams to create portfolios that are consistent with specified risk and performance objectives.
  • Prepare materials for and participate in meetings between RQA and portfolio managers to discuss risk and performance of portfolios.
  • Work with other RQA team members to conduct quantitative research on global and local investment markets and impact on portfolios.
  • Develop proprietary techniques for risk and performance measurement and collaborate with portfolio managers to implement them.
  • Help portfolio managers by assisting with quantitative techniques for portfolio construction and alpha generation.
  • Assist in creating investment risk analyses and reports for portfolio managers and senior management of RQA.


    Competencies & Personality Traits:
  • Strong understanding of multi factor risk modeling techniques.
  • Knowledge of programming languages or statistical tools, such as Excel VBA, S-Plus, R, SAS or Matlab, and/or familiarity with financial data tools (such as, Bloomberg).
  • Good understanding of capital markets, industry/market knowledge and competitive landscape.
  • Self-motivated and capable of working with minimal supervision on multiple projects while adhering to timelines and producing quality work.


    Qualifications and Preferred Experience:
  • Degree in analytical, financial and/or technical major (finance, applied maths, statistics, engineering, computer science)
  • Strong analytical, quantitative and computational skills.
  • Solid communication and presentation skills (verbal and written). The candidate must demonstrate the ability to explain analytical or quantitative concepts in practical and simple terms.
  • Finance background.
  • 3 + years with specific experience on risk modeling techniques.





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