Data Scientist for Advanced Analytics

1 week ago


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

About the Company

U.S. Bank is a leading financial institution 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 Advanced Analytics Development team and contribute to the modernization and enhancement of our AML systems through advanced analytics and machine learning.

About the Role

In this role, you'll develop and implement machine learning models to enhance our AML/BSA compliance systems. You'll need to have 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.

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

Qualifications and Skills

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 and Benefits

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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