Moody’s Analytics is hiring for Assistant Risk Consulting Associate. Candidates with good knowledge of Statistics/ Econometrics concepts can apply for the profile. The entire eligibility criteria and application process are mentioned below.
About Moody’s Analytics:
Moody’s Analytics provides financial intelligence and
analytical tools supporting their clients’ growth, efficiency and risk
management objectives. The integration of the unparalleled expertise in risk,
expansive information resources, and innovative application of technology,
helps today’s business leaders confidently navigate an evolving marketplace.
Moody’s Analytics Hiring Assistant Risk Consulting Associate - Details:
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Company Name: |
Moody’s Analytics |
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Company Website: |
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Job Role: |
Assistant Risk Consulting
Associate |
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Job ID: |
19438BR |
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Job Location: |
Gurgaon, India |
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Experience: |
Freshers |
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Qualifications: |
Any Graduation / Post
Graduation |
Role/Responsibilities:
- Work
credit risk analytics and stress testing models for delivering various projects
viz. PD, LGD, EAD, stress testing, loan life-cycle models – modeling,
independent review, gap assessment
- Develop,
validate, benchmark and calibrate probability of default, loss given default,
exposure at default and stress testing models using statistical/econometric
techniques
- Perform
other Basel (banking) regulation related analyses e.g. Economic Capital
analysis
- Learn
and implement techniques in building and testing various quantitative and
qualitative models.
- Perform
ad-hoc statistical analysis as needed and generate actionable reports
- Able
to learn new statistical, econometric, and other quantitative concepts from
research papers and implement
- Use
tools such as SAS, R, SQL, and MATLAB to manipulate data, develop and validate
quantitative models from small or large data sources
- Deliver
end solution maintaining quick turnaround times and high-quality standards
- Participate
in brain storming sessions and propose hypothesis, approaches and techniques
- Travel
onsite to client side as and when needed
- Communicate
with clients to understand their needs
Qualifications:
- Good
knowledge of Statistics/ Econometrics concepts
- Good
verbal and written communication skills
- Good
problem-solving skill and interpersonal skill
- Good
knowledge of software such as SAS, SQL, R, VBA, or MATLAB Hands-on relevant
experience in credit risk modeling is a definite preference and a plus
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Reviewed by Jobs Barrel
on
December 25, 2020
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