Junior Client Quantitative Analyst — Data Insights

Bank of America; Deerwood Club (FL); On-site; USD 90,000 - 150,000; Full time

Job summary

Bank of America is seeking a Client Quantitative Analyst to support data-driven decisions across lines of business. You will extract and transform data from multiple sources using SQL, SAS, Python, and Spark, and present insights to leaders to drive strategic outcomes.

In this role, you will conduct quantitative analyses, communicate complex results to non-technical partners, and contribute to BSA/AML compliance analytics while maintaining documentation and quality standards.

Qualifications

• Bachelor’s degree or higher in finance, math/statistics, CS or a quantitative field.
• 2+ years of experience in applied data science or quantitative research.
• Ability to extract and merge data from structured and unstructured sources; familiarity with Hadoop.
• Strong analytical, technical writing, and presentation skills; ability to communicate quantitative topics to non-technical audiences.

Responsibilities

• Extract data using SQL, SAS, Python, or Spark/Scala across on-premise and hybrid platforms.
• Connect and transform data from multiple sources to generate meaningful insights.
• Perform quantitative analyses and deliver actionable insights to business partners.
• Communicate complex data in a simple, engaging way using PowerPoint, Excel, and Tableau.
• Maintain data quality and escalate inconsistencies to leadership; follow quality workflow requirements.

Skills

SQL

Python

SAS

Spark/Scala

Data Visualization

Data Mining

Analytical Thinking

Business Analytics

Data Quality Management

Data and Trend Analysis

Business Intelligence

Application Development

Continuous Improvement

Innovative Thinking

Quality Assurance

Education

Bachelor’s degree or higher in finance/statistics/CS

Master’s degree or higher (preferred)

Tools

Hadoop

Job description

Bank of America is seeking a Client Quantitative Analyst to support data-driven decisions across lines of business. You will extract and transform data from multiple sources using SQL, SAS, Python, and Spark, and present insights to leaders to drive strategic outcomes.

In this role, you will conduct quantitative analyses, communicate complex results to non-technical partners, and contribute to BSA/AML compliance analytics while maintaining documentation and quality standards.