Quantitative Finance Analyst
Bank of America
Charlotte - United States
S: Competitive
Job description
This position is in the Scenario Validation and Tuning team of the Global Financial Crimes Compliance - Financial Intelligence Unit.
The candidate is responsible for developing and validating quantitative models, applications in support of the firm's strategic efforts to mitigate money laundering and terrorist financing risk.
The candidate should be able to collaborate with AML Subject Matter Experts, develop and enhance methodologies of detecting money laundering, scanning Economic Sanction transactions and identifying the other suspicions patterns, validate and tune current models and scenarios through data analysis and intelligence discovery, both on an ad hoc or recurring basis.
The candidate should have a thorough grasp of bank data, understand the content and assumptions underlying these data sources, possess a strong knowledge of extraction, transformation and loading data from different operating systems, and is required to have a constant eye for data quality and consistency.
The successful candidate must be able to come up with an idea, plan a course of action, execute the plan in a reasonable amount of time, and deliver results in a thorough and organized presentation. Teamwork is essential — the ability to function effectively in a cooperative environment is a requirement.
Qualifications
Required Skills:
2+years experience with SAS, SQL databases, data warehousing and business intelligence tools.
Master degree in Statistics, Mathematics, Operational Research or Econometrics.
Understanding of financial services and products, analytic experiences in AML.
Must have strong problem solving skills, be able to work on multiple project at a time.
Proficient in Microsoft Office applications (i.e. Word, Excel, PowerPoint, Project, and Access).
Must be a self-motivated worker who is comfortable and effective working with varying levels of guidance.
Candidate must demonstrate a combination of leadership, business acumen, quantitative modeling and analysis skills, strategic and creative thinking and satisfactory written and oral communications skills.
Desired Skills:
Matlab