Evalueserve - Senior/Lead Analyst/Manager - Market Risk - Model Validation

Elevate Your Impact Through Innovation and Learning

Evalueserve is a leading global company that develops innovative and sustainable solutions for a wide range of clients, including more than 30% of the Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, domain-specific AI solutions, and deep subject matter expertise to elevate our clients' strategic decision-making and business impact. Our clients include Amazon, Deutsche Bank, Johnson & Johnson, McDonald's, Microsoft, Morgan Stanley, Nestl, Novo Nordisk, and Procter & Gamble.

We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as the Middle East and the rest of Asia-Pacific.

Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.

Important responsibilities in this role will include:

- Performing 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 parameters

- Develop and code challenger models for benchmarking and for validation of high-risk models

- 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

Skills we're looking for:

- 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 C++, Python, R, 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 process and analytical results suitable for audiences of all technical levels

- Strong analytical and interpersonal skills

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To Know More:

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