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JPMorgan Chase & Co.
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686 JPMorgan Chase & Co. Jobs
MRGR Forecasting Models- Analyst/Associate
1-4 years
₹ 14.5 - 36L/yr (AmbitionBox estimate)
Bangalore / Bengaluru
1 vacancy
MRGR Forecasting Models- Analyst/Associate
JPMorgan Chase & Co.
posted 6d ago
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Flexible timing
Key skills for the job
Job Description
- Set standards for robust model development practices and enhance them as needed to meet evolving industry standards
- Evaluate adherence to development standards including soundness of model design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics
- Identify weaknesses, limitations, and emerging risks through independent testing, building of benchmark models, and ongoing monitoring activities
- Communicate risk assessments and findings to stakeholders, and document in high quality technical reports
- Assist the firm in maintaining (i) appropriateness of ongoing model usage, and (ii) the level of aggregate model risk within risk appetite
- A Ph.D. or Master s degree in a quantitative field such as Math, Physics, Engineering, Economics or Finance is required
- 1 - 4 years of experience in a quantitative or modeling role.
- Strong communication skills verbally and particularly in writing, with the ability to interface with other functional areas in the firm on model-related issues and write high quality technical reports
- Experience with large data sets is required
- Proficiency in Python, R, or equivalent
- Deep understanding of statistics / econometrics
- Prior experience in mortgage or CRE risk model development or validation is a plus
- Prior experience in financial products/markets and regulatory stress testing (CCAR/ICAAP) is a plus
Employment Type: Full Time, Permanent
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Rating based on 648 Associate
reviews
Anonymous · IT & Information Security
in Bangalore / Bengaluru
Working in JPMorgan has been a great experience. Starting from package increament work life balance is been very good
- Salary - Good
Only issue is here the technology they use is very old and knowledge growth become stagnent after some period of time
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