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KeyBank · 1 day ago

Sr. Data Science Manager - Financial Crimes

Amherst, NY

Full-time

Hybrid

Senior Level

$112K/yr - $210K/yr

5+ years exp

KeyBank is seeking a Senior Data Science Manager to lead a quantitative team focused on financial crime modeling and analytics. The role involves establishing team priorities, developing models, and providing strategic consultation to senior business partners.

Banking

Responsibilities

Oversee a small quantitative team (2-4 direct 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 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

Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives

Proactively coach and develop the team on building technical skills and business knowledge; promote the team and their capabilities to stakeholders

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 / executive level business partners

Qualification

Machine LearningFinancial Crime ComplianceStatistical CodingGenerative AIData AnalysisCloud ComputingSQL/NoSQLData LiteracyCommunicationTeam Leadership

Required

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)/Artificial Intelligence (AI) solutions, with preference given to candidates possessing experience and expertise in Generative AI (GenAI)

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 direct 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 credible thought leader that can guide, advise, challenge, and influence at all levels of the organization and drive organizational impact

Remote work is supported, but relocation to Cleveland, OH or Buffalo, NY is preferred

Ability to influence / impact strategy for data sourcing; can anticipate emerging needs to be incorporated into strategy

Lead discussions about pros/cons of applications with senior leadership

Monitor industry trends and direction of data analysis technologies

Advanced Microsoft Office Suite

SQL/NoSQL

Advanced Python/R/SAS

Understanding of and ability to leverage cloud-based computing

Ability to establish standards and best practices; forecast future modeling tools / techniques

Identify, employ, and evangelize emerging techniques from industry / research

Coach others on data modeling methods / techniques