Senior Quantitative Solutions Specialist
6 days ago
The Bank of America is seeking a highly skilled Quantitative Solutions VP to join our team. As a key member of our Global Corporate and Investment Bank, you will play a critical role in driving business growth and innovation through the development and implementation of quantitative solutions.
Key Responsibilities- Collaborate with business partners to identify opportunities for process automation and data analysis.
- Design, develop, and maintain Dash web applications for workflow processing, data visualization, and reporting.
- Develop and implement relational databases in Impala to effectively store and manage data.
- 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 in Computer Science, Mathematics, Applied Mathematics, Statistics/Data Science, or related quantitative experience.
- 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.
- Master's or higher degree in Computer Science, Mathematics, Applied Mathematics, Statistics/Data Science, or related quantitative experience.
- Proven track record of managing and executing automation projects from initiation to completion, ensuring adherence to timelines and quality standards.
- Exceptional communication and interpersonal skills to effectively drive collaboration with stakeholders across all levels of the organization.
- Commitment to challenging the status quo and promoting positive change through automation.
- Ability to present complex technical concepts in a clear and concise manner to both technical and non-technical audiences.
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Quantitative Solutions VP
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