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Credit Exposure Model Validation Quantitative Analyst

4.00 to 9.00 Years   Hyderabad   13 Mar, 2023
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

    check appropriateness of assumptions, parameters, model calibrations, qualitative or expert adjustments, etc. review outcome, impact, or benchmark analyses and develop a benchmark model (as appropriate) assess model risk, including model robustness analysis, identification of limitations, and their assessment document the assessment to the required standards collaborate with model developers and communicate with key stakeholders across the institutionYour teamyou will be working within the Credit Exposure Modelling team of Model Risk Management & Controls (MRMC). The team is responsible for the validation and the regular confirmation of all Pillar 1 / Pillar 2 models used for exposure calculation of IB portfolio. We carry out independent model assessments in line with the internal governance of models policy and regulatory requirements., Strong quantitative analytic and modelling skills with Master s or PhD degree in a quantitative field (e.g. econometrics, financial economics, financial mathematics, statistics, engineering, physics, mathematics) and 4+ years of experience in market risk factor modelling or validation. Experience of building / prototyping stochastic models of moderate to high complexity is essential for a successful candidate. Previous experience with collateralized portfolios, securities backed lending, SFT is a plus. Good knowledge of Probability, statistics, monte-carlo simulations and partial differential equations is a requirement. Good knowledge of financial products and their associated risk proven project management skills, taking end-to-end responsibility regarding quality and deadlines as well as timely escalating of issues showing high standards when it comes to report writing in a structured and transparent way strong communication skills and the ability to explain technical topics clearly and intuitively good computing and programming (coding) skills and experience utilizing programming languages such as R or Python

Keyskills :
analyticscustomer relationshippricingadvertisingbankingmarket riskrisk management

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