Risk Analysis Specialist I - Military Veterans

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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Overview of Global Risk Analytics

Bank of America has an opportunity for a Risk Analysis Specialist I within our Global Risk Analytics (GRA) function. GRA is a sub-line of business within Global Risk Management (GRM). GRA is responsible for developing a consistent and coherent set of models and analytical tools 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 that its models and analytics address both internal and regulatory requirements, such as quarterly Enterprise Stress Testing (EST), the annual Comprehensive Capital Analysis and Review (CCAR), and the Current Expected Credit Losses (CECL) accounting standard. GRA models follow an iterative and ongoing development life cycle, as the bank responds to the changing nature of portfolios, economic conditions and emerging risks. In addition to model development, GRA conducts model implementation, data management, model execution and analysis, forecast administration, and model performance monitoring. GRA drives innovation, process improvement and automation across all of these activities.

Overview of the Team

Global Markets Risk Analytics (GMRA) is part of Global Risk Analytics (GRA). It responsible for developing, maintaining, and monitoring counterparty credit risk and market risk models. GMRA also develops analytical tools to support regulatory, audit, and internal risk management needs for Global Markets. The role sits within the Prime Clearing Analytics and Data Services (PCADS) - Data Controls & Integrity (DCI) team, and is responsible for ensuring adequate controls and processes exist to validate the firm's traded products activity for the purposes of Credit and Capital calculations. The team is also heavily involved in process re-engineering, automation, and the development of our target state risk repository.

Overview of the Role

We are seeking an experienced Python Software Developer with basic understanding of systems in counterparty credit risk management within major banking institutions. The ideal candidate will play an important role within our compact development team and must possess extensive experience in enterprise software development. The individual will be responsible for contributing to the PCADS projects across all phases of the Software Development Life Cycle (SDLC), including analysis, design, development, unit testing, QA, UAT, and tier-2 production support.

• Design, development, and implementation of automated data integrity controls
• Writing reusable, testable, and efficient Python code.
• Work closely with lead developers to implement Python application architectures and designs.
• Maintain existing applications to support operations.
• Produce documents including design documents, and class diagrams.
• Perform testing with technical peers and functional end users to ensure successful launch of development projects.
• Support ad-hoc operational queries for DCI.
• Promote quality engineering and good coding practices across the company.

Required Education, Skills, and Experience

• BS in Computer Science, Financial Engineering, or a STEM field
• The candidate should possess a robust background in Python and Object Oriented Programming
• 2-5 years' experience in the financial services industry (Large banks, brokers-dealers, hedge funds, or financial/data intermediary)
• Basic proficiency in MS Office suite is critical
• Excellent verbal and written communication skills
• Candidate must be able to manage time sensitive issues, prioritize multiple processes and projects, and articulate thought process for decision-making
• Experience with Data Incident Tracking tools such as JIRA/eDIM
• The candidate must possess a personality that enables cooperative work with others

Desired Skills and Experience

• Proven programming skills (Python, Tableau, SQL, and object-oriented programming)
• Prior experience working in Quartz development in Bank of America in a developer role is a plus
• Basic understanding of traded products in global markets, counterparty credit risk, collateral, netting, and exposures is beneficial

Job Description:
Responsible for performing more complex analysis and is engaged in the development of modeling that maximizes profits and asset growth and minimizes credit and operating losses and other risk exposures. Provides analytical support on various product strategies to ensure company goals are met. Coordinates the production of performance reports senior management. Reviews and analyzes trends in current population distributions and recommends strategies. May participate in or develop more complex program models to extract data and use databases to provide statistical and financial modeling. Analyzes portfolio trends, concerning credit score cutoffs, loss trends, portfolio dynamics, and bureau scoring criteria. Will participate in the rollout of company-wide pilot programs developed as a result of programmed models. Duties primarily include the regular use of discretion and independent judgment. Programming experience and relevant degree or large data experience required.

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