Quantitative Operations Associate

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

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

Line of Business Job Description:

Responsible for independently conducting quantitative analytics and assists in complex modeling projects. Provides development of critical components in E2E model development, analytic processes, or system approaches. Creates documentation for all activities and may work with technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and can influence strategic direction, as well as develop tactical plans.

• Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches.
• Conduct an independent assessment by developing models or building an analytical framework to test AML screening model and other functions of AML high risk detection operations.
• Primary responsibility is to tune parameters or partner with model developers to re estimate model(s) to minimize the false negatives and identify triggers for false-positive Screening alerts to improve accuracy of model inputs, assumptions, methodologies, and model outcomes.
• Assess the model risk management framework of the organization, and controls related to model development, validation, implementation, and ongoing monitoring.
• Effectively manage the ongoing monitoring of the AML screening model by setting performance metrics, acceptable thresholds. Provide insights to the model owner and key stakeholders on the model performance. Engage with model risk management and LOB partners to identify causes when the metrics are in breach.
• Assist in on-boarding new applications / Clients into the Screening platform requiring detailed discussions with various lines of businesses in understanding the nature and type of data received from and assist in data mapping into standard data layout acceptable for Sanctions screening.
• Manage the multiple on-going initiatives from various projects, understand the Screening needs from the cross-LOB projects, provide model or analytical requirements to the projects and track the status of the model development or any analytical support needed for the projects.
• Collaborate with cross-LOB teams to integrate data science solutions into existing AML systems.
• Work with technology teams for requirements / testing and implementing changes to improve / automate processes and stay abreast of industry trends and emerging technologies.
• Communicate work through formal audit templates, repor