Quantitative Scenario Analyst – Anti-Money Laundering

Are you passionate about utilizing data to combat financial crime? Do you thrive in a fast-paced, dynamic environment? Bank of America is seeking a highly skilled and driven Quantitative Scenario Analyst to join our Anti-Money Laundering team. In this role, you will play a critical role in identifying and mitigating potential financial risks through quantitative analysis and scenario modeling. We are looking for a motivated individual with a strong background in data analysis and anti-money laundering regulations. If you are ready to make an impact and contribute to the safety and security of our financial system, we want to hear from you!

1. Conduct quantitative analysis: Utilize statistical methods and financial data to identify potential financial risks and patterns of suspicious activity.
2. Develop and implement scenario models: Create and maintain scenario models to identify potential areas of risk and assist in risk management strategies.
3. Monitor and analyze data: Regularly review and analyze data to identify any potential red flags or patterns of suspicious activity and escalate to appropriate teams.
4. Ensure compliance with regulations: Stay updated on anti-money laundering regulations and guidelines and ensure compliance with internal policies and procedures.
5. Collaborate with cross-functional teams: Work closely with other teams such as compliance, risk management, and fraud prevention to develop and implement effective strategies for combating financial crime.
6. Proactively identify areas of improvement: Continuously assess and improve current processes and procedures to enhance the effectiveness of anti-money laundering efforts.
7. Present findings and recommendations: Prepare and present reports to senior management and other stakeholders, providing insights and recommendations for mitigating financial risks.
8. Stay informed on industry trends: Monitor and stay updated on industry trends, advancements, and best practices related to anti-money laundering and financial crime prevention.
9. Maintain data integrity: Ensure accurate and reliable data is collected and maintained to support analysis and decision-making.
10. Foster a culture of risk awareness: Educate and train team members on anti-money laundering policies and procedures to promote a culture of risk awareness and compliance.
11. Maintain confidentiality: Handle sensitive information with the utmost discretion and maintain confidentiality in all aspects of the job.
12. Stay organized and meet deadlines: Keep track of multiple projects and tasks, prioritize work effectively, and meet established deadlines.
13. Demonstrate a commitment to Bank of America's mission and values: Uphold the company's mission and values in all aspects of the job, including promoting diversity and inclusion within the team and organization.

According to JobzMall, the average salary range for a Quantitative Scenario Analyst – Anti-Money Laundering in Charlotte, NC, USA is $87,000-$120,000 per year. This may vary depending on the specific job duties, experience level, and employer. Some employers may also offer additional benefits and bonuses.

Bank of America Corp. is a bank and financial holding company, which engages in the provision of banking and nonbank financial services. It operates through the following segments: Consumer Banking, Global Wealth and Investment Management, Global Banking, Global Markets, and Legacy Assets and Servicing. The Consumer Banking segment offers credit, banking, and investment products and services to consumers and small businesses.