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Risk Modeling & Analytics Specialist

4.00 to 7.00 Years   Mumbai City   10 Oct, 2022
UBS Securities India Private Limited
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaFinance / Accounts / Tax
EmploymentTypeFull-time

Job Description

    Are you an expert in analytics Are you an innovative thinker who is interested in how models work and what their limitations are Are you an engaged and motivated personality For our Firmwide and Operational Risk models validation team we re looking for a quantitative analyst who can carry out project-based independent model assessments in line with the UBS model governance policy and regulatory requirements, notably: assess the models conceptual soundness and methodology check appropriateness of input data, the model assumptions and parameters, the accuracy of the model calibration, as well as of qualitative or expert adjustments review outcome, impact, and develop benchmark approaches assess model risk, perform model robustness analysis, and identify and evaluate model limitations document the assessment to required standards interact and discuss with stakeholders (model developers as well as senior model owner and model governance bodies)Your Career ComebackWe are open to applications from career returners. Find out more about our program on ubs.com/careercomeback .Your teamYou ll be working in the Model Risk Management & Control team in Mumbai, Pune, or Hyderabad. Our model validation team is responsible for the independent review and challenge of Firmwide and Operational risk models used within UBS. The model universe covers stress testing (CCAR/Finma LPA/ ECB ICAAP) and economic capital models (Finma, ECB Economic view). Different risk types in scope are (but is not limited to) Funding Cost Risk, Funding Valuation Adjustment, Business Risk, Pension Risk, modelling of LRD/RWA under Stress, and Operational Risk., an advanced degree in finance, financial mathematics, statistics, or a related quantitative field. proven experience in risk modeling or model validation. the ability to apply quantitative techniques to solve practical problems. an understanding of risk models, a bank s balance sheet, and the regulatory landscape. very good communication skills and the ability to explain technical topics clearly and intuitively, both written and orally proficient in statistical modeling software (knowledge of R and Python programming is preferred) co-operative and team-orientated, while being able to motivate and organize yourself and complete tasks independently to high quality standards fluent in English, oral and written

Keyskills :
acquisitionbusiness strategyclusteringdirect maildirectionhigh quality standardsrisk modelsbalance sheet

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