PPNR- Model validationModel development

2 months ago

bangalore, India Careernet Technologies Pvt Ltd Full time
Overview: The PPNRModel Validation/Model Development role is crucial for ensuring theaccuracy and reliability of predictive models used in theprojection of preprovision net revenue (PPNR) for financialinstitutions. The individual in this role will be responsible fordeveloping and validating a variety of models that support PPNRestimation processes helping to drive datainformed decisionmakingand risk management strategies.KeyResponsibilities:
  • Develop andimplement statistical models to forecast PPNR components such asnet interest income fee income and operatingexpenses.
  • Evaluate model performance and assessthe appropriateness of model assumptions inputs andmethodologies.
  • Conduct thorough validation ofPPNR models in accordance with regulatory requirements and bestpractices.
  • Collaborate with stakeholders tounderstand business needs and ensure model outputs align withorganizational objectives.
  • Provide expertiseand guidance on model development validation and documentation tocrossfunctional teams.
  • Perform quantitativeanalysis to identify trends patterns and potential risks in PPNRdata.
  • Contribute to the enhancement of modelgovernance frameworks policies andprocedures.
  • Support model implementation andongoing monitoring activities including model performance trackingand reporting.
  • Stay abreast of industry trendsregulatory developments and emerging techniques in PPNR modelingand validation.
  • Participate in model riskcommittees and communicate validation findings to seniormanagement.
RequiredQualifications:
  • Masters or Ph.D. inStatistics Mathematics Economics Finance or a related quantitativefield.
  • 3 years of experience in quantitativemodeling statistical analysis and/or financial risk assessmentwithin the banking or financial servicesindustry.
  • Demonstrated proficiency inprogramming languages such as R Python or SAS for model developmentand validation.
  • Strong understanding offinancial products PPNR drivers and balance sheetdynamics.
  • Familiarity with regulatoryrequirements related to model risk management and validation (e.g.SR 117 CCAR DFAST).
  • Proven ability to applyadvanced statistical and econometric techniques to solve complexbusiness problems.
  • Experience with modelvalidation techniques including backtesting stress testing andsensitivity analysis.
  • Excellent written andverbal communication skills with the ability to articulatetechnical concepts to nontechnicalstakeholders.
  • Detailoriented approach with afocus on accuracy and quality in model development and validationprocesses.
  • Ability to work effectively in acollaborative crossfunctional environment and manage multiplepriorities concurrently.

modelvalidation,model development,revenueforecasting,sas,python

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