Moody’s
Company Name: | Moody’s |
Post Name: | Intern |
Salary: | INR 5 LPA (via Glassdoor) |
Degree: | Bachelor’s/Master’s Degree |
Batch: | 2019/2020/2021/2022/2023/2024 |
Experience: | Fresher(0-1yr) |
Job Location: | Noida, India |
Job Description & Responsibilities:-
- Draw meaningful insights and inferences based on various white and research papers on different insurance domains, available online.
- Enhancing data collection procedures to include information that is relevant for building analytic systems.
- Should be able to automate various processes on regular basis using Python/R etc.
- Provide professional skills necessary for all phases of data analysis, including the application of standard statistical methods for conducting analysis, QA/QC/, documentation and presentation.
- Communicates analytical insights through sophisticated synthesis and packaging of results (Including PPT slides and charts)
- Serve as an active participant on cross-functional projects, interpreting data, and translating into actionable insights, provide support on ad-hoc analysis and reports.
Eligibility Criteria:-
- BS / MS degree in computer science or science related field including but not limited to
- Operations Research, Applied Mathematics, Econometrics and Statistics
- 0-1 years of hands-on experience in similar roles
- Proficient in Python/R programming skills. Julia programming skill is a plus
- Data manipulation tools (SQL, Microsoft Office); high level of expertise in Excel.
- Excellent written/documentation and verbal skills, as evidenced by white papers or technical presentations at meetings and conferences.
- Analytical and innovative thinking and problem-solving skills.
- Good, applied statistics skills, such as distributions, statistical testing, regression, etc.
Preferred Skill Set:-
- Experience in one or more of the following would be useful: data mining, text mining, machine learning developing statistical models.
- Detail-oriented, self-driven quick learner with very strong analytical and problem-solving skills, and a high degree of self-motivation
- Ability to independently drive projects and demonstrate technical ownership of the work