Risk Analysis Specialist II
About The Position
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. 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.
Requirements
- 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
- Data Quality/Profiling Awareness
- Data Lineage Awareness
- Business Analytics
- Tableau Experience
- Any BI Tool Experience
- Finance/Risk Domain Experience
- Stakeholder management and Communication Skills.
Nice To Haves
- 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.
- Technical skills (Python etc) is a plus
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
Benefits
- access to paid time off
- resources and support to our employees
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
