Risk Analysis Specialist II

Socket.dev; Jacksonville (NC); On-site; USD 110,000 - 150,000; Full time

Job summary

Bank of America is seeking an experienced data analytics professional to support risk reporting, data requests, and dashboard development. You will analyze portfolio trends, build complex databases, and produce automated reporting solutions using SQL, Python, and BI tools.

The role requires delivering clear, well-documented analyses to technical and non-technical audiences, while ensuring data governance and quality across enterprise systems.

Qualifications

• Bachelor's degree in a quantitative field.
• 3+ years of analytics, BI, data management, risk analytics, compliance, or related functions.
• Ability to work independently with minimal supervision.
• Strong analytical, quantitative, and problem-solving skills.
• Experience gathering requirements and translating to technical solutions.
• Experience drafting technical and process documentation and business requirements.
• Strong written and verbal communication skills.
• Ability to manage multiple priorities and meet deadlines.
• Attention to data quality.

Responsibilities

• Supports development and execution of reporting to identify and manage risk.
• Analyzes trends and supports data design, portfolio trends, loss trends, and portfolio dynamics.
• Provides analytical support on product initiatives affecting multiple Risk functions.
• Develops database production processes and performance reports using data mining and analytics.
• Responds to complex ad-hoc information requests from internal and external parties.
• Remediates data quality issues in cross-functional efforts.
• Monitors control outputs and investigates alerts.
• Develops dashboards and reporting frameworks using Power BI, Tableau, SQL, Python, Alteryx, SAS.
• Extracts, transforms, validates, and analyzes data from enterprise sources including SQL Server and Oracle.
• Gathers business requirements and drafts technical, solution, and process documentation.
• Transforms complex datasets into insights, trends, metrics, and recommendations.
• Designs, develops, and automates recurring reporting processes.
• Performs trend, root-cause, forecasting, capacity analyses and performance measurements.
• Partners with stakeholders to develop analytical solutions that support strategic objectives.
• Performs data validation, QA, and reconciliation for governance compliance.
• Uses Bitbucket for source control and deployment support.
• Maintains documentation and controls for operational sustainability.

Skills

SQL

Power BI

Tableau

Python

Alteryx

Data Visualization

Data Mining

Risk Analytics

Data & Trend Analysis

Reporting Automation

Data Quality Management

Stakeholder Management

Education

Bachelor's Degree in Data Analytics, CS, IS, Math, Stats, Finance, Economics, Engineering

Tools

Bitbucket

Microsoft SQL Server

Oracle Database

SAS

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 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.

The successful candidate will independently manage projects from requirements gathering through implementation, leveraging data from multiple enterprise systems to develop dashboards, reports, automated processes, and analytical solutions. This position requires strong analytical thinking, technical expertise, attention to detail, and the ability to consistently meet deadlines in a fast‑paced environment.

The role is expected to communicate complex data and analytical results in a clear and concise manner to both technical and non‑technical audiences while maintaining high standards for data quality, governance, and documentation.

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


• Develop, maintain, and enhance analytical solutions, dashboards, and reporting frameworks using Power BI, Tableau, SQL, Python, Alteryx, and SAS.


• Extract, transform, validate, and analyze data from multiple enterprise data sources, including Microsoft SQL Server and Oracle databases.


• Independently gather business requirements and draft technical requirements, solution documentation, business rules, and process documentation.


• Transform complex datasets into meaningful insights, trends, metrics, and recommendations that support business and risk management decisions.


• Design, develop, and automate recurring reporting processes to improve efficiency, accuracy, and scalability.


• Conduct trend analysis, root-cause analysis, forecasting support, capacity analysis, and performance measurement activities.


• Partner with business stakeholders to understand reporting needs and develop analytical solutions that support strategic objectives.


• Perform audit-level data validation, quality assurance, and reconciliation procedures to ensure data integrity and compliance with governance standards.


• Utilize Bitbucket for source code management, version control, and deployment support.


• Maintain clear documentation and process controls to support operational sustainability, audit readiness, and business continuity.


• Effectively manage multiple priorities and deliver projects within established timelines.


• Present analytical findings and recommendations to management and business partners.


• Identify opportunities for process improvement, automation, and enhanced analytical capabilities.

Required Qualifications

• Bachelor's Degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, Finance, Economics, Engineering, or a related quantitative field.


• 3+ years of experience in analytics, business intelligence, data management, risk analytics, financial crimes, compliance, or related analytical functions.


• Demonstrated ability to work independently with minimal supervision.


• Strong analytical, quantitative, and problem-solving skills.


• Proven experience gathering business requirements and translating them into technical solutions.


• Experience drafting technical documentation, process documentation, and business requirements.


• Strong verbal, written, and presentation skills.


• Ability to communicate complex analytical concepts to technical and non-technical audiences.


• Ability to manage multiple priorities and consistently meet deadlines.


• Strong attention to detail and commitment to data quality.

Skills

• Attention to Detail


• Business Intelligence


• Data Mining


• Data and Trend Analysis


• Risk Analytics


• Risk Management


• Adaptability


• Collaboration


• Continuous Improvement


• Data Visualization


• Project Management


• Business Acumen


• Issue Management


• Regulatory Relations


• Stakeholder Management


• Technical Documentation


• Critical Thinking


• Requirement Gathering


• Process Improvement


• Quality Assurance


• Executive Communication


• Continuous Improvement


• Time Management

Required Technical Skills

Advanced

• SQL


• Power BI


• Tableau


• Python


• Alteryx

Intermediate to Advanced

• Microsoft SQL Server


• Oracle Database


• SAS


• Bitbucket


• Data Modeling


• Data Visualization


• Reporting Automation


• Business Intelligence


• Data Quality Management

Preferred Qualifications

• Experience within Financial Crimes, AML, Fraud, Compliance, Risk Management, or Banking Operations.


• Experience supporting highly regulated or audit-focused environments.


• Experience developing executive-level dashboards and performance scorecards.


• Knowledge of forecasting, workforce planning, capacity planning, or operational performance reporting.


• Experience working with Agile project methodologies.


• Knowledge of machine learning, predictive analytics, or statistical modeling techniques.


• Experience supporting regulatory examinations and audit reviews.

Shift

1st shift (United States of America)

Hours Per Week

40