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