Client Quantitative Senior Analyst

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Job Description:
Leads & delivers the analytical work efforts for a dedicated business area or function and may utilize various resources across Analytical Teams; usually within a specific line of business or business discipline (card, call center, digital, etc.). Leverages multiple databases to acquire customer and performance data and demonstrates deep subject matter expertise in area of focus. Delivers individually or with the help of peers and others insightful data to be used in driving complex business decisions or processes. Identifies opportunities for collaboration across the Analytics organization to effectively deliver against priorities. Communicates with Senior managers and Analytics executives to understand business problems to be analyzed and deliver the appropriate summary and data required. Communicates with Business Leaders to identify, analyze, and propose solutions to a variety of business problems using data driven insights. May be required to interact more independently and own a project or business area end-end. Ability to use data tools and techniques to find and deliver data from various sources of record. Proven communications skills in describing complex data to inform strategic insights and decisions.

This leader will perform data lineage for Consumer and Small Business Anti-Money Laundering. This leader will serve as subject matter expert and build deep knowledge of data domains, supporting systems, data governance, and financial services risk management concepts. This leader will drive quality and consistency and develop standardized templates, tools, design practices to promote high quality deliverables and consistent practices across lines of business. This leader will ultimately document and attest to the end-to-end data lineage ecosystem for CSB AML.

This leader will:

• Consult with data stewards, process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data attributes and data sources, control features while interfacing with other systems to identify end-to-end lineage
• Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry standard methods including business process descriptions, use cases, scenarios, diagrams, flow charts, etc.
• Analyze information gathered from multiple sources, reconcile conflicts, segment high-level information into details, and abstract up from low-level information to a general understanding
• Assess and identify deficiencies against internal policies and standards or industry best practices, providing formal recommendations and requirements to remediate
• Collaborate and partner with technology teams, architects, and other key stakeholders to deliver critical assessments and drive solutions which provide ongoing operational excellence and resiliency to metadata and control environment challenges
• Review and provide input to technical solution designs from a business point of view and recommend alternatives
• Communicate plans, progress and risks appropriately to the stakeholders and sponsors

Required Qualifications:

Technical Expertise

• Demonstrates the application of innovative technical solutions to solving complex data intensive challenges
• Has or develops a depth of financial product understanding
• 5+ years working with multiple databases, data structures, data modeling and data mapping
• Understanding of business process modeling, data provisioning modeling, and entity relationship modeling
• Comfortable with the application of digital technology and inclusion of metadata, lineage, and controls as part of application design
• Execution Expertise
• Direct experience successfully working with second and third lines of defense (i.e. -compliance, audit) to build a defensible program.
• Ability to drive execution through disciplined oversight
• Ability to interpret and evaluate client’s data requirement needs
• Ability to build strong relationships in a matrixed environment
• Excellent verbal and written communication skills
• Resourceful and knows how to cultivate relationships across enterprise including technology, operations, product, and lines of business.
• Ability to work with a variety of different stakeholders and cross-functional teams
• Strong organizational and critical thinking skills
• Ability to lead and facilitate meetings and groups
• Skilled in fact-finding and data collection with strong attention to detail and precision
• Demonstrates an ability to set objectives and organize work appropriately to meet and exceed goals

Other Qualifications

• Bachelors or Masters in business, computer science, system analysis, Information Systems or related field
• Strong process/systems analysis, design and documentation
• Strong analytical, critical thinking, and problem-solving skills
• Ability to monitor tight deadlines and adapt to unexpected requirement changes
• Strong written and verbal communication skills and ability to lead discussions with counterparts
• Self-motivated with an ability to work on one’s own with a strong sense of ownership and accountability in high-pressure situations
• Strong Understanding of Risk Management and Data Management Principles  

Desired Qualifications:

• Familiarity with Consumer & Small Business Banking
• Understanding or experience with programming in SQL, SAS, Python, Collibra
• Familiarity with databases and file systems, such as Oracle, Hadoop (SDP), etc.

Skills:

• Business Analytics
• Continuous Improvement
• Data Mining
• Data and Trend Analysis
• Technical Troubleshooting
• Analytical Thinking
• Business Acumen
• Influence
• Quality Assurance
• Technical Strategy Development
• Business Intelligence
• Data Quality Management
• Executive Presence
• Innovative Thinking
• Mentoring

Shift:

Hours Per Week: