Vice President of KYC Quantitative Solutions

1 week ago

Charlotte, North Carolina, United States Bank of America Full time
Job Overview:

Department Overview
The Client Outreach division serves as the primary interface with clients, fulfilling Know Your Client (KYC) periodic refresh and remediation obligations. This team collaborates closely with Global Corporate and Investment Bankers, as well as Global Markets Sales, to ensure compliance with the Bank's global regulatory and policy mandates regarding Client Due Diligence (CDD) documentation collection, with assistance from Operations and Global Financial Crimes Risk teams.

The team is responsible for establishing and nurturing client relationships, engaging client representatives to secure KYC documentation, and acting as a central point for resolving issues related to client and country-specific documentation requirements promptly.

In addition to ongoing document engagement, team members stay informed about global regulatory changes that may impact processes and identify opportunities to enhance the client experience.

Position Summary

The KYC Client Outreach Quantitative Solutions team proactively seeks opportunities that create significant impact and improve existing processes and associated data requirements. The team values intellectual curiosity and encourages individuals to share their expertise to foster collaborative efforts aimed at advancing tools, technology, and methodologies to better serve our business partners.

Key Responsibilities

The selected candidate will work closely with business partners to identify opportunities, gather requirements, and successfully implement solutions that lead to cost reductions, risk management, regulatory compliance, business facilitation, and enhanced client engagement.
  • Collaborate with business partners to identify, design, develop, test, and maintain automation of business processes.
  • Develop and sustain a Dash web application with a user-friendly interface for workflow processing, data visualization, and efficient reporting.
  • 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 datasets.
  • Implement and manage Oozie job schedulers for maintaining ETL processes to efficiently load, transform, and distribute daily data.
  • Utilize agile development practices to create effective business solutions based on organizational needs.
Qualifications
  • Education & Experience:
  • Bachelor's degree required; a Master's or higher degree in Computer Science, Mathematics, Applied Mathematics, Statistics/Data Science, or related quantitative field preferred.
  • 5+ years of professional experience in process automation, data analysis, and/or ETL development, particularly within banking and financial services.
  • Domain Knowledge & Problem-Solving Skills:
  • Proven experience in the banking sector, with a comprehensive understanding of banking processes, financial regulations, and risk management principles.
  • Exceptional problem-solving abilities with a talent for identifying automation opportunities and designing efficient solutions.
  • Strong analytical and critical thinking skills to evaluate process efficiency and effectiveness.
  • Technical Skills:
  • Advanced proficiency in Python with a minimum of 2 years of programming experience, including data manipulation and analysis using libraries such as Pandas, NumPy, and SQLAlchemy.
  • Extensive experience with the Dash framework for developing 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, as well as Apache Oozie or similar workflow management tools.
  • Familiarity with Machine Learning and AI concepts is a plus.
  • Leadership & Interpersonal Skills:
  • Demonstrated ability to manage and execute automation projects from initiation to completion, ensuring adherence to timelines and quality standards.
  • Strives to introduce innovative ideas and implement unique solutions.
  • Exceptional communication and interpersonal skills to effectively collaborate with stakeholders at all organizational levels.
  • Commitment to challenging the status quo and fostering positive change through automation.
  • Able to present complex technical concepts clearly and concisely to both technical and non-technical audiences.
Shift:
1st shift (United States of America)

Hours Per Week:
40

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