• Snapboard
  • Activity
  • Reports
  • Campaign
Welcome ,

Chat with the recruiter

...Minimize

Hey I'm Online! Leave me a message.
Let me know if you have any questions.

Quantitative Analytics Manager - Financial Crimes

In United States

Save this job

Quantitative Analytics Manager - Financial Crimes   

Click on the below icons to share this job to Linkedin, Twitter!

JOB TITLE:

Quantitative Analytics Manager - Financial Crimes

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Cleveland, OH United States

JOB DESCRIPTION:

ABOUT THE JOB (JOB BRIEF)

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.

ESSENTIAL JOB FUNCTIONS

  • 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

REQUIRED QUALIFICATIONS

  • 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

Position Details

POSTED:

Nov 18, 2022

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16542144310651752

LOCATION:

United States

CITY:

Cleveland, OH

Job Origin:

OORWIN_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Quantitative Analytics Manager - Financial Crimes    Apply

Click on the below icons to share this job to Linkedin, Twitter!

<div><div><p><b>ABOUT THE JOB (JOB BRIEF)</b></p></div><p>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.</p><p></p><div><p><b>ESSENTIAL JOB FUNCTIONS</b></p></div><ul><li>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</li><li>Research, compile and evaluate large sets of data to assess quality and determine suitability for model building</li><li>Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance</li><li>Document model development process and outcomes properly and support model validation and review</li><li>Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives</li><li>Proactively develop and build technical skills and business knowledge, coach and mentor junior members</li><li>Effectively collaborate with compliance, technology, and risk partners; guides, advises, challenges, and influences to drive organizational impact</li><li>Provide strategic consultation and thought leadership to senior level business partners</li></ul><p></p><div><p><b>REQUIRED QUALIFICATIONS</b></p></div><p></p><ul><li>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</li><li>Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions</li><li>Hands-on work experience with statistical coding in SAS and/or Python</li><li>Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing</li><li>In-depth understanding of financial crime regulatory requirements, technology, and data analysis best practices</li><li>Demonstrated project management experience</li><li>Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience</li><li>A credible thought leader that can guide, advise, challenge, and influence at all levels of the organization and drive organizational impact</li></ul></div>


Please wait..!!