OVERVIEW:

Explores and manipulates data, builds models, and employs other statistical methods to conduct advanced analysis to understand/predict relationships between variables and provide data driven insights to guide strategic business decisions.  

POSITION RESPONSIBILITIES:

• Independently conduct exploratory statistics, mine and profile data to gain insights for use in advance statistical and quantitative analytics.
• Compile and combine data from multiple datasets into one or more datasets for analysis with common programming languages.
• Modify data warehouse as necessary; document and store approved code.  
• Use common programming languages to conduct intermediate data manipulation and analysis with guidance from more senior team members. Track and report performance of portfolios/ campaigns. Identify deviations from expectations and explain variances.
• Conduct intermediate quantitative analysis to understand and quantify business problems leveraging statistical methods.
• Develop simple, but compelling visualizations to explore data.
• Provide guidance to less experienced analysts.
• 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.
• Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis.  Identify risk-related issues needing escalation to management.
• Promote an environment that supports belonging 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.

NATURE AND SCOPE:

MANAGERIAL/SUPERVISORY RESPONSIBILITY:

No supervisory responsibility.

MINIMUM QUALIFICATIONS REQUIRED:

• Bachelor’s degree and a minimum of 3 years of 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
• Familiarity with a common programming language  
• Experience working in large databases

IDEAL QUALIFICATIONS PREFERRED:

• 4 or more years related work experience in data analysis
• Intermediate skills in programming languages such as SQL, SAS, Python, Julia or Java 
• Experience working with a statistical analysis software package
• Experience with one or more cloud databases.
• Experience working within an agile environment

PHYSICAL REQUIREMENTS:

Location