• Finance & Accounting
  • Anywhere
  • Salary: $130,000 - 149,999
  • Education: Master’s Degree
  • Years of experience: 2-5
  • Licensures: N/A
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PostMatches By WorkStaff USA

The Quantitative Analytics Manager is primarily responsible for conducting quantitative modeling and analytics of financial crimes, covering all key aspects, i.e. data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring.  Leading critical projects, this role is responsible for owning modeling practices, methods, and techniques as well as for influencing data strategy with a focus on leveraging both current and emerging technologies and applications. The Quantitative Analytics Manager acts as a leader, strategic advisor and credible thought partner to senior level business partners; as well as manages the integration of activities within and across teams, anticipates business needs, recommends solutions that are both effective and efficient, and communicates the right message.

Independently perform a broad range of quantitative works, including model development and ad hoc analytics to address financial crime compliance needs in AML/BSA/OFAC
Research, compile and evaluate large sets of data to assess quality and determine suitability for model building
Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance
Document model development process and outcomes properly and support model validation and review
Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives
Proactively develop and build technical skills and business knowledge, coach and mentor junior members
Effectively collaborate with compliance, technology, and risk partners; guides, advises, challenges, and influences to drive organizational impact
Provide strategic consultation and thought leadership to senior level business partners
Master’s degree (or its equivalent) in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 4 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics
Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions
Hands-on work experience with statistical coding in SAS and/or Python
Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing
In-depth understanding of financial crime regulatory requirements, technology, and data analysis best practices
Demonstrated project management experience
Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience
A credible thought leader that can guide, advise, challenge, and influence at all levels of the organization and drive organizational impact

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