Quantitative Finance 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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Line of Business Job Description:
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.

Job Description:
This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

• Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
• Supports the planning related to setting quantitative work priorities in line with the bank's overall strategy and prioritization
• Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
• Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
• Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
• Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
• Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

• 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.
• 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.

• Bachelors or Masters in computer science, system analysis, Information Systems or related field.
• 1-3+ years of experience with Data Sourcing, Data Wrangling, Data Engineering or similar role
• 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 Understanding of Risk Management and Data Management Principles
• Experience in Product Management: Ability to visualize functionality within a product, work with cross functional teams to deliver, market the product, create Road Shows/Office Hours, and onboard the users
• Experience in Project Management: Create concise project plans, Delivery Management, JIRA advanced user, Presentation Skills
• Business and Data Analysis Skills: Create BRDs/DRDs, SQL Skills, Technical skills (Python etc.) is a plus, Data Quality/Profiling Awareness, Data Lineage Awareness
• Business Analytics: Tableau Experience, Any BI Tool Experience
• Finance/Risk Domain Experience
• Stakeholder management and Communication Skills.

• 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.

• Critical Thinking
• Quantitative Development
• Risk Analytics
• Risk Modeling
• Technical Documentation
• Adaptability
• Collaboration
• Problem Solving
• Risk Management
• Test Engineering
• Data Modeling
• Data and Trend Analysis
• Process Performance Measurement
• Research
• Written Communications