Risk Analysis Manager

Bank of America•Charlotte, NC

19h

About The Position

The Risk Analysis Manager leads a team that supports data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses. The role performs data management, complex analysis, and modeling to support profit and asset growth while reducing credit, operating, and other risk exposures. It provides analytical support for product and credit risk strategies and helps ensure business goals are met. The position oversees data design and analysis of portfolio, loss, industry, and asset-quality trends, portfolio dynamics, and risk-rating migration. It coordinates databases and performance reports for senior management, including asset-quality reporting, portfolio reviews, regulatory updates, forecasting, and risk-appetite limit setting. The manager also maintains reporting, analytics, and Tableau dashboards; supports third-party oversight routines and projects; and may develop complex models using databases for statistical and financial modeling. The role partners across Risk, business, data, and technology teams to support strategic initiatives, remediate data-quality issues, and align analysis with business strategies. It oversees relevant systems and controls, responds to complex ad-hoc information requests, and uses independent judgment and strategic thinking. Bank of America describes an in-office culture with role-specific flexibility based on responsibilities and business needs.

Requirements

Bachelor’s degree required.
Ability to analyze data and draw business-relevant conclusions using data visualization techniques and tools.
High attention to detail and commitment to quality work products.
Ability to manage multiple competing priorities with time-sensitive deadlines.
Highly responsive to ad-hoc information requests.
Proficiency with query and reporting analysis tools.
Proficiency in Excel, including macros, pivot tables, and lookups.
Experience with Tableau-driven dashboards and analytics.
Advanced analytical skills, including the ability to navigate systems, access data, reconcile numbers from different sources, identify discrepancies, and understand drivers of change.
Problem-solving ability, ownership of tasks, and persistence in resolving challenges.
Strong business-partnering skills, including the ability to interact, communicate, and influence at all organizational levels.
Strong written and verbal communication skills.

Nice To Haves

Experience in GWIM is strongly preferred.

Responsibilities

Lead a team supporting data and technology requests, complex reporting and analysis, and modeling for risk management.
Develop, execute, and enhance reporting that enables Risk and business partners to identify and manage risk.
Manage analysis of portfolio, loss, industry, asset-quality, and risk-rating migration trends; identify root causes and propose and implement solutions.
Oversee data design, portfolio dynamics analysis, and alignment of analysis with business strategies.
Serve as a liaison among data, technology, and reporting teams for strategic initiatives affecting multiple Risk functions and lines of business.
Manage database production processes and performance reports for senior management using data mining and other advanced analytical techniques.
Respond to complex ad-hoc information requests from internal and external parties.
Lead cross-functional efforts to remediate data-quality issues.
Oversee relevant systems and monitor outputs to ensure controls are operating effectively.
Perform routine and ad-hoc complex data analysis, asset-quality reporting and monitoring, and portfolio and industry analysis across several lines of business.
Coordinate asset-quality performance reports, portfolio reviews, quarterly regulatory updates, industry analysis, forecasting, and risk-appetite limit setting for senior management.
Maintain reporting, analytics, and Tableau dashboards and develop additional report content using dashboards and other sources.
Support ongoing routines, reporting, and ad-hoc projects related to third-party oversight.
May develop complex program models to extract data and use databases for statistical and financial modeling.
Provide analytical support for product and credit risk strategies to help meet company goals.