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Quantitative Services Professional-Global Operations
Charlotte, North Carolina;
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:
Responsible for developing quantitative/analytic models and applications in support of the firm's risk management effort. This role focuses on the development of operations/data management policies, strategies and operational guidelines for the organization's various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physics, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. Individual Contributor and reports to Quant Operations Manager
Responsibilities
• The role requires to work closely with the business analysts, business partners and other technology partners to gather requirements as part of process discovery
• Successfully use advanced predictive models and analytics to derive insights from data to implement business strategy and automation
• Assess accuracy and sanity of data sources and implement efficient pre-processing processes
• Author detailed model documentation for Regulatory audit and Model validation. Respond to inquiries from Model Risk Management and other internal controls teams
Required skills:
• Master’s degree or higher in Computer Science, Mathematics, Financial Engineering, Statistics, Economics or related Quantitative field
• 5+ years relevant industry experience and minimum of 2 years developing machine learning models
• Strong technical background and experience working on the model development lifecycle
• Excellent written and verbal communication skills for coordinating with stakeholders
• Self-starter and ability to multitask with tight deadlines and navigate changing priorities in a fast-paced environment
Desired Skills:
• Embraces team collaboration and promotes intellectual discussion
• Vast experience coding for data analysis and model development (SAS, R, Python, etc.)
• Experience using data visualization to present results of data analysis.
• Participate in and drive collaborative efforts to advance tools, technology, and ways of working to better serve an evolving client base.
• Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world.
Skills:
- Analytical Thinking
- Business Intelligence
- Data Modeling
- Data Visualization
- Data and Trend Analysis
- Attention to Detail
- Collaboration
- Data Management
- Data Mining
- Presentation Skills
- Consulting
- Problem Solving
- Risk Management
- Stakeholder Management
- Technical Documentation
Shift:
1st shift (United States of America)Hours Per Week:
40Learn more about this role
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