Finance Associate Visa Sponsorship Jobs in Connecticut
Connecticut's finance sector spans major insurance companies in Hartford, asset managers in Greenwich, and global banks with regional offices across Stamford. Finance associates with international backgrounds find sponsorship opportunities across these hubs, particularly in financial analysis, fund accounting, and risk roles at firms with established H-1B visa sponsorship histories.
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Career area
Financial Planning & Analysis
Position Type
Location
200 Elm Street, Stamford, CT 06902, United States
Job ID
R26_0000000612
If you’re looking for a meaningful career, you’ll find it here at Webster. Founded in 1935, our focus has always been to put people first—doing whatever we can to help individuals, families, businesses, and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, and Excellence are Webster’s values that set us apart as a bank and as an employer.
Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!
The role involves gathering and understanding FP&A business requirements; Webster's data systems and tools; designing coding and maintaining data workflows; anticipating and resolving data challenges; user-friendly reports and dashboards; and clearly communicating results. The individual needs to collaborate with IT, Data Team, and LoB partners in developing data workflows, data analysis, and reporting. The scope includes working across one or more of our main verticals: R&D, Quarterly Production, and/or Credit Scorecards. The Quant Engineer role is right for you if you're a "hands-on" coder and analyst, who takes ownership and puts the business first.
Job Description Summary
If you’re looking for a meaningful career, you’ll find it here at Webster. Founded in 1935, our focus has always been to put people first, doing whatever we can to help individuals, families, businesses, and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, and Excellence are Webster’s values that set us apart as a bank and as an employer.
Come join our Financial Planning & Analysis (FP&A) team, where you can expand your career potential, benefit from robust development opportunities, and enjoy meaningful work. We are seeking a Director, Quant Engineer, Finance Analytics to serve as a key technical leader responsible for designing, developing, and maintaining data workflows, analytical solutions, and reporting capabilities that support critical FP&A initiatives.
This role requires a hands-on engineer and analyst who can effectively partner with Finance, IT, Data Management, Risk, and business stakeholders to translate business requirements into scalable data and analytics solutions. The successful candidate will leverage Webster’s data systems and tools to support key functions including Research & Development (R&D), Quarterly Production, and Credit Scorecards while driving innovation, automation, and operational excellence across the FP&A organization.
Primary Responsibilities
- Gather, analyze, and document FP&A business requirements and translate them into scalable analytical and technical solutions.
- Design, develop, implement, and maintain robust data workflows supporting financial planning, forecasting, reporting, and credit analytics.
- Lead the development, implementation, and maintenance of CECL credit loss models supporting regulatory reserving, stress testing, and underwriting activities.
- Personally participate in coding, testing, deployment, and maintenance of analytical models, workflows, and production processes.
- Develop deep expertise in Webster’s data platforms, systems, tools, and reporting environments.
- Partner with IT, Data Management, Finance, Risk, and business stakeholders to develop data architectures, workflows, and reporting solutions.
- Create intuitive reports, dashboards, and data visualizations that enable effective decision-making across the organization.
- Anticipate, identify, and resolve data quality, workflow, and operational challenges impacting model and reporting processes.
- Maintain comprehensive workpapers and development documentation supporting governance, audit, validation, and regulatory requirements.
- Author technical documentation detailing model design, development, testing, implementation, and ongoing enhancements.
- Effectively communicate analytical findings, technical concepts, and business insights to both technical and non-technical audiences.
- Lead and/or participate in discussions with Executive Management, Model Risk Management, Audit, Regulatory, and cross-functional project teams.
- Drive continuous improvement initiatives by identifying opportunities to automate processes and enhance analytical capabilities.
Required Skills & Experience
- 10+ years of software engineering, data engineering, analytics, or quantitative modeling experience within a commercial bank or financial institution.
- Strong experience working with complex relational databases and large-scale data structures using Oracle, SQL, or similar technologies.
- Advanced proficiency in Python, SAS, and/or R programming languages.
- Experience designing, implementing, and maintaining efficient and scalable data workflows.
- Experience with workflow orchestration tools such as Apache Airflow or similar platforms.
- Strong understanding of software development lifecycle methodologies, coding standards, testing frameworks, and deployment practices.
- Experience building analytical solutions supporting financial, credit risk, forecasting, or reporting functions.
- Knowledge of commercial and consumer banking products, processes, and operations.
- Strong analytical, problem-solving, and critical-thinking capabilities.
- Demonstrated ability to manage multiple priorities and deliver high-quality results in a fast-paced environment.
- Excellent written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
- Strong attention to detail and commitment to data quality and accuracy.
Preferred Skills & Experience
- Experience supporting CECL, stress testing, underwriting, loss forecasting, or credit risk analytics functions.
- Knowledge of dashboarding and reporting tools such as Tableau, Qlik Sense, or similar business intelligence platforms.
- Experience supporting model governance, validation, audit, and regulatory review processes.
- Strong understanding of financial planning and analysis processes within a banking environment.
- Experience developing enterprise-scale data platforms and analytical solutions.
- Proven ability to collaborate effectively across Finance, Risk, IT, Data Management, and business organizations.
- Strong project leadership and stakeholder management skills.
- Experience driving process automation and workflow optimization initiatives.
- Familiarity with model risk management frameworks and regulatory expectations.
Education
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Finance, Economics, or a related quantitative field required.
- Master's degree in a quantitative discipline preferred.
- Equivalent combinations of education, technical training, and relevant professional experience will be considered.
The estimated salary range for this position is $150,000 USD to $170,000 USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.
Webster Financial Corporation and its subsidiaries (“Webster”) are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.
Job Details
Career area
Financial Planning & Analysis
Position Type
Location
200 Elm Street, Stamford, CT 06902, United States
Job ID
R26_0000000612
If you’re looking for a meaningful career, you’ll find it here at Webster. Founded in 1935, our focus has always been to put people first—doing whatever we can to help individuals, families, businesses, and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, and Excellence are Webster’s values that set us apart as a bank and as an employer.
Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!
The role involves gathering and understanding FP&A business requirements; Webster's data systems and tools; designing coding and maintaining data workflows; anticipating and resolving data challenges; user-friendly reports and dashboards; and clearly communicating results. The individual needs to collaborate with IT, Data Team, and LoB partners in developing data workflows, data analysis, and reporting. The scope includes working across one or more of our main verticals: R&D, Quarterly Production, and/or Credit Scorecards. The Quant Engineer role is right for you if you're a "hands-on" coder and analyst, who takes ownership and puts the business first.
Job Description Summary
If you’re looking for a meaningful career, you’ll find it here at Webster. Founded in 1935, our focus has always been to put people first, doing whatever we can to help individuals, families, businesses, and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, and Excellence are Webster’s values that set us apart as a bank and as an employer.
Come join our Financial Planning & Analysis (FP&A) team, where you can expand your career potential, benefit from robust development opportunities, and enjoy meaningful work. We are seeking a Director, Quant Engineer, Finance Analytics to serve as a key technical leader responsible for designing, developing, and maintaining data workflows, analytical solutions, and reporting capabilities that support critical FP&A initiatives.
This role requires a hands-on engineer and analyst who can effectively partner with Finance, IT, Data Management, Risk, and business stakeholders to translate business requirements into scalable data and analytics solutions. The successful candidate will leverage Webster’s data systems and tools to support key functions including Research & Development (R&D), Quarterly Production, and Credit Scorecards while driving innovation, automation, and operational excellence across the FP&A organization.
Primary Responsibilities
- Gather, analyze, and document FP&A business requirements and translate them into scalable analytical and technical solutions.
- