We are looking for a Quantitative Risk Specialist in MRMC Validation team in Mumbai location to:
conduct an independent review and validate Firmwide Economic Capital and Stress Testing models which includes:-
assessing the model's conceptual soundness and methodology
checking appropriateness of input data, model assumptions and parameters, calibration accuracy etc.
reviewing outcome, impact, performing benchmark analyses
review and implement model codes in Python and R
collaborate with stakeholders globally to understand and challenge model and underlying risks
write comprehensive validation reports and highlight issues
support ongoing review of model performance and changes to ensure models remain fit for purpose
Your team
You’ll be working in the Model Risk Management & Control team responsible for the independent validation of the models used across different areas within UBS e.g. Economic capital,
Stress Testing covering Market Risk, Funding Risk, Pension Risk, Operational Risk etc. Responsibility is to assess that risk due to design, data, implementation and use of model is accurately managed and mitigated. The role is global and involves working with broad group of stakeholders.
Your expertise
you’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.
MA / MSc degree in Statistics, Mathematics, or Quantitative Economics
solid coding skills in R, Python, or similar
excellent analytical skills
knowledge of fi nancial markets and products, solid interest in the fi nancial services industry,preferably in risk management. Prior experience in model development or validation is a plus
curiosity and a thirst for innovation
You are:
fluent in English, oral and written
a team