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Quantitative Analyst II
2 months ago
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.
- 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.
- 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.
- 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
English (en-US)