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 is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
Responsibilities:
* 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.
* Leads 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.
* Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite.
* Leads and provides 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.
Job Description Summary:
The Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) team is seeking a Senior Quant Financial Analyst to advance the holistic representation and effectiveness of its process inventory and the inventory's interactions with connected Enterprise processes. The role will entail broad engagement across the breadth of GRA and EIT, as well as with senior stakeholders across a range of related Enterprise functions. The position sits within the Model and Testing Standards and Oversight (MTSO) team, a division of GRA and EIT.
Responsibilities:
* Driving consistency in process granularity across GRA and EIT's inventory of processes, and connected upstream and downstream processes.
* Ensuring that GRA and EIT's processes align with organizational and business objectives in a consistent manner across the inventory.
* Collaborating with the Global Risk Management (GRM) Data Strategy and Management team to connect processes and data flows; establishing consistent representations of process and data-related information that support effective risk management.
* Working with EIT leadership and GRM partners to connect processes and testing effectively.
* Contributing to the advancement of process management within the Bank.
* Engaging and collaborating with the GRA and EIT Process Management team, the Enterprise Process Management team, Process Owners, the Management Controls Committee, and Chief Risk Officers to achieve the above objectives.
Overview of Global Risk Analytics and Enterprise Independent Testing:
Global Risk Analytics (GRA) is a sub-line of business within GRM. GRA is responsible for developing a consistent and coherent set of models and analytical tools for effective Risk and Capital measurement, management and reporting across Bank of America. In addition to model development, GRA conducts model implementation, data management, model execution and analysis, forecast administration, and model performance monitoring. The team drives innovation, process improvement and automation across all of these activities.
Enterprise Independent Testing (EIT) is the centralized, independent testing function within GRM focused on operating as an enterprise utility to test processes and controls that require testing across the company. EIT's testing provides business leaders visibility of their process and control effectiveness, which enables early risk detection and the mitigation of operational risk. As a center of excellence, EIT conducts independent testing throughout the year globally, providing ongoing feedback to monitor and improve processes. EIT tests processes and controls on behalf of the Second Line of Defense, Front Line Units (FLUs) and Control Functions (CFs), enabling more efficient and effective testing.
Overview of Model and Testing Standards and Oversight:
The Model and Testing Standards and Oversight (MTSO) team provides standards and oversight for Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) that ensure GRA and EIT operate effectively and efficiently, and output is delivered to a high standard and within a robust governance framework.
Required Skills and Experience:
* Familiarity with process modelling approaches and tools.
* Excellent interpersonal skills at all levels of seniority.
* Proven ability to challenge the status quo and drive change.
* Strong analytical and problem solving skills.
* Attention to detail.
* Good written and verbal communication skills.
Skills:
* 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
Minimum Education Requirement: Master's degree in related field or equivalent work experience. #J-18808-Ljbffr