Risk Analysis Specialist II

Posted 13 Days Ago
Be an Early Applicant
2 Locations
In-Office
72K-131K Annually
Junior
Big Data • Fintech • Mobile • Payments • Financial Services • Data Privacy
The Role
Supports risk data and technology initiatives through portfolio and loss trend analysis, reporting, data modeling, database development, data quality remediation, and control monitoring. Collaborates with data stewards, business stakeholders, architects, and technology teams to document processes, data lineage, controls, and requirements; identify deficiencies; recommend solutions; and support risk management, regulatory reporting, and operational resiliency.
Summary Generated by Built In

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!

Job Description:
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. 

This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, and Technology Teams to understand and assess their data, processes, and technology to support strategic data initiatives, remediate deficiencies, and drive business requirements. 

  • Consult with data stewards, process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data attributes and data sources, control features, interfaces with other systems required.

  • Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry standard methods including business process descriptions, use cases, scenarios, diagrams, flow charts, etc.

  • Analyze information gathered from multiple sources, reconcile conflicts, segment high-level information into details, and abstract up from low-level information to a general understanding.

  • Assess and identify deficiencies against internal policies and standards or industry best practices, providing formal recommendations and requirements to remediate.

  • Collaborate and partner with technology teams, architects, and other key stakeholders to drive solutions which provide ongoing operational excellence and resiliency to metadata and control environment challenges.

  • Review and provide input to technical solution designs from a business point of view and recommend alternatives.

  • Communicate plans, progress and risks appropriately to the stakeholders and sponsors.

Required Skills:

  • Bachelors or Masters 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

  • Experience in Product Management: Ability to visualize functionality within a product, work with cross functional teams to deliver, market the product, create Road Shows/Office Hours, and onboard the users

  • Experience in Project Management

  • Create concise project plans

  • Delivery Management

  • JIRA advanced user

  • Presentation Skills

  • Business and Data Analysis Skills

  • Create BRDs/DRDs

  • SQL Skills 

  • Technical skills (Python etc) is a plus

  • Data Quality/Profiling Awareness

  • Data Lineage Awareness

  • Business Analytics

  • Tableau Experience

  • Any BI Tool Experience

  • Finance/Risk Domain Experience

  • Stakeholder management and Communication Skills.

Desired Skills:

  • Familiarity with one of the following areas – Trading, Consumer Banking, Wealth Management, Transaction Banking

  • Understanding or experience of programming in SQL, C/C++, Java

  • Familiarity with databases, such as Oracle, Hadoop, etc.

  • Ability to research new data technologies, architect novel data solutions for business problems and prove design approach through hands-on prototyping.

  • Experience with data modeling for complex data pipelines, data lake and data platforms.

  • Experience with data management platform such as Collibra (preferred) or understanding of open-source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez etc.

Skills:

  • Attention to Detail

  • Business Intelligence

  • 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

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - NJ - Jersey City - 525 Washington Blvd (NJ2525)

Pay and benefits information

Pay range$72,000.00 - $130,700.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Skills Required

  • Bachelor’s or master’s degree in computer science, systems analysis, information systems, or a related field
  • 1–3+ years of experience in data sourcing, data wrangling, data engineering, or a similar role
  • Strong process and systems analysis, design, and documentation skills
  • Strong analytical, critical-thinking, and problem-solving skills
  • Ability to manage tight deadlines and adapt to changing requirements
  • Understanding of risk management and data management principles
  • Product management experience, including cross-functional delivery and user onboarding
  • Project management experience and ability to create concise project plans
  • Delivery management experience
  • Advanced JIRA user proficiency
  • Presentation, stakeholder management, and communication skills
  • Business and data analysis skills
  • Experience creating business and data requirements documents
  • SQL skills
  • Data quality, profiling, lineage, and business analytics awareness
  • Tableau or other business intelligence tool experience
  • Finance or risk domain experience
  • Technical skills such as Python
  • Familiarity with trading, consumer banking, wealth management, or transaction banking
  • Programming experience in SQL, C, C++, or Java
  • Familiarity with Oracle, Hadoop, or similar databases
  • Data modeling experience for complex data pipelines, data lakes, or data platforms
  • Experience with Collibra or related data management platforms and metadata frameworks
  • Ability to research data technologies and prototype data solutions

Bank of America Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bank of America and has not been reviewed or approved by Bank of America.

  • Healthcare Strength — Health coverage is described as comprehensive, with medical, dental, vision, virtual care via Teladoc, wellness programs, and specialized support for cancer and menopause. Wellness credits and an always‑on EAP with in‑person sessions add to the depth of care.
  • Parental & Family Support — New parents can access up to 26 weeks of leave, including 16 weeks fully paid for eligible teammates, alongside back‑up child and adult care. Family‑building resources and reimbursements (e.g., fertility, adoption, surrogacy) and a dedicated Life Event Services team extend support across life stages.
  • Equity Value & Accessibility — Broad‑based equity through the Sharing Success program, including $1B in stock to nearly all non‑executive employees in January 2026, is intended to foster an ownership mindset. Stock awards (including RSUs) are a recurring component that aligns employees’ interests with shareholders.

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The Company
HQ: Charlotte, NC
208,000 Employees
Year Founded: 1784

What We Do

We make financial lives better for our clients and our communities through the power of every connection. Our employees are at the heart of this purpose, and are key to driving responsible growth. Every day, across the globe, our employees bring a commitment to our purpose and to driving responsible growth by living our values: deliver together, act responsibly, realize the power of our people and trust the team. A key aspect of driving responsible growth is doing so in a sustainable manner, a critical pillar of which is being a great place to work for our teammates.

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