Instructions To Be Followed Before Applying for the Job:
Read the Job Description: Start by carefully reading the job description. Make sure you understand what the job involves.
Check Your Skills: Compare the skills they're looking for with what you know how to do. Figure out where you're strong and where you might need to learn more.
Check Eligibility Criteria: Look at the qualifications they want, like education and experience. Make sure you have what they're asking for.
Update Your Resume and Cover Letter: Change your resume and cover letter to match the job. Highlight the things that make you a good fit.
Learn About the Company: Take some time to find out about the company you want to work for. Understand what they do and what they care about. This helps you show you're interested in them.
Read the Job Description: Start by carefully reading the job description. Make sure you understand what the job involves.
Check Your Skills: Compare the skills they're looking for with what you know how to do. Figure out where you're strong and where you might need to learn more.
Check Eligibility Criteria: Look at the qualifications they want, like education and experience. Make sure you have what they're asking for.
Update Your Resume and Cover Letter: Change your resume and cover letter to match the job. Highlight the things that make you a good fit.
Learn About the Company: Take some time to find out about the company you want to work for. Understand what they do and what they care about. This helps you show you're interested in them.
Responsibilities:
- Delivers high quality data collation/analysis work that meets the needs and expectations of project owner.
- Understand the definition of alternative data and the related insights it leads to the business opportunities.
- Quality check data using internal tools and resolve data defects.
- Keeps abreast of market, industry and regulatory developments that affect the approaches and techniques used in the analysis.
- Assist in ad-hoc research activities.
Good to Have:
- Preferably some previous relevant background/experience in financial and alternative data Quantitative skills in data engineering, data science, machine learning, statistics and/or econometrics are highly desirable
- The ability to analyze original, non-routine analytical/business problems in a timely and insightful manner. Ability to translate such problem interpretation into relevant solutions
- Willing to work in 24*5 shift
- Proficient in MS Excel. Familiar with SQL/Python is a plus
- Ability to take initiative and self-manage time
- Strong communications skills
Eligibility Criteria:
1)BE/BTech, MTech
2)Year of Passing: 2019 to 2024
Location: Hyderabad