The Quantitative Equity Research Team at JPMorgan Chase is seeking a Junior Quantitative Equity Data Analyst to help leverage data-driven insights for investment decisions and research strategies.
Requirements
- Proficiency in Python is a must, with a strong emphasis on data manipulation and analysis libraries (pandas, NumPy, etc.).
- Familiarity with SQL
- Experience working with large datasets and applying quantitative analysis techniques.
Responsibilities
- Collaborate with senior analysts to develop and maintain robust data pipelines for collecting, cleaning, and analyzing large datasets.
- Utilize programming skills in Python to automate data processes and enhance efficiency.
- Work with SQL to query, extract, and manipulate data from various databases.
- Reference and apply statistical methods to interpret financial data and identify trends.
- Assist in the development and implementation of data visualization tools and reports.
- Collaborate with team members to ensure timely and accurate delivery of data-driven insights.
- Maintain data integrity and quality by conducting regular audits and validation checks.
Other
- 1+ years of experience within the financial or investment industry.
- Strong time management skills and the ability to prioritize tasks in a fast-paced environment.
- Excellent data management skills with a keen attention to detail.
- Strong problem-solving skills and a proactive mindset.
- Effective communication skills to collaborate with team members and present findings.
