AML Model Developer

2 weeks ago


Charlotte, North Carolina, United States U.S. Bank Full time

About the Role

At U.S. Bank, we're committed to creating a diverse workforce and fostering an inclusive environment where everyone can thrive. We're seeking a highly skilled Data Scientist to join our Enterprise Financial Crime Compliance team. In this role, you'll play a critical part in developing and implementing machine learning models to enhance our AML/BSA compliance systems.

About the Job Description

This is an individual contributor position that requires strong skills in model documentation, testing, and validation, as well as risk identification and ongoing model monitoring. You'll collaborate with technology developers to ensure models are effectively integrated into our AML systems and stay updated with the latest trends and developments in machine learning and AML compliance.

Responsibilities

  • Develop and implement machine learning models for AML/BSA transaction monitoring
  • Collaborate with technology developers to ensure models are effectively integrated into the Bank's AML systems
  • Stay updated with the latest trends and developments in machine learning and AML compliance to ensure models are effective
  • Analyze large datasets to identify suspicious activity patterns and enhance model accuracy
  • Document model development processes and methodologies in accordance with regulatory and internal standards
  • Participate in the design and testing of new features for AML transaction monitoring systems
  • Assist in non-ML process development including complex data analytics, technology implementation validation, and code automation
  • Work closely with stakeholders to understand business needs and translate them into technical solutions
  • Provide thought leadership and share best practices within the team and broader organization

Requirements and Qualifications

We're looking for a candidate with a strong background in machine learning, including techniques such as supervised and unsupervised learning, neural networks, and natural language processing. Experience with AML/BSA tools and familiarity with financial crimes modeling are also essential. You should be proficient in Python and have excellent problem-solving skills, as well as the ability to work independently and as part of a team.

Salary Range

The estimated salary range for this role is $108,375.00 - $140,250.00 per year, based on experience and qualifications. We offer a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution, and pension (all benefits are subject to eligibility requirements).



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