Data Scientist III - Compliance Analytics

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 or analytical solutions for various problems inclusive of classification, clustering, pattern analysis, sampling, and simulations.
Commit code into model repository to serve as a source for others.
Select and refine models/analytical solutions, accounting for performance, reliability and stability metrics and business feedback.
Create interactive outputs for business discussions to display model/analytical solution outcomes, impact and business value under the guidance of more experienced data scientists as required.
Use data analysis 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.

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.

• Produce efficient, automated self-service solutions that empower non-technical stakeholders to derive data-driven insights and conclusions

• Work with business units and compliance groups to ensure consistent understanding of requirements.

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

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.
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)
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 statistical techniques, including time-series analysis, panel data methods and logistic regression predictive modeling, correlation, segmentation, NLP and inferential statistics.
Tactical experience with statistical software and languages and tools with 2-3 years experience with SAS and/or 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 $82,783.41 - $137,972.36 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