Risk Analysis Specialist II

Bank of America

Atlanta (GA)

On-site

USD 100,000 - 150,000

Full time

4 hours ago

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Job summary

Bank of America is seeking a data analytics and risk reporting specialist to support complex data requests, internal/external reporting, and modeling for risk management. You will analyze portfolio trends, assist with database design, and collaborate with Technology to ensure data needs are met.

The role emphasizes data integrity, process improvement, and cross-functional collaboration with risk, finance, and operations to drive informed decision-making and stronger controls across the

Qualifications

Bachelor's degree or higher in Finance, Accounting, Economics, Business Administration, Information Management, Data Analytics, Statistics, Engineering, or related field
Experience applying data analytics, risk assessment, and governance to banking contexts
Proficiency with data extraction, transformation, and reporting for internal/external audiences
Familiarity with data quality controls, data flows, and process improvement initiatives
Knowledge of risk management, regulatory expectations, and enterprise controls within banking

Responsibilities

Evaluate data flows, business processes, and operational controls to identify data quality concerns and risks
Partner with stakeholders across business, risk, finance, operations, technology, and audit to support evaluations and improvements
Leverage data analytics, reporting, automation, AI-enabled tools, and quantitative methods to identify trends and drive better decisions
Develop reporting, dashboards, and visualizations communicating performance metrics, risks, and opportunities
Support governance, risk management, and continuous improvement initiatives to strengthen controls and resiliency

Skills

Learning Agility

Process Excellence

Data & Analytical Thinking

Risk & Controls Mindset

Technology & Innovation

Stakeholder Management & Communication

Business & Financial Acumen

Regulated Environment Experience

Education

Bachelor's degree or higher in Finance, Accounting, Economics, Business Admin, Information Management, Data Analytics, Statistics, Engineering, or related field

Tools

SQL

Automation

AI-enabled tools

Job description

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!

This job

This job is responsible for supporting data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses. Key responsibilities include reviewing and analyzing portfolio trends, supporting the development of more complex databases or queries to extract data, and supporting the production of data for internal and external reporting needs. Job expectations include working with Technology to implement changes necessary to support ongoing data needs.

Responsibilities

Supports the development and execution of reporting to allow Risk and business partners to effectively identify and manage risk
Analyzes trends and supports the data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies
Provides analytical support on various product strategic initiatives affecting multiple Risk functions and lines of business to ensure company goals are met
Participates in the development of database production processes and performance reports for senior management, using data mining and other advanced analytical techniques to aggregate data
Supports with responding to complex ad-hoc requests for information from both internal and external parties
Provides support on cross-functional efforts to remediate data quality issues
Monitors the outputs of controls and investigates alerts from the control checks

Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM), responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA partners with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA drives innovation, process improvement and automation.

Job Profile Summary

This role is responsible for analyzing data flows, business processes, and operational controls supporting critical enterprise activities. The position applies analytical thinking, process management, risk assessment, and technology capabilities to identify data quality concerns, process inefficiencies, control gaps, and operational risks while supporting efforts to improve data integrity, operational effectiveness, and business outcomes. The role partners with stakeholders across business, risk, finance, operations, technology, audit, and other functions to support issue resolution, process improvement, and informed decision-making.

Responsibilities

Evaluate business processes, data flows, and operational data to identify data integrity and quality concerns, trends, anomalies, risks, and opportunities to improve the accuracy, completeness, and effectiveness of critical business processes and outcomes.
Partner with stakeholders across business, risk, finance, operations, technology, and audit functions to support process evaluations, issue resolution, and improvement initiatives.
Leverage data analytics, reporting, automation, AI-enabled tools, and quantitative techniques to identify trends, communicate insights, and improve business outcomes.
Develop reporting, dashboards, and visualizations that communicate performance metrics, risks, trends, and opportunities to stakeholders.
Support governance, risk management, and continuous improvement initiatives that strengthen controls, enhance process resiliency, and increase operational effectiveness.

Minimum Education Requirements

Bachelor's degree or above in Finance, Accounting, Economics, Business Administration, Information Management, Data Analytics, Statistics, Engineering, or related field

Required Skills

Learning Agility: Quickly assimilates new concepts, technologies, business processes, and organizational priorities while adapting effectively to changing business needs.
Process Excellence: Applies a process-centric mindset to understand end-to-end workflows, identify inefficiencies, evaluate controls, and support operational improvements.
Data & Analytical Thinking: Leverages analytical, quantitative, and problem-solving techniques to evaluate complex data flows, identify risks, uncover insights, and support data-driven decision-making.
Risk & Controls Mindset: Applies risk management principles and sound judgment to identify, assess, and mitigate operational, process, compliance, and data-related risks.
Technology & Innovation: Utilizes data analytics, SQL, automation, AI, GenAI, process analysis, or related technologies to identify issues, improve decision-making, strengthen controls, and increase operational efficiency.
Stakeholder Management & Communication: Strong communication, and stakeholder engagement skills with the ability to work effectively across functions, manage competing priorities, and deliver high-quality results.
Business & Financial Acumen: Demonstrates understanding of financial services, banking, risk management, operations and governance.
Regulated Environment Experience: Experience operating in environments where data quality, risk management, controls, compliance, and operational resiliency are critical to business performance.

Skills