Senior Quantitative Finance Manager

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!

BACKGROUND

Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model and reputational risk matters to support sustainable, profitable corporate growth.

In a data driven economy, strategic data asset management is foundational to add to the enterprise value. Within GRM, we have established the Data Strategy & Management (DSM) function. A key pillar of this function is a growing Strategic Coordination and Implementation (SCI) team.

Under DSM Executive’s leadership, the SCI team will develop a holistic vision on how best to structure data sourcing and data quality control strategy for GRM so it can unlock business value. This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.

ROLE DESCRIPTION

This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, and Technology Teams to understand and assess their data, processes, and technology to support strategic data initiatives, remediate deficiencies, and drive business requirements.

• 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, interfaces with other systems required
• Work with GCOR Trade Surveillance teams to guide and oversee development of data requirement documents for surveillances
• Conduct research to understand changes in market structure and regulatory cases to inform trade surveillance development
• 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 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

YOUR IMPACT

• Serve as subject matter expert – build deep knowledge of data domains, supporting systems, data governance, and financial services risk management concepts
• Drive quality and consistency – develop standardized templates, tools, design practices to promote high quality deliverables and consistent practices across GRM lines-of-business
• Drive innovation – solve complex data-related problems for GRM process owners using a variety of technical and analytical skills
• Own your project – manage and monitor project execution – from requirements to sourcing and evaluating the fit-for-purpose data – working with all the stakeholders across GRM, Business and Technology

Technical Expertise

• Demonstrates the application of innovative technical solutions to solving complex data intensive challenges
• Has or develops a depth of product understanding, including the ability to conceptualize solutions and employ a structured framework to evaluate features to drive definitive and strategic product decisions
• Strong understanding of 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

• Ability to drive execution through disciplined oversight
• Ability to interpret and evaluate client’s data requirement needs
• Excellent verbal and written communication skills
• Resourceful and knows how to cultivate relationships
• 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

BASIC QUALIFICATIONS

• Bachelors or Masters in 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

PREFERRED QUALIFICATIONS

• 10+ years of Experience with Data Sourcing, Data Wrangling, Data Engineering or similar role
• Familiarity with one of the following areas – Trading, Consumer Banking, Wealth Management, Transaction Banking
• Understanding or experience of programming in SQL, C/C++, Java
• Familiarity with databases, such as Oracle, Hadoop, etc.

Shift:

Hours Per Week: