Senior Quantitative Modeling Analyst (Financial Crimes)

Usbank; Charlotte (NC); On-site; USD 69,000 - 116,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance

Disability insurance

Parental leave

401(k) and retirement plan

Paid vacation

11 paid holidays

Adoption assistance

Sick and Safe Leave

Job summary

U.S. Bank is seeking a highly skilled statistical modeling professional to develop, validate, test, document, and implement models for monitoring suspicious activity in customer accounts.

You will own existing models and support development of new ones, while communicating performance and limitations to compliance, risk, and technology teams. Candidates should have advanced modeling knowledge and strong programming in SAS, Python, and SQL, plus AML understanding.

Qualifications

• Experience with transaction monitoring or financial crime detection models.
• Advanced statistics and validation methodologies.
• Strong programming skills in SAS, Python, SQL or similar.
• Understanding of AML regulations.
• Ability to explain complex model behavior to non-technical stakeholders.

Responsibilities

• Develop, validate, test, document, and implement complex statistical models for monitoring suspicious activity.
• Own existing models and support development of new models identifying illicit activity.
• Produce model documentation, performance assessments, and monitoring procedures.
• Communicate model performance, limitations, and findings to stakeholders in compliance, risk, and technology.

Skills

SAS

Python

SQL

AML regulations

Statistical modeling

Communication

Education

Bachelor's degree in a quantitative field

MA/MS in a quantitative field

PhD in a quantitative field

Job description

U.S. Bank is seeking a highly skilled statistical modeling professional to develop, validate, test, document, and implement models for monitoring suspicious activity in customer accounts.

You will own existing models and support development of new ones, while communicating performance and limitations to compliance, risk, and technology teams. Candidates should have advanced modeling knowledge and strong programming in SAS, Python, and SQL, plus AML understanding.