Data Scientist Lead

OVERVIEW:
Manages and builds systems of models to analyze diverse big data sources to generate insights and solutions for business partners and product enhancement. 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.

POSITION RESPONSIBILITIES:
Manage and participate in working with large data sets to solve unstructured problems using different analytical and statistical approaches for a single domain.
Manage and participate in sourcing, ingesting, and cleaning of data sets in preparation for analysis, work with data teams to productionize and scale data cleanup process. Ensure data is stable, accounting for complex data drift in development and production.
Manage and participate in the building of econometric, statistical and machine learning models for various problems inclusive of classification, clustering, pattern analysis, sampling, and simulations.
Manage committing of complex coding into model repository to serve as a source for others and promote complex models into production system.
Manage and develop champion/challenger models and adjust models accordingly.
Lead the selection and refinement of models taking into account performance, reliability and stability metrics and business feedback. 
Develop model refinement educational materials and deliver related training for data users.
Guide less experienced data scientists on model development, selection, refinement, measurements, and visualizations and creating consumable model outputs.
Create outputs from multiple models for business discussions to display model outcomes, impact and business value.
Lead stakeholder meetings to discuss concerns, opportunities and production challenges.
Work with more experienced data scientists to develop new research approaches, provide recommendations on how techniques will be adapted based on client needs, and attend meetings with data clients to understand their research questions. 
Review own and assigned team’s code to ensure it is efficient, accurate, and using best practices.
Exercise usual authority of a manager concerning staffing, performance appraisals, promotions, salary recommendations, performance management and terminations.
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite.  Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis.  Identify risk-related issues needing escalation to management.
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.

Specific to Posting:

• Perform complex analysis and judgment based work to support the identification and quantification of compliance risk.  

• Utilize a data driven approach to assess the effectiveness of risk controls, identifying exceptions and investigating root cause. 

• Execute independent assignments within defined timelines with attention to detail and an investigative, quality-first mindset 

MANAGERIAL/SUPERVISORY RESPONSIBILITY:
Indirect supervision - staff of 6-8

MINIMUM QUALIFICATIONS REQUIRED:
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

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 python

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

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
Fluent in econometric/statistical techniques, including time-series analysis, predictive modeling, segmentation, NLP, inferential statistics, panel data methods and logistic regression
Tactical experience with pertinent statistical software and languages and tools with 5-7 years experience with python

Experience with data visualization and business intelligence creating insightful dashboards in tools such as Power BI, Tableau or Looker 

Knowledge of the banking industry, particularly key banking regulations (i.e. UDAAP, Fair Lending, SCRA, Privacy, FCRA, etc.) 

Exposure to a variety of database types including SQL Server, Teradata and Snowflake 

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $115,703.73 - $192,839.55 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation. The range listed above corresponds to our national pay range for this role. The specific pay range applicable to you may vary based on your location.

LocationClanton, Alabama, United States of America