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Quantitative Analyst II

2 months ago


Boston, Massachusetts, United States Bank of America Full time
About the Role

We are seeking a highly skilled Quantitative Analyst II to join our team at Bank of America. As a key member of our Client Protection organization, you will play a critical role in leading analytical work efforts for various projects within a Line of Business or business discipline.

Key Responsibilities
  • Extract data from various sources using programming languages such as SQL, SAS, Python, or Spark/Scala, and apply knowledge of relational and non-relational database systems.
  • Connect provisioned data across multiple sources and perform necessary transformations to transform data into meaningful values and insights.
  • Perform quantitative techniques and analysis on client, transaction, and performance data based on questions provided by business partners, and provide actionable insights for business partners to make informed decisions.
  • Interpret business problems and questions, and perform required research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables.
  • Communicate complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point, Word, Excel, and Tableau.
  • Research and evaluate data sourcing, conduct quality checks and comparisons of both data and analysis output, and escalate data inconsistencies and gaps to technology and leadership.
Requirements
  • 5+ years of experience in applied data science or quantitative research or related role.
  • Advanced knowledge of statistical and data mining methods, techniques, formulas, and tests. Fluency in Python, SAS, and SQL.
  • Strong analytical and problem-solving skills, experience extracting and merging data from different database environments, including Hadoop.
  • Strong technical writing, communication, and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences.
  • Ability to bring new thoughts and ideas to the team in order to drive innovation and unique solutions.
Preferred Qualifications
  • Bachelor's degree in quantitative field such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics, or Physics.
  • Effective at prioritization/time and project management.
  • Broad understanding of financial products and experience supporting highly regulated initiatives in a large complex financial institution.
  • Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques.
  • Proven communication skills in describing complex issues to inform strategic insights and decisions.
Skills
  • Application Development
  • Business Analytics
  • Data Mining
  • Data and Trend Analysis
  • Business Intelligence
  • Data Quality Management
  • Data Visualization
  • Quality Assurance
  • Technical Troubleshooting
  • Analytical Thinking
  • Business Acumen
  • Continuous Improvement
  • Innovative Thinking
Language

English (en-US)