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Quantitative Finance Analyst

3 months ago

Atlanta, Georgia, United States Bank of America Full time

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

As a Quantitative Finance Analyst on the Enterprise Risk Analytics team, your main responsibilities will involve:

Responsible for independently conducting quantitative analytics and modeling projects. Responsible for developing new models, analytic processes or systems approaches. Creates documentation for all activities and works with Technology staff in design of any system to run models developed. 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 driversSupports the planning related to setting quantitative work priorities in line with the bank s overall strategy and prioritizationIdentifies 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/validationSupports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetiteSupports 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 riskWorks closely with model stakeholders and senior management with regard to communication of submission and validation outcomesPerforms statistical analysis on large datasets and interprets results using both qualitative and quantitative approachesSkills:Critical ThinkingQuantitative DevelopmentRisk AnalyticsRisk ModelingTechnical DocumentationAdaptabilityCollaborationProblem SolvingRisk ManagementTest EngineeringData ModelingData and Trend AnalysisProcess Performance MeasurementResearchWritten CommunicationsMinimum Education Requirement: Master s degree in related field or equivalent work experience

Qualifications:

2+ 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, R or other languages

Desired Skills and Experience:
Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning
Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
Experience with data analytics tools (e.g., Alteryx, Tableau)
Demonstrated ability to drive action and sustain momentum to achieve results
Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
Sees the broader picture and is able to identify new methods for doing things
Experience with LaTeX

Shift:1st shift (United States of America)

Hours Per Week: 40