Data Science Analyst Visa Sponsorship Jobs in Delaware
Data science analyst roles in Delaware are concentrated around Wilmington's financial and pharmaceutical corridor, with employers like JPMorgan Chase, Bank of America, AstraZeneca, and DuPont consistently filing for work visa sponsorship. The state's proximity to Philadelphia expands the talent market, and the University of Delaware supplies a steady pipeline of candidates into sponsored analytical roles.
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Get Access To All JobsWork Location/Arrangement: This is a hybrid position requiring in-office work four (4) days every week at an M&T office in Buffalo, NY, Bridgeport, CT, Wilmington, DE, Baltimore, MD, Washington, DC, or possibly NY, NY.
If the final candidate is not near one of the above referenced locations, there might be a possibility for a remote arrangement.
Overview:
Provides experienced support in the development and analysis of quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning. Supports more experienced analysts and management in data analysis, model development efforts and ad-hoc analysis as needed. Provides guidance and direction to less experienced personnel as needed.
Primary Responsibilities:
- With experienced skillset, assist in researching and developing quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models and financial instrument valuation methods.
- Prepare, manage and analyze large customer loan, deposit and/or financial data sets for statistical analysis in Structured Query Language (SQL) or similar tool to properly specify and estimate econometric models to understand customer or Bank behavior for purposes of credit, interest rate, liquidity or stressed capital risk management. Understand the context of the Bank’s data and businesses to ensure properly developed models.
- Run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software; communicate results, including graphic and tabular forms, to fellow team members, Treasury management and Bank-wide stakeholders, including the business lines and Risk Management colleagues to demonstrate key risk drivers and dynamics of model output.
- Execute models in production environment; communicate analytical results to Bank-wide stakeholders.
- Track portfolio performance, model performance, campaign tracking and risk strategy results. Incorporate observations and data into existing models to improve predictive results. Identify deviations from forecast/expectations and explain variances. Identify risk and/or opportunities.
- Develop and maintain satisfactory model documentation, including process narratives and performance monitoring guidelines to serve as reference source.
- Provide financial analysis and data support to other groups/departments across the Bank as required. Support engagements with colleagues in Model Risk Management for model validation exercises.
- Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and development and management of predictive statistical models.
- Conduct business in compliance with regulatory guidance including SR (Supervision and Regulation Letters) 10-1, SR 10-6, SR 11-7, Enhanced Prudential Standards, etc. Adhere to applicable compliance/operational/model risk controls and other second line of defense and regulatory standards, policies and procedures.
- 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 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.
- Complete other related duties as assigned.
Scope of Responsibilities:
The position serves as an experienced analyst in the use of statistical programming languages to analyze Bank datasets and development, implementation and maintenance of behavioral models. It is important for the position to communicate with clear narratives, compelling data visualization and technical precision, both in-person and in writing, to enable audiences to understand the analyses and forecasts. The position partners and collaborates with colleagues in related functions, including Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management and business lines to implement and understand models for Bank use. This role is highly technical in nature and requires demonstrated attention to detail, execution and follow-up on multiple initiatives with Treasury and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions is a key factor of success in this role.
Supervisory/Managerial Responsibilities:
Not Applicable
Education and Experience Required:
- Bachelor’s degree and a minimum of 1 years’ proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 5 years’ higher education and/or work experience, including a minimum of 1 years’ proven quantitative behavior modeling experience
- Minimum of 1 years’ on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R)
- Strong Python skills required
- Model development experience required, including familiarity with logistic regression and linear regression
- Minimum of 1 years’ on-the-job experience with data management environment, such as SQL Server Management Studio
- Minimum of 1 years’ experience in managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
Education and Experience 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
- Minimum of 2 years’ statistical analysis programming experience
- Credit model development experience; Consumer portfolio model development experience highly preferred
- One (1) or more years of on-the-job Python programming experience
- Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regression
- Experience in balance sheet management and mathematical modeling of financial instruments offered by banks
- Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management
- Proven track record for being able to work autonomously and within a team environment
- Demonstrated leadership skills
- Strong desire to learn and contribute to a group
Physical Requirements:
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $78,700.00 - $131,100.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Wilmington, Delaware, United States of America
Work Location/Arrangement: This is a hybrid position requiring in-office work four (4) days every week at an M&T office in Buffalo, NY, Bridgeport, CT, Wilmington, DE, Baltimore, MD, Washington, DC, or possibly NY, NY.
If the final candidate is not near one of the above referenced locations, there might be a possibility for a remote arrangement.
Overview:
Provides experienced support in the development and analysis of quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning. Supports more experienced analysts and management in data analysis, model development efforts and ad-hoc analysis as needed. Provides guidance and direction to less experienced personnel as needed.
Primary Responsibilities:
- With experienced skillset, assist in researching and developing quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models and financial instrument valuation methods.
- Prepare, manage and analyze large customer loan, deposit and/or financial data sets for statistical analysis in Structured Query Language (SQL) or similar tool to properly specify and estimate econometric models to understand customer or Bank behavior for purposes of credit, interest rate, liquidity or stressed capital risk management. Understand the context of the Bank’s data and businesses to ensure properly developed models.
