Senior Analyst/Associate Consultant, Model Monitoring and Implementation is a key member of Model Strategy & Data Analytics team and will have responsibility for acting as an individual contributor role in the model monitoring and Implementation for PPNR, Credit Risk, Operational Risk and Market Risk models. The role will cover several aspects of model lifecycle including monitoring, recalibration, and Implementation. The position will also include the developing/maintaining monitoring tools in SAS for CCAR, Basel, CECL.
Job title: Senior Analyst/Associate Consultant
Location: Bangalore
Experience: 2-5 years of relevant experience
The key responsibilities of the role include:
Monitor/Recalibrate/Implementation of CCAR models (PD/EAD/LGD) , CECL models (PD/EAD/LGD), Basel models (PD/EAD/LGD), operational risk analytics models ( capital models, AMA model) and PPNR models
Evaluates existing monitoring tool in relation to corporate objectives and industry leading practices. Assesses development needs and manages process to achieve desired future state
Provides technical/theoretical expertise to resolve issues and enhance overall risk framework and works with model owners to update model monitoring tool
Ensure monitoring process following different regulations (CCAR, CECL, BASEL, IFRS9)
Conducts analysis, independently ensuring accuracy and completeness.
Responsible for direct interaction with different committees and/or senior management.
Skills
Strong BASEL, CCAR, DFAST, CECL, SR-11/7 understanding. Strong regulatory understanding
2+ years of hands on monitoring/validation/model building experience
Strong conceptual and technical knowledge of risk concepts and quantitative modelling techniques including familiarity with statistical concepts used in stress testing.
Strong in quantitative skills experience in model validation a plus
Experience in R, SAS, Matlab, advanced Excel techniques and VBA programming. SAS is preferred
Good Multi-tasking skills. Ability to quickly assimilate & comprehend information and deliver within strict deadlines
Strong organizational and interpersonal skills
Excellent verbal and written communication skills (English)
Experience of working in a multi-cultural and global environment
Related Industry qualification (e.g., CFA, FRM) a plus
Qualifications:
Master in Statistics/ Economics/Mathematics/advanced degree in quant area
Or B.tech. From tier 1 college with MBA in related field
Keyskills: credit risk market risk data analytics risk analytics operational risk
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