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M&T Bank Data Scientist III - Branch and ATM Network Planning- Buffalo NY/ Hybrid in Buffalo, New York

OVERVIEW:

Builds systems and models to analyze diverse big data sources to generate insights and solutions for business partners and product enhancement. Develops, tests and validates models that drive business value.

POSITION RESPONSIBILITIES:

  • Work with large and complex data sets to solve unstructured problems using different analytical and statistical approaches for multiple products.

  • Conduct sourcing, ingesting, and cleaning of data sets in preparation for analysis. Ensure data is stable, accounting for data drift in development and production.

  • Build econometric, statistical and machine learning models for various problems inclusive of classification, clustering, pattern analysis, sampling, and simulations.

  • Commit code into model repository to serve as a source for others and promote models into production systems.

  • Participate in the development of champion/challenger models and adjust models accordingly following senior scientist guidance as required.

  • Select and refine models, accounting for performance, reliability and stability metrics and business feedback.

  • Create interactive model outputs for business discussions to display model outcomes, impact and business value under the guidance of more experienced data scientists as required.

  • Use data analysis completed by other team members to identify trends and develop new modeling approaches under guidance of more experienced data scientist.

  • Review own 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 in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management.

  • Promote an environment that supports diversity and reflects the M&T Bank brand.

  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.

  • Complete other related duties as assigned.

NATURE AND SCOPE:

MANAGERIAL/SUPERVISORY RESPONSIBILITY:

None

MINIMUM QUALIFICATIONS REQUIRED:

  • Bachelor’s degree and a minimum of 3 years related experience, or in lieu of a degree, a combined minimum of 7 years higher education and/ or work experience, including a minimum of 3 years related experience

  • Experience working with statistics or data science principles, such as AB testing, sample selection, hypothesis testing, modeling bias.

  • 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)

  • 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

IDEAL QUALIFICATIONS PREFERRED:

  • Masters’ of Science or Doctorate degree in Statistics, Economics, Finance or related field in the quantitative social, physical or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management

  • Experience leveraging econometric/statistical techniques, including time-series analysis, panel data methods and logistic regression

  • Tactical experience with pertinent statistical software and languages and tools

PHYSICAL REQUIREMENTS:

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $82,783.41 - $137,972.36 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.

Location:

Buffalo, New York, United States of America

M&T Bank Corporation is an Equal Opportunity/Affirmative Action Employer, including disabilities and veterans.

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