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Bank Of America Sr Developer - Quantitative Finance Analyst United States, North Carolina, Charlotte 488671754
Job Description:
The Team:
Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are 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 and EIT partner 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 and EIT drive innovation, process improvement and automation.
We are looking for experienced technically minded problem solvers with proven leadership credentials with a desire to work across functional areas to drive the development of next generation tests as well as provide effective challenge to existing business processes and controls.
• Provide leadership, technical acumen, and experience in the development of new tests.
• Think outside the box of current industry standards to develop innovative approaches to testing of operational and compliance risk.
• Pro-actively work with stakeholders across the company to collect requirements, understand business processes including the existing control landscape and determine how to appropriately design tests followed by test implementations to meet the requirements.
• Provide insight and thought leadership into management of testing codebases including enforcement of appropriate review and challenge during development.
• Promote the adoption of industry best practices for test development and execution.
• Pro-actively work with stakeholders across the firm to identify opportunities to improve existing tests/processes and effectively communicate solutions.
• Produce clear and coherent technical documentation for internal and regulatory purposes.
• Ability to effectively govern tests and processes to ensure we meet the highest levels of regulatory expectation.
• Take ownership to deliver results and meet critical deadlines.
• Graduate degree in highly technical discipline
• Common areas of study include but are not limited to: Mathematics, Physics, Economics, Computer Science, Data Science, Operations Research
• 5+ years of relevant work experience or equivalent educational training
• Ability to solving complex problems and handle large data sets
• Proven leadership abilities, working across organizational lines
• Strong programming skills including SQL and Python
• Deep understanding of appropriate software development lifecycle
• Strong technical writing and clear verbal communication skills
• Feels ownership and accountability for delivering high quality work, able to prioritize effectively, adapt, and able to work under pressure and deliver to tight deadlines
• Ability to work independently, multitask and properly prioritize multiple projects
• Curiosity and willingness to develop and work on new ways of testing
• Capable of providing leadership to junior developers
• Experience building automation tooling that is optimized for working with large datasets
• Experience working with structured and unstructured data in various storage solutions
• Experience in operational and compliance risk related testing
• Strong stakeholder engagement skills with ability to work with colleagues in other functions
• Organized, practical and execution focused with some project management experience
• Self-motivated and intellectually curious about both the role, supporting technologies and the wider bank
• Broad understanding of financial markets and products
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
Responsibilities:
- Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
- Leads the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
- Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
- Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
- Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
- Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
- Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches
Skills:
- Critical Thinking
- Quantitative Development
- Risk Analytics
- Risk Modeling
- Technical Documentation
- Adaptability
- Collaboration
- Problem Solving
- Risk Management
- Test Engineering
- Data Modeling
- Data and Trend Analysis
- Process Performance Measurement
- Research
- Written Communications
Minimum Education Requirement:
• Graduate degree in highly technical discipline
• Common areas of study include but are not limited to: Mathematics, Physics, Economics, Computer Science, Data Science, Operations Research
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