Sr Quantitative Fin Analyst

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!

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

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 degree in related field or equivalent work experience

Senior Quantitative Financial Analyst – Client Financial Health Research & Development

Job Description:
What would you like the power to do?
Bank of America’s Global Risk Analytics (GRA) organization has a high impact opportunity for a Senior Quantitative Financial Analyst within its Consumer Loss Forecasting (CLF) team.
The GRA group is a quantitative group which delivers models, tools, and analysis needed to effectively manage Risk and Capital. The CLF team provides insights via credit loss forecasts and related portfolio, model and forecast analytics on Bank of America’s approximately $500 billion consumer loan portfolio (including Mortgages, Credit Cards, and Auto loans). The Client Financial Health (CFH) team within CLF leverages the power of BAC data to develop innovative and holistic approaches for consumer risk management, providing improved insights in changing or uncertain economic environments. The team conducts in-depth research of a wide range of topics and derive unique metrics from an internally developed research data mart. Meanwhile CFH team collaborates with functions across the bank to identify customer risks, enhance GRA’s analytical capabilities and provide contents on macro-economic trend reports that are widely viewed and quoted by media outlet. The right candidate will be someone who has the intellectual curiosity,  passionate about seeking new and innovative ways of risk identification and assessment.

Responsibilities include:
• Be proactive in terms of coming up with new topics to research as well as development of new methodology in the areas of consumer customer behavior research and risk identification
• Conduct in-depth analysis to map out customers’ financial profile and understand their financial behavior
• Differentiate abnormal from normal behavior, identify true stress signals/emerging risks
• Discover new stress signals/risk differentiators/early default indicator to be leveraged in more effective portfolio credit monitoring and to inform model development efforts
• Research and identify sources/root causes of customer stress, assess if model adequately captures risks associated with these uncertainties and account for such risk as needed through an overlay

Other responsibilities:
• Identify needs and requirements from the Consumer Loss Forecasting teams to improve the group’s ability to generate insights and understanding of portfolio risk, model accuracy, and forecast reasonability
• Identify new topics for analytical inquiry
• collaborate across teams to ensure need fulfillment
• Partner with functions across the bank such as BofA Institute to publish research insights on macro-economic trendsRequired Skills
• Experience in Credit, Market, or Economic Analysis with a demonstrated track record of generating and communicating insights which improve performance and understanding
• 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
• Strategic thinker that can understand complex business challenges and potential solutions
• 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 audiences
• Flexibility to work both independently with little supervision and in a complex team environment
• Strong knowledge and proficiency with technical tools such as SQL, Tableau ,Python, SAS
• Solid knowledge and experience with large data platforms such as Teradata, Hadoop etc with experience wrangling with large data and generating insights
• Proficient in data management tools and analysis routine such as DQ, access control, privacy etc.
• Minimum of 5 years of relevant experience

Desired Skills:
• Self-starter with strong sense of intellectual curiosity
• Consumer behavior analytics in a financial institution
• Experience with machine learning

Shift:

1st shift (United States of America)

Hours Per Week: 

40