Senior Quantitative Finance 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. 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!

Job Description :

Team Overview :

Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.

As a part of Global Risk Analytics, Global Financial Crimes Modeling and Analytics is responsible for enterprise-wide financial crime model development and implementation, ongoing performance monitoring and optimization, data usage, and research and development utilizing advanced analytical tools and systems. The Global Financial Crimes Modeling and Analytics team is made up of nine sub-teams. Modeling and Analytics Team are responsible for model inventory management, model development and enhancement, model tuning and optimization, model risk management, and model analysis and incident management :

1) US AML Modeling and Analytics is responsible for development and maintenance of all US AML Feeder models as per acceptable model risk practices and defined performance parameters to meet firm's AML Risk Coverage, while maintaining operational viability.

2) Non-US AML Modeling & Analytics is responsible for development and maintenance of Non-US AML Feeder models to address the regional regulatory guidelines while meeting the bank's AML Risk Coverage. Automates suspicious activity monitoring while optimizing the effectiveness and the efficiencies of our models for the detection of potential threats.

3) Case Generation Modeling & Analytics is responsible for the EP model which consolidates and risk ranks alerts generated from US and Non-US AML detection models and promotes suspicious activity as cases for investigation.

4) Economic Sanction and Screening Modeling & Analytics is responsible for models that detect and prohibit transactions made by individuals or entities that are listed on sanctions watch lists.

5) Ongoing Monitoring Review, Management Information, Analysis and Below-the-Line / Threshold (BTL / BTT) Testing is responsible for periodically substantiating the ongoing fitness of financial crime models in accordance with a model's approved Ongoing Monitoring Plan ("OMP"). Ongoing Model Monitoring Reports ("OMRs") assess environmental changes, model limitations, assumptions, process verification and outcomes analysis for each model. OMRs summarize trends in key metrics and provide critical analysis of model performance with respect to metric thresholds; identify threshold breaches and document remediation plans. In addition, the ongoing monitoring process includes the inline monitoring activities performed between reporting cycles, the results of those activities, and any escalations during the period. The team is also responsible for management information design and implementation, investigations forecasting, and BTL / BTT framework design and oversight.

6) Engineering, Data & Analytics is responsible for model development and testing platforms, model production and delivery, model data framework, key business elements, and specialized and complex analytics.

7) Research and Development is responsible for future thinking concepts, innovation coordination, tools and technique assessment, artificial intelligence oversight, and vendor assessment oversight.

8) Program Management & Regulatory is responsible for overseeing cross-functional initiatives and providing project management support to deliver timely execution of GFCMA's book of work, strategic initiatives, and critical activities in support of regulatory and audit deliverables.

9) Business Management & Control is responsible for Strategy, Governance Oversight and Control, Resource Management, Process Excellence, Issue Management and COO function.

Role Overview :

As a Sr Quantitative Finance Analyst on the Global Financial Crimes Modeling and Analytics team, your main responsibilities will involve :

• Responsible for leading the development of Case Generation AML model development.
• Support AML Modeling with Ad-hoc Analytics, Distribution Analysis, Sensitivity Analysis
• Support GFC with additional data analytics for drafting Business Requirement Document
• Lead analytical support for various AML interim compensating control initiatives
• Conduct and support below-the-threshold sampling

Main Responsibilities :

Skills :

Minimum Education and / or Experience Requirement :

Qualifications :

Desired Skills and Experience :

Shift :

1st shift (United States of America)

Hours Per Week : 40