
Quantitative Scenario Analyst – Anti-Money Laundering
Are you passionate about combating financial crime and protecting the integrity of our banking system? Do you have a strong background in data analysis and a keen eye for detail? If so, we have a unique opportunity for you to join our team as a Quantitative Scenario Analyst for Anti-Money Laundering at Bank of America. In this role, you will play a crucial role in identifying, analyzing, and mitigating potential money laundering risks through the use of quantitative scenarios. We are looking for a highly motivated individual with a strong understanding of AML regulations and experience in developing statistical models. If you are ready to make a meaningful impact in the fight against financial crime, we encourage you to apply for this position.
- Conduct quantitative analysis and develop statistical models to identify potential money laundering risks within Bank of America's system.
- Collaborate with cross-functional teams to design, develop, and implement quantitative scenarios for AML monitoring.
- Utilize data analysis techniques to identify patterns and trends in financial transactions that may indicate money laundering activity.
- Monitor and analyze large volumes of data to identify suspicious activities and transactions.
- Conduct research and stay updated on AML regulations to ensure compliance with regulatory requirements.
- Proactively identify and report potential AML risks and vulnerabilities within the banking system.
- Work closely with the AML investigation team to provide insights and support in their investigations.
- Develop and maintain relationships with internal stakeholders to gather data and information necessary for scenario development.
- Monitor and evaluate the effectiveness of existing AML scenarios and make recommendations for improvement.
- Participate in training and development programs to continuously enhance knowledge and skills in AML detection and prevention.
- Maintain accurate documentation of all analysis and findings.
- Contribute to the development and implementation of AML risk assessment strategies.
- Communicate complex quantitative analysis and findings to non-technical stakeholders in a clear and concise manner.
- Adhere to ethical and legal standards to ensure the integrity of AML scenarios and data.
- Continuously monitor and assess the AML landscape and make recommendations for process improvements and enhancements.
Excellent Communication And Problem-Solving Skills.
Degree In Mathematics, Statistics, Finance, Or A Related Field.
Strong Understanding Of Anti-Money Laundering Laws And Regulations.
Experience In Data Analysis And Modeling, Preferably In A Financial Institution.
Knowledge Of Statistical Software And Programming Languages Such As Sas, R, Or Python.
Data Analysis
Trend Analysis
Statistical modeling
Financial forecasting
Predictive modeling
Risk assessment
Scenario Analysis
Fraud detection
Compliance monitoring
Pattern Recognition
Aml Regulations
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Quantitative Scenario Analyst – Anti-Money Laundering in New York, NY, USA is $80,000 to $120,000 per year. This may vary depending on factors such as experience, education, and employer. Some top companies in New York that hire for this position include JPMorgan Chase, Citigroup, and Goldman Sachs.
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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.

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