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Quantitative Solutions VP
2 months ago
Quantitative Solutions VP
Job Summary:
The Client Outreach team at Bank of America is seeking a highly skilled Quantitative Solutions VP to join our team. As a key member of our team, you will work closely with business partners to identify opportunities, gather requirements, and deliver solutions that result in cost savings, risk mitigation, regulatory compliance, business enablement, and client engagement.
Key Responsibilities:
- Collaborate with business partners to design, develop, test, and maintain automation of business processes
- Develop and maintain Dash web applications with user-friendly interfaces for workflow processing, data visualization, and exploration
- Design and implement relational databases in Impala to effectively store and manage data
- Develop optimal schemas for Impala tables based on query patterns and data characteristics
- Integrate Dash applications with Impala to efficiently query and process large data sets
- Implement and manage Oozie job schedulers for maintaining ETL processes to efficiently load, transform, and distribute daily data
- Employ agile development practices to develop effective business solutions based on business needs
- Bachelor's degree required, Master's or higher degree in Computer Science, Mathematics, Applied Mathematics, Statistics/Data Science, or related Quantitative experience preferred
- 5+ years of working experience in process automation, data analysis, and/or ETL development with a focus on banking and financial services
- Demonstrable experience in the banking industry, with a solid understanding of banking processes, financial regulations, and risk management principles
- Excellent problem-solving skills with a knack for identifying automation opportunities and designing efficient solutions
- Strong analytical and critical thinking skills to assess process efficiency and effectiveness
- Advanced proficiency in Python with minimum 2 years of programming experience, including data manipulation and analysis using libraries such as Pandas, NumPy, and SQLAlchemy
- Extensive experience with Dash framework for building web applications
- In-depth knowledge of Impala or other SQL-on-Hadoop query engines
- Understanding of web development concepts (HTML, CSS, JavaScript)
- Proficiency in data visualization libraries (Plotly, Seaborn)
- Solid understanding of database design principles and normalization
- Experience with ETL tools and processes and Apache Oozie or similar workflow management tools
- Understanding of Machine Learning and AI concepts is a plus
This role is based in the United States and requires a 1st shift schedule with 40 hours per week.