Risk Analysis Specialist II

Bank of America

. Support data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses .

Posted 9/18/2026full-timeCharlotte • New Jersey • United StatesJunior💰 $72,000 - $130,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Sourcing, Data Engineering, and Risk Management principles, with strong analytical and problem-solving skills. Proficient in SQL, data modeling, and utilizing BI tools like Tableau to support data-driven decision-making.

Highest-signal resume keywords

Data EngineeringSQL SkillsRisk Management PrinciplesData Quality AwarenessProject Management Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data SourcingData WranglingData ModelingBusiness AnalyticsData Lineage Awareness

Soft Skills

Analytical SkillsCritical ThinkingProblem-Solving SkillsStakeholder ManagementPresentation Skills

Tools & Technologies

JIRATableauOracleHadoopCollibra

Industry Keywords

Finance DomainRisk DomainConsumer BankingWealth ManagementTransaction Banking

Tech Stack

Tools & technologies

ApacheHadoopJavaOracleSQLTableauC++

About the role

Key responsibilities & impact

Support data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses
Review and analyze portfolio trends
Support development of databases and queries to extract data
Support production of data for internal and external reporting
Work with Technology to implement changes supporting ongoing data needs
Develop and execute reporting for Risk and business partners
Analyze portfolio trends, loss trends, and portfolio dynamics
Provide analytical support for product strategic initiatives across Risk functions and lines of business
Participate in development of database production processes and performance reports for senior management
Respond to complex ad-hoc information requests from internal and external parties
Support cross-functional remediation of data quality issues
Monitor control outputs and investigate control-check alerts
Collaborate with data stewards, data users, data owners, and technology teams on strategic data initiatives
Gather information about business processes, data attributes, data sources, controls, and system interfaces
Document processes, procedures, data models, data quality controls, data lineage, and data dictionaries
Analyze information from multiple sources, reconcile conflicts, and abstract detailed information into general understanding
Assess deficiencies against internal policies, standards, and industry best practices; recommend remediation requirements
Partner with technology teams and architects to drive operational excellence and resiliency
Review technical solution designs and recommend alternatives
Communicate plans, progress, and risks to stakeholders and sponsors

Requirements

What you’ll need

Bachelor’s or Master’s 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
Product Management experience
Project Management experience
Ability to create concise project plans
Delivery Management
JIRA advanced user
Presentation skills
Business and Data Analysis skills
Ability to create BRDs/DRDs
SQL skills
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 Trading, Consumer Banking, Wealth Management, or Transaction Banking
Understanding or experience of programming in SQL, C/C++, Java
Familiarity with databases such as Oracle and Hadoop
Ability to research new data technologies, architect data solutions, and prove design approaches through hands-on prototyping
Experience with data modeling for complex data pipelines, data lakes, and data platforms
Experience with data management platforms such as Collibra or open-source frameworks such as Apache Atlas, Amundsen, Datahub, or Marquez

Benefits

Comp & perks

Annual discretionary incentive plan eligibility
Industry-leading benefits
Paid time off
Resources and support for employees
In-office culture with role-specific flexibility