Bank Of America Risk Analysis Specialist II -Wholesale Analytics Operations 

United States, North Carolina, Charlotte 

264040683

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

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

As a member of the Wholesale Risk Analytics Operations team, your main responsibilities will involve:• Manage model execution, results analysis and reporting related to Wholesale Risk models. The Analyst will also work with the implementation team to ensure that this critical function is well controlled.
• Write complex SQL queries to validate production results, integrate results with existing downstream applications and produce reports in format expected by end users.
• Identify, analyze, monitor, and present risk factors and metrics to, and integrate with, business partners.
• Proactively solve challenges with process design deficiencies, implementation and remediation efforts
• Assist Wholesale Operations with SOX implementation,
• Perform operational controls, ensuring consistency and compliance across all functions, including procedures, critical use spreadsheets and tool inventory
• Assist with enhancing overall governance environment within the Operations space
• Partner with the IT team to perform system related design assessments, control effectiveness testing, issue resolution monitoring and supporting the sign-off by management of processes and controls in scope
• Build and maintain strong partnerships with internal and external partners

Depending on skill set, the role may also entail:
o Write Python and/or PySpark code to automate production processes of several risk and loss measurement statistical models. Example of model execution production processes are error attribution, scenario shock, sensitivity, result publication and reporting.
o Work closely with application users, model developers, technology and other business partners to understand and document requirements of production processes to be implemented.o Ensure that software is developed to meet functional, non-functional, and compliance requirements.

Required Skills:

• 2-5 years’ experience preferred
• Basic understanding of Credit Risk
• Bachelor’s degree in statistics, operations research, economics, finance, physics or mathematics
• Experience with Python, SAS, SQL and other related software and hardware
• Experience in data analysis, with strong research and analytical skills
• Fundamental understanding of micro and macroeconomic concepts
• Basic understanding of Credit Risk
• Strong interpersonal and decision-making skills
• Strong Collaboration and Team skills
• Demonstrated problem solving skills
• Effective communicator at all levels with strong oral, written & influencing skills
• Integrates seamlessly across complex set of stakeholders, internal partners, external resources
• Becomes aware and is flexible, adaptive, and proactive
• Knowledge of database and SQL language for Oracle, and Hive/ImpalaDesired Skills:
  • Strong project management (Horizon)
  • Knowledge of Banking and Finance domain and/or experience working with model developers
  • Python programming experience, (numerical programming and data wrangling libraries)
  • Strong troubleshooting and debugging skills in Python
  • Understanding code development process steps using SDLC tools: PyCharm & Git

1st shift (United States of America)