- Run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software; communicate results, including graphic and tabular forms, to fellow team members, Treasury management and Bank-wide stakeholders, including the business lines and Risk Management colleagues to demonstrate key risk drivers and dynamics of model output.
- Execute models in production environment; communicate analytical results to Bank-wide stakeholders.
- Track portfolio performance, model performance, campaign tracking and risk strategy results. Incorporate observations and data into existing models to improve predictive results. Identify deviations from forecast/expectations and explain variances. Identify risk and/or opportunities.
- Develop and maintain satisfactory model documentation, including process narratives and performance monitoring guidelines to serve as reference source.
- Provide financial analysis and data support to other groups/departments across the Bank as required. Support engagements with colleagues in Model Risk Management for model validation exercises.
- Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and development and management of predictive statistical models.
- Conduct business in compliance with regulatory guidance including SR (Supervision and Regulation Letters) 10-1, SR 10-6, SR 11-7, Enhanced Prudential Standards, etc. Adhere to applicable compliance/operational/model risk controls and other second line of defense and regulatory standards, policies and procedures.
- 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 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.
- Complete other related duties as assigned.
Scope of Responsibilities:
The position serves as an experienced analyst in the use of statistical programming languages to analyze Bank datasets and development, implementation and maintenance of behavioral models. It is important for the position to communicate with clear narratives, compelling data visualization and technical precision, both in-person and in writing, to enable audiences to understand the analyses and forecasts. The position partners and collaborates with colleagues in related functions, including Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management and business lines to implement and understand models for Bank use. This role is highly technical in nature and requires demonstrated attention to detail, execution and follow-up on multiple initiatives with Treasury and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions is a key factor of success in this role.
Supervisory/Managerial Responsibilities:
Not Applicable
Education and Experience Required:
- Bachelor’s degree and a minimum of 1 years’ proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 5 years’ higher education and/or work experience, including a minimum of 1 years’ proven quantitative behavior modeling experience
- Minimum of 1 years’ on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R)
- Strong Python skills required
- Model development experience required, including familiarity with logistic regression and linear regression
- Minimum of 1 years’ on-the-job experience with data management environment, such as SQL Server Management Studio
- Minimum of 1 years’ experience in managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
Education and Experience 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
- Minimum of 2 years’ statistical analysis programming experience
- Credit model development experience; Consumer portfolio model development experience highly preferred
- One (1) or more years of on-the-job Python programming experience
- Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regression
- Experience in balance sheet management and mathematical modeling of financial instruments offered by banks
- Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management
- Proven track record for being able to work autonomously and within a team environment
- Demonstrated leadership skills
- Strong desire to learn and contribute to a group
Physical Requirements:
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $78,700.00 - $131,100.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Wilmington, Delaware, United States of America
Data Science Analyst Job Roles in Delaware
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Search Data Science Analyst Jobs in DelawareData Science Analyst Jobs in Delaware: Frequently Asked Questions
Which companies sponsor visas for data science analysts in Delaware?
Financial services firms and life sciences companies are the most active sponsors in Delaware. JPMorgan Chase, Bank of America, and Capital One have filed H-1B petitions for data and analytics roles in Wilmington. On the pharma side, AstraZeneca and Incyte have sponsored analysts in their Delaware operations. DuPont, one of the state's longest-standing employers, also has a history of sponsoring technical roles including data science positions.
Which visa types are most common for data science analyst roles in Delaware?
The H-1B is by far the most common visa category for data science analyst positions in Delaware. The role typically qualifies as a specialty occupation because it requires at least a bachelor's degree in a quantitative field such as statistics, computer science, or mathematics. Some candidates also enter on F-1 OPT or STEM OPT extensions before transitioning to H-1B sponsorship through their employer.
Which cities in Delaware have the most data science analyst sponsorship jobs?
Wilmington is where the overwhelming majority of Delaware's sponsored data science analyst roles are posted. It serves as the state's commercial hub, housing headquarters and major offices for financial institutions and pharmaceutical companies. Newark, home to the University of Delaware and a growing tech presence, also sees occasional sponsorship activity. Dover, the state capital, has a smaller but developing analytics sector tied to government-adjacent work.
How to find data science analyst visa sponsorship jobs in Delaware?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify Delaware employers actively hiring data science analysts who need work authorization. Rather than sifting through general job postings that rarely clarify sponsorship status upfront, Migrate Mate surfaces roles where sponsorship is explicitly offered, saving significant time for international candidates targeting Delaware's financial services and life sciences sectors.
Are there any state-specific considerations for data science analysts seeking sponsorship in Delaware?
Delaware's concentration in financial services means many data science analyst roles fall under compliance-heavy environments, which can affect how employers structure job descriptions and degree requirements for H-1B petitions. The state's small size also means the job market is more concentrated than neighboring states, so candidates benefit from targeting specific industry clusters rather than broad searches. The University of Delaware's strong analytics programs also create an active OPT-to-H-1B pipeline worth understanding.
What is the prevailing wage for sponsored data science analyst jobs in Delaware?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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