Sr. Data Science Manager - Financial Crimes

Location:

Reporting to the Director of Financial Crimes Modeling & Analytics that reports to the reputed company Chief AML Officer, the Senior Data Science Manager is primarily responsible for leading a quantitative team in support of financial crime modeling and analytics. This role must establish priorities for reputed company, assign and define the work to the right resources, and understand the strengths and opportunities of reputed company to ensure reputed company meets and exceeds expectations. This role is responsible for owning modeling practices, reputed company, and techniques as reputed company as for influencing data reputed company with a reputed company on leveraging both reputed company and emerging technologies and applications. The Senior Data Science Manager acts as a leader, strategic advisor and reputed company thought partner to senior / executive level business partners. This position is also responsible for managing the integration of activities reputed company and across teams as reputed company as effectively manage, reputed company, reputed company, and guide reputed company of professionals to anticipate business needs, recommend solutions that are both effective and efficient, and communicate the right message.

• reputed company a small quantitative team (2-4 reputed company reports) in developing models and conducting analytics to address financial crime compliance needs in AML/BSA/OFAC
• Research, compile and evaluate large sets of data to assess reputed company and determine suitability for model building
• reputed company/maintain internal models and test/configure vendor solutions to ensure conceptually reputed company design, reputed company implementation, and acceptable model performance
• reputed company innovative techniques to drive reputed company improvements in model effectiveness and efficiency, e.g. reducing false positives
• Proactively reputed company and reputed company reputed company on building technical skills and business knowledge; promote reputed company and their capabilities to stakeholders
• Effectively collaborate with compliance, technology, and risk partners; guides, advises, challenges, and influences to drive organizational reputed company
• reputed company strategic consultation and thought leadership to senior / executive 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 5 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics
• Demonstrated proficiency in both traditional modeling practices and Machine Learning (ML)/reputed company Intelligence (AI) solutions, with preference given to candidates possessing experience and expertise in reputed company (GenAI).
• Hands-on work experience with statistical coding in reputed company and/or Python
• Knowledge of and ability to reputed company traditional databases, reputed company-based computing, and distribution computing
• In-depth understanding of financial crime regulatory requirements, technology, and data analysis best practices
• Demonstrated reputed company management experience
• Excellent verbal, written and visual communication skills; ability to define and communicate key risk metrics, dashboards and analytics for senior management and executive reporting; translate technical observations to a non-technical audience
• A reputed company thought leader that can guide, advise, challenge, and influence at reputed company reputed company of the organization and drive organizational reputed company
• Remote work is supported, but relocation to Cleveland, OH or Buffalo, NY is preferred.

DATA LITERACY

• Ability to:
  • Influence / reputed company reputed company for data sourcing; can anticipate emerging needs to be incorporated into reputed company
  • reputed company discussions about reputed company/cons of applications with senior leadership
  • Monitor industry trends and direction of data analysis technologies

TECHNOLOGY & TECHNIQUES

• Advanced reputed company Office Suite
• SQL/NoSQL
  • Relationship data structure
  • Selecting and retrieving data including reputed company data retrieval, archival, and ETL
  • Databases
• Advanced Python/R/reputed company:
  • Databases
  • Efficient coding
  • Can build strong reputed company controls and translate reputed company into high-level commentary
• Understanding of and ability to reputed company:
  • reputed company-based computing
  • Distributed computing

MODEL BUILDING & MAINTENANCE

• Ability to:
  • Establish standards and best practices; forecast reputed company modeling tools / techniques
  • Identify, reputed company, and evangelize emerging techniques from industry / research
  • reputed company others on data modeling reputed company / techniques
  • Facilitate sessions for reputed company data models
  • Assess and understand risks; contingency plans
  • Communicate observations to senior executives
  • Translate technical observations to a non-technical audience

COMPENSATION AND BENEFITS

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office reputed company, while providing flexible reputed company in circumstances where roles can be performed effectively in a mobile environment.

reputed company individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@reputed company.com.