Location: New York, NY, United States

We are a dynamic and innovative Quantitative Equity Research Team seeking a highly motivated Junior Quantitative Equity Data Analyst to join our talented and collaborative team. As a key player in the financial industry, we leverage data-driven insights to make informed investment decisions and drive our research strategies.

As a Junior Quantitative Data Analyst within our Quantitative Equity Research Team, you will collaborate with senior analysts to develop and maintain robust data pipelines, utilize programming skills in Python to automate processes, and work with SQL to manipulate data. You will apply statistical methods to interpret financial data, assist in developing data visualization tools, and ensure timely delivery of insights. Your role will focus on maintaining data integrity and quality, providing you with the opportunity to enhance your skills in a dynamic and innovative environment.

Job 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.

Required qualifications, capabilities and skills

• Bachelor's degree in a relevant field such as Data Science, Statistics, Finance, or related disciplines.
• 2+ years of experience in a similar role or within the financial or investment industry.
• Proficiency in Python 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.
• 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