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Job Description: 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
Enterprise Independent Testing (EIT) is a sub-line of business within Global Risk Management (GRM) and is responsible for developing a consistent and coherent set of analytical tools and tests for effective risk and capital measurement, management and reporting across Bank of America. EIT 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, EIT drives innovation, process improvement and automation.
This job is responsible for assessing a portfolio of bank processes - including underlying data, flows, and controls - and designing and implementing modular, reusable software solutions to enhance Global Risk Management's (GRM) capabilities in data, analytics and testing. The goal is to deliver timely, efficient, useful, and actionable independent insights into the operational health of these processes across domains and testing portfolios.
Required Qualifications:
Bachelor's degrees or above in fields including but not limited to: Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science (or equivalent work experience)
Qualifications
At least 7 years of relevant experience in software engineering in Quantitative Finance or other relevant industries
Advanced programming skills (e.g. Python) and solid understanding of Software Development Life cycle (SDLC) principles
Proven track record of seamlessly leading and executing enterprise-wide initiatives
Strong ability to document and clearly articulate the rationale and impact of technical solutions to a wide range of audiences
Demonstrated experience in at least three (preferably more) of these following areas:
Leading complex analytical and problem-solving initiatives
Applying advanced quantitative methods to drive innovative solutions to test business processes and relevant data
Deep knowledge of financial services industry and regulatory frameworks
Engineering solutions for large-scale structured and unstructured data sets
Driving process improvements and automation across business and technology functions
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
Shift: 1st shift (United States of America)
Hours Per Week: 40
Pay Transparency details
US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)
Pay and benefits information
Pay range
$125,000.00 - $210,000.00 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.
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