Moody’s is hiring for the position of Intern in Noida, India. Candidates with Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Moody’s |
| Position | Intern |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2020/ 2021/ 2022/ 2023/ 2024 |
| Experience | Freshers (0 – 1 Years) |
| Location | Noida, India |
Key Responsibilities:
- Extract meaningful insights and draw inferences from diverse white and research papers across various insurance domains available online.
- Improve data collection procedures to incorporate relevant information essential for constructing analytical systems.
- Automate routine processes using tools such as Python or R.
- Possess professional skills required throughout all stages of data analysis, encompassing the application of standard statistical methods, quality assurance/quality control (QA/QC), documentation, and presentation.
- Communicate analytical insights effectively by synthesizing and packaging results, including the creation of PowerPoint slides and charts.
- Actively participate in cross-functional projects, interpreting data, and translating findings into actionable insights. Additionally, provide support for ad-hoc analysis and reports.
Eligibility Criteria:
- Hold a BS/MS degree in computer science or a science-related field, which may include but is not limited to Operations Research, Applied Mathematics, Econometrics, and Statistics.
- Possess 0-1 years of hands-on experience in roles similar to the one described.
- Demonstrate proficiency in Python/R programming skills, with Julia programming skills considered a plus.
- Exhibit expertise in data manipulation tools, including SQL and Microsoft Office, and a high level of proficiency in Excel.
- Showcase excellent written/documentation and verbal communication skills, exemplified by the creation of white papers or technical presentations at meetings and conferences.
- Demonstrate analytical and innovative thinking, along with strong problem-solving skills.
- Possess good applied statistics skills, including knowledge of distributions, statistical testing, regression, etc.
Preferred skills:
- Practical experience in areas such as data mining, text mining, and the development of statistical models, with familiarity in machine learning being beneficial.
- Possess a keen attention to detail, coupled with self-driven qualities, quick learning abilities, and robust analytical and problem-solving skills. Additionally, demonstrate a high degree of self-motivation.
- Exhibit the capability to autonomously lead projects and showcase technical ownership of the assigned work.
About Company:
S&P Global Sustainable1 is the central source for sustainably intelligence from S&P Global. Sustainable1 matches customers with the ESG products, insights and solutions from across S&P Global’s divisions to help meet their unique needs. Our comprehensive coverage across global markets combined with in-depth ESG intelligence provides financial institutions, corporations and governments an unmatched level of clarity and confidence to successfully navigate the transition to a sustainable future. Our data and well-informed point of view on critical topics like energy transition, climate resilience, positive impact and sustainable finance allow us to go deep on the details that define the big picture so customers can make decisions with conviction.
How To Apply?
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