Sr Quantitative Finance Analyst - Global Financial Crimes Modeling and Analytics Team
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.
As a part of Global Risk Analytics, Global Financial Crimes Modeling and Analytics is responsible for enterprise-wide financial crime model development and implementation, ongoing performance monitoring and optimization, data usage, and research and development utilizing advanced analytical tools and systems.
As a Sr Quantitative Finance Analyst on the Global Financial Crimes Modeling and Analytics team, your main responsibilities will involve:
- Responsible for independently conducting quantitative analytics and modeling projects.
- Responsible for analytic processes, enhancing model performance monitoring & reporting framework or systems approaches.
- Creates documentation for all activities and works with Technology staff in design of any system to run models developed and key downstream reports.
- Supports 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.
- Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite.
- Supports the 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, validation outcomes & ongoing model performance monitoring.
- 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: Master’s in related field or equivalent work experience.
Qualifications:
- 5 years of experience in model development, statistical work, data analytics or quantitative research, or PhD.
- Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions supported by data.
- Strong Programming skills e.g., R, Python, SAS, SQL, or other languages.
- Strong Data visualization skills e.g., Tableau, R, Python.
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:
- 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 & GFCMA key deliverables.
- 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 model performance outcomes and analysis.
- Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches.
Minimum Education Requirement: Master’s degree in related field or equivalent work experience.
Shift: 1st shift (United States of America)
Hours Per Week: 40
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