Data Scientist III (Hybrid - See Job Description for Listed Locations)
M&T Bank
Data Scientist III (Hybrid - See Job Description for Listed Locations)
Job Description
*** Work Arrangement/Location: This is a hybrid position requiring in-office work four days a week and can be based at Buffalo, NY, Bridgeport, CT, Manhattan, NY, Boston, MA, Pittsburgh, PA, Baltimore, MD or Wilmington, DE.
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.
- 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 repository to serve as a source for others.
- Create interactive outputs for business discussions to display 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 analytical 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
Knowledge of the banking industry, particularly key banking regulations (i.e. UDAAP, Fair Lending, SCRA, Privacy, FCRA, etc.)
Prior experience in compliance oversight, auditing or process testing.
Exposure to a variety of database types including SQL Server, Teradata and Snowflake
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
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $85,800.00 - $143,000.00 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 AmericaLocations
- Buffalo, New York, United States
Salary
85,800 - 143,000 USD / yearly
85,800 - 150,150 USD / yearly
Source: Disclosed
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- statisticsintermediate
- data science principlesintermediate
- statistical software and languagesintermediate
- hybrid databases (on premise and cloud)intermediate
- SQL (intermediate)intermediate
- large data set analysisintermediate
Required Qualifications
- 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)
- Experience working with statistics or data science principles (experience)
- Proficiency with pertinent statistical software and languages and tools (experience)
- Experience with various hybrid databases both on premise and in the cloud (experience)
- Intermediate level knowledge of Structured Query Language (SQL) (experience)
- Experience analyzing large data sets (experience)
Preferred Qualifications
- 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)
- Knowledge of the banking industry, particularly key banking regulations (i.e. UDAAP, Fair Lending, SCRA, Privacy, FCRA, etc.) (experience)
- Prior experience in compliance oversight, auditing or process testing (experience)
- Exposure to a variety of database types including SQL Server, Teradata and Snowflake (experience)
- Tactical experience with statistical software and languages and tools with 2-3 years experience with SAS and/or Python (experience)
- Experience with data visualization and business intelligence creating insightful dashboards in tools such as Power BI, Tableau or Looker (experience)
Responsibilities
- Work with large and complex data sets to solve unstructured problems using different analytical and statistical approaches
- 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 repository to serve as a source for others
- Create interactive outputs for business discussions to display 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 analytical 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
- 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
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Answer 10 quick questions to check your fit for Data Scientist III (Hybrid - See Job Description for Listed Locations) @ M&T Bank.
Related Books and Jobs
Data Scientist III (Hybrid - See Job Description for Listed Locations)
M&T Bank
Data Scientist III (Hybrid - See Job Description for Listed Locations)
Job Description
*** Work Arrangement/Location: This is a hybrid position requiring in-office work four days a week and can be based at Buffalo, NY, Bridgeport, CT, Manhattan, NY, Boston, MA, Pittsburgh, PA, Baltimore, MD or Wilmington, DE.
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.
- 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 repository to serve as a source for others.
- Create interactive outputs for business discussions to display 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 analytical 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
Knowledge of the banking industry, particularly key banking regulations (i.e. UDAAP, Fair Lending, SCRA, Privacy, FCRA, etc.)
Prior experience in compliance oversight, auditing or process testing.
Exposure to a variety of database types including SQL Server, Teradata and Snowflake
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
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $85,800.00 - $143,000.00 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 AmericaLocations
- Buffalo, New York, United States
Salary
85,800 - 143,000 USD / yearly
85,800 - 150,150 USD / yearly
Source: Disclosed
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- statisticsintermediate
- data science principlesintermediate
- statistical software and languagesintermediate
- hybrid databases (on premise and cloud)intermediate
- SQL (intermediate)intermediate
- large data set analysisintermediate
Required Qualifications
- 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)
- Experience working with statistics or data science principles (experience)
- Proficiency with pertinent statistical software and languages and tools (experience)
- Experience with various hybrid databases both on premise and in the cloud (experience)
- Intermediate level knowledge of Structured Query Language (SQL) (experience)
- Experience analyzing large data sets (experience)
Preferred Qualifications
- 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)
- Knowledge of the banking industry, particularly key banking regulations (i.e. UDAAP, Fair Lending, SCRA, Privacy, FCRA, etc.) (experience)
- Prior experience in compliance oversight, auditing or process testing (experience)
- Exposure to a variety of database types including SQL Server, Teradata and Snowflake (experience)
- Tactical experience with statistical software and languages and tools with 2-3 years experience with SAS and/or Python (experience)
- Experience with data visualization and business intelligence creating insightful dashboards in tools such as Power BI, Tableau or Looker (experience)
Responsibilities
- Work with large and complex data sets to solve unstructured problems using different analytical and statistical approaches
- 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 repository to serve as a source for others
- Create interactive outputs for business discussions to display 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 analytical 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
- 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
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist III (Hybrid - See Job Description for Listed Locations) @ M&T Bank.
Related Books and Jobs