Director, Senior Quantitative Finance Analyst, AML Model Validator

Bank of America; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

Bank of America in Charlotte, NC seeks a Senior Quantitative Finance Analyst – Anti-Money Laundering (AML) to conduct independent testing and review of complex AML models and systems. You will lead governance activities, collaborate with modeling teams and regulators, and write technical reports for senior management.

The role requires advanced degrees and strong ML/statistical skills with fluency in Python/SAS/SQL.

Qualifications

• PhD or Masters in a quantitative field.
• Knowledge and 5+ years of experience in building and understanding of Anti-Money Laundering models and systems.
• Strong familiarity with industry practices in AML and up-to-date AML techniques.
• CAMS certification (preferred).
• Fluency in Python, SAS and SQL.
• Excellent written and oral communication skills with stakeholders of varying analytic skill.

Responsibilities

• Perform independent model validation, annual model review, ongoing monitoring report review, required action item review, and peer review.
• Conduct governance activities such as model identification, model approval and breach remediation reviews.
• Provide hands-on leadership for projects pertaining to statistical modeling and ML approaches to challenge and influence project direction.
• Communicate with modeling teams, Front Line Units, internal audit, regulators as needed.
• Write technical reports for distribution to model developers, senior management, audit and regulators.
• Serve as a senior resource on analytic/quantitative modeling techniques used for AML.

Skills

Communication skills

Education

PhD or Masters in a quantitative field

CAMS certification (preferred)

Tools

Python

SAS

SQL

Job description

Enterprise Model Risk Management seeks a Senior Quantitative Finance Analyst – Anti-Money Laundering (AML) to conduct independent testing and review of complex models used to monitor and mitigate money laundering risk. The candidate should exhibit familiarity with industry practices and have knowledge of up-to-date AML techniques. The candidate should be able to provide both thought leadership and hands-on expertise in methodology, techniques, and processes in applying statistical and machine learning models to manage the bank’s AML models and model systems.

The position will be responsible for:

• Performing independent model validation, annual model review, ongoing monitoring report review, required action item review, and peer review.

• Conducting governance activities such as model identification, model approval and breach remediation reviews.

• Providing hands-on leadership for projects pertaining to statistical modeling and machine learning approaches to effectively challenge and influence the strategic direction and tactical approaches of these projects.

• Communicating and working directly with relevant modeling teams and their corresponding Front Line Units; communicating and interacting with the third line of defense (e.g., internal audit) as well as external regulators, as needed.

• Writing technical reports for distribution and presentation to model developers, senior management, audit and banking regulators.

• Acts as a senior level resource or resident expert on analytic/quantitative modeling techniques used for Anti-money laundering.

Required Skills:

• PhD or Masters in a quantitative field such as Mathematics, Physics, Finance, Engineering, Computer Science, Statistics.

• Knowledge and 5+ years of experience in building and understanding of Anti-Money Laundering models and systems

• Strong familiarity with the industry practices in the field and knowledge of up-to-date Anti Money Laundering techniques

• CAMS certification (preferred)

• Fluency in Python, SAS and SQL

• Excellent written and oral communication skills with stakeholders of varying analytic skill and knowledge levels.

Shift:

1st shift (United States of America)

Hours Per Week:

40