Lead Data Scientist – Compliance Analytics

🕒 June 9

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Logo of M&T Bank

M&T Bank

10,000+ employees

Founded 1856

🛡️ Insurance

💼 Consulting

🏦 Banking

Insurance • Consulting • Banking

M&T Bank is a leading regional financial institution that provides a wide range of banking services to personal, business, and commercial clients. Known for its customer satisfaction in mobile banking, M&T Bank offers products and services such as checking accounts, credit cards, mortgages, personal loans, and insurance. Additionally, it provides financial planning through Wilmington Advisors @ M&T. The bank is committed to community engagement, supporting local businesses, multicultural banking, and volunteerism. With a focus on cybersecurity and digital banking solutions, M&T Bank serves its clientele through comprehensive online and mobile services.

📋 Description

• Manages and builds systems of models to analyze diverse big data sources • Manages and participates in developing, testing and validating models that drive business value • Assists with identifying and interpreting insights from data • Direct leadership of assigned data science team • Manage and participate in working with large data sets to solve unstructured problems using different analytical and statistical approaches • Manage the sourcing, ingesting, and cleaning of data sets in preparation for analysis • Ensure data is stable, accounting for complex data drift in development and production • Manage the building of econometric, statistical and machine learning models for various problems • Manage committing of complex coding into model repository • Lead the selection and refinement of models taking into account performance, reliability and stability metrics • Develop model refinement educational materials and deliver related training for data users • Create outputs from multiple models for business discussions • Lead stakeholder meetings to discuss concerns, opportunities and production challenges • Review own and assigned team’s code to ensure it is efficient, accurate, and using best practices • Understand and adhere to the Company’s risk and regulatory standards, policies and controls

🎯 Requirements

• Bachelor’s degree and a minimum of 7 years related experience, or in lieu of a degree, a combined minimum of 11 years higher education and/or work experience, including a minimum of 7 years related experience • Minimum of 2 years managerial, supervisory and/or work leadership experience • Intermediate experience working with multiple statistics and following data science principles such as AB testing, sample selection, hypothesis testing, and modeling bias • Intermediate proficiency with pertinent statistical software and languages and tools • Experience with various hybrid databases both on premise and in the cloud • Intermediate level knowledge of Structured Query Language (SQL) and Not Only Structured Query Language (nSQL) • Expert understanding of modeling techniques such as Bayesian modeling, Classification models, Cluster analysis, Neural Network, Non-parametric methods, and Multivariate statistics • Experience analyzing large data sets.

🏖️ Benefits

• Medical and retirement benefits • Forty hours of paid volunteer time, each year

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