Risk Modeling & Analytics Specialist

Risk Modeling & Analytics Specialist


Your role

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 model’s 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 team

You’ll be working in the Model Risk Management & Control team in Airoli, Mumbai. 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.

Your expertise

• 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

To apply for this job please visit jobs.ubs.com.

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