Lead Analyst -mrm Job in Evalueserve

Lead Analyst -mrm

Evalueserve 4+ weeks ago

Gurgaon, Haryana
Not Disclosed
Full-time

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Job Summary Elevate Your Impact Through Innovation and Learning About Evalueserve Evalueserve is a global leader in providing innovative and sustainable solutions to a wide range of clients, including over 30% of Fortune 500 companies. With operations in more than 45 countries, we utilize advanced technology, artificial intelligence, and expert knowledge to enhance our clients' business impact and decision-making. Global Presence: 4,500+ professionals across India, China, Chile, Romania, the US, Canada, and emerging markets. Work Culture: Recognized as a Great Place to Work in multiple countries, we prioritize work-life balance, diversity, and equal opportunities. About Risk and Quant Solutions (RQS) The RQS team at Evalueserve addresses major financial needs using technology-driven solutions. Team members tackle banking challenges and improve decision-making with award-winning strategies. What You Will Do Modeling: Structure and price various financial products in Murex (interest rate, equity, FX, commodities). Management: Oversee end-to-end modeling, including data configuration and testing. Validation: Review and validate derivative pricing and market risk models. Specification: Design and book products and trades in Murex. Research: Conduct quantitative research, sensitivity testing, and profit & loss analysis. Scenario Generation: Handle stress testing and risk report generation. Knowledge Application: Utilize yield curve methodologies and understand trading environments. Development: Implement benchmark models using C++, Python, R, etc. Testing: Conduct independent model testing and checks. Documentation: Prepare clear documentation reports. Leadership: Mentor a team of analysts and support model validation. What We Are Looking For Education: Master s or bachelor s degree in a quantitative field (e.g., Econometrics, Statistics, Financial Mathematics). Knowledge: Understanding of stochastic calculus and its application in risk modeling. Creativity: Ability to develop innovative models. Programming Skills: Proficiency in Python, R, Matlab; knowledge of C++ is beneficial. Communication: Strong skills in presenting and documenting analytical results. Interpersonal Skills: Strong analytical abilities and teamwork. Disclaimer: This job description provides a general overview of tasks but may be modified as needed.
Qualification :
Master's or bachelors degree in applied quantitative discipline (e.g. Econometrics, Statistics, Financial Mathematics, Physics or Engineering)

Experience Required :

5 to 8 Years

Vacancy :

2 - 4 Hires