Applications are invited from eligible candidates for the Internship Opportunity at Deloitte, Mumbai.
About Deloitte
Deloitte Touche Tohmatsu Limited, commonly referred to as Deloitte, is an Anglo-American multinational professional services network.
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Roles and Responsibilities
In our Financial Risk Advisory team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You’ll:
- Experience risk model development, validation or equivalent risk analytical role in a consulting firm, financial institution
- Good knowledge of Basel II requirements and capital calculation methodology for at least one of credit risk, market risk or operational risk
- Hands-on experience on risk management platforms such as SAS, Oracle OFSAA, Misys Fusion Risk, SunGard etc. with knowledge of the configuration of these systems
- Thorough understanding of financial instruments such as loans, bonds, swaps, options, deposits, T-bills, money market borrowings, exotics etc.
- Good understanding of quantitative techniques like Monte Carlo simulation / structured and unstructured statistical techniques/optimization routines
- Working knowledge of analytical techniques like clustering / multiple regression / logistic regression/discriminant analysis/ time series analysis etc.
- Experience of having supported the implementation of models in one or more of the following systems will be a strong advantage:
- Credit risk management system
- Market risk management system
- Operational risk management system
- Asset liability management system
- Fund transfer pricing system
- Cost allocation and profitability system
- Superior communication skills with stakeholders at all levels of the internal organization and clientele
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Qualifications
- MBA or equivalent Master’s degree in Finance, Statistics, Economics or Mathematics from premier institutes required.
- Graduates (B.Tech / B.E) with relevant experience can also be considered.
- Professional certifications like CFA and FRM would be highly desirable
- Quantitative training and strong problem-solving skills are necessary.
- Technology experience would be required in at least one statistical tool (SAS, R, MATLAB, etc.) and programming knowledge (C++, Java, etc.) would be desirable.
How to Apply?
- Interested applicants can apply for the internship through this link.
- For more details, click HERE.
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