Lead Data Analytics & Insights for Investment Research

Fidelity; Boston (MA); On-site; USD 120,000 - 141,000; Full time

Benefits offered by this job

On-site health and wellness resources

Job summary

Fidelity in Boston, MA seeks a Manager, Data Analytics and Insights to apply advanced analytics for investment research and data management. The role develops analytical solutions using Python, R, and SQL, improves data quality, and collaborates with vendors and business partners.

As a leader, you will organize and analyze data, perform data analysis via SQL and R, and help resolve data issues while guiding a team through daily operations and projects.

Qualifications

• Experience maintaining accounts and supporting financial instrument data management operations using VBA, SQL, and Python.
• Experience with performance and attribution engine systems and return calculation methodologies.
• Designing robust data analysis templates for data quality validation and conducting advanced analyses using VBA, SQL and Python.

Responsibilities

• Applies advanced analytics and quantitative concepts to support investment research.
• Analyzes financial data to perform portfolio construction and alpha generation research.
• Supports daily operations and detailed data analysis.
• Identifies data issues, performs root cause analysis, and implements resolutions.
• Works with vendors and business partners across the organization.
• Interprets and acts on data results.
• Brainstorms with the team on solutions to address challenges and roadblocks.

Skills

VBA

SQL

Python

Education

Bachelor’s degree in Finance, CS, Engineering, IT, Information Systems

Master’s degree in same fields with 1 year experience

Tools

Excel

Job description

Fidelity in Boston, MA seeks a Manager, Data Analytics and Insights to apply advanced analytics for investment research and data management. The role develops analytical solutions using Python, R, and SQL, improves data quality, and collaborates with vendors and business partners.

As a leader, you will organize and analyze data, perform data analysis via SQL and R, and help resolve data issues while guiding a team through daily operations and projects.