Quantitative Risk Modeling Specialist
1 week ago
Evalueserve is a global leader in delivering innovative and sustainable solutions to diverse clients, including over 30% of Fortune 500 companies. With presence in more than 45 countries across five continents, we leverage state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making.
As a Quantitative Risk Modeling Specialist, you will be part of our fast-growing Risk and Quant Solutions (RQS) team, addressing some of the world's largest financial needs with technology-proven solutions. You will solve banking challenges and improve decision making with award-winning solutions.
We offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.
Responsibilities- Perform various initial and/or ongoing model validation tasks independently or in collaboration with senior quants in New York and London – Create approach note and testing plan for validation of the assigned model; Decide upon appropriate methodology for benchmarking and challenger models.
- Conduct qualitative review of the model; examine documentation for detailed description of the theory, references to the base model, product description, mathematical and technical parameter.
- Develop and code challenger models for benchmarking and for validation of high-risk model.
- Review model implementation into the production code; Perform additional testing.
- Perform direct and indirect validation of calibration in the models.
- Conduct model risk analysis, stress testing and other tests under different scenarios.
- Draft a validation report with executive summary with approval/disapproval, restrictions on model usage; summary of findings and remediation plans.
- A master's or bachelor's degree in 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. Strong knowledge in one or more of the following programming languages Python, R, Matlab.
- Experience with QuantLib and other open source quant libraries is a plus.
- Working knowledge of C++ gained in the industry.
- 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 process and analytical results suitable for audiences of all technical levels.
- Strong analytical and interpersonal skills
We offer a competitive salary of approximately ₹12,50,000 per annum, along with benefits such as flexible work arrangements, professional growth opportunities, and a collaborative work environment.
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