Quantitative Financial Analyst - Consumer Loss Forecasting & Analytics

Bank of America • Charlotte, NC

85d

About The Position

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

Requirements

• Master’s degree in related field or equivalent work experience.
• 2+ years of experience in data analytics, reporting, statistical work, forecasting or quantitative research.
• Experience in Risk, Credit, Collections or Financial Operations with demonstrated track record of generating and communicating insights which improve performance and understanding.
• Track record of driving change & advancing status quo via strategic thinking for analytics and forecasting.
• Programming skills (SQL, Python, R, LaTeX).
• Strong business and financial acumen.
• Attention to detail coupled with ability to simplify the complex.
• Experience in data science and analysis, with excellent analytical skills.
• Demonstrated ability to organize and work collaboratively across multiple teams and functions.
• Strong written/oral communication skills, with the ability to adjust to both technical and executive audience.
• Flexibility to work independently with little supervision and in a complex team environment.

Nice To Haves

• Previous demonstrated strong leadership skills.
• Consumer behavior analytics or risk modeling in a financial institution.
• Experience with CECL/DFAST/CCAR.

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.
• 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 and validation outcomes.
• Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree