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-timeJersey City • New Jersey • United StatesJunior💰 $72,000 - $130,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical and problem-solving capabilities, with expertise in data sourcing, data engineering, and risk management principles. Proficient in developing performance reports and managing cross-functional projects while ensuring data quality and compliance with industry standards.

Highest-signal resume keywords

Data EngineeringRisk Management PrinciplesSQLTableauProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data SourcingData WranglingData AnalysisBusiness Requirements Document (BRD)Data Quality ControlData LineagePythonC/C++JavaAdvanced JIRA User

Soft Skills

Analytical SkillsCritical ThinkingProblem-SolvingPresentation SkillsStakeholder Management

Tools & Technologies

TableauOracleHadoopBusiness Intelligence (BI) Tools

Industry Keywords

FinanceRisk ManagementConsumer BankingWealth ManagementTransaction Banking

Tech Stack

Tools & technologies

HadoopJavaOraclePythonSQLTableauC++

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, loss trends, and portfolio dynamics
Support development of databases, queries, reporting, and data production processes
Work with Technology to implement changes supporting ongoing data needs
Develop and execute reporting for Risk and business partners
Provide analytical support for product strategic initiatives across Risk functions and lines of business
Develop performance reports for senior management using data mining and advanced analytical techniques
Respond to complex ad-hoc information requests from internal and external parties
Support cross-functional efforts to remediate data quality issues
Monitor control outputs and investigate control-check alerts
Collaborate with data stewards, data users, data owners, technology teams, architects, and stakeholders 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 using industry-standard methods
Analyze information from multiple sources, reconcile conflicts, and translate high-level and low-level information into coherent requirements
Assess deficiencies against policies, standards, and industry best practices and recommend remediation requirements
Drive solutions for metadata and control-environment challenges
Review technical solution designs and recommend alternatives from a business perspective
Communicate plans, progress, and risks to stakeholders and sponsors

Requirements

What you’ll need

Bachelor's or Master's degree in computer science, systems 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 skills
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, including cross-functional delivery, product marketing, road shows/office hours, and user onboarding
Project management experience
Ability to create concise project plans and manage delivery
Advanced JIRA user
Presentation skills
Business and data analysis skills, including BRDs/DRDs and SQL
Technical skills such as Python are a plus
Data quality/profiling and data lineage awareness
Tableau experience and experience with any BI tool
Finance/risk domain experience
Stakeholder management and communication skills
Familiarity with Trading, Consumer Banking, Wealth Management, or Transaction Banking is desired
Understanding or experience with SQL, C/C++, or Java is desired
Familiarity with databases such as Oracle or Hadoop is desired
Ability to research data technologies, architect data solutions, and validate designs through prototyping is desired
40 hours per week
1st shift in the United States of America

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for physical, emotional, and financial wellness
Opportunities to learn, grow, and build a career
Annual discretionary incentive plan eligibility
Paid time off
Resources and support to make an impact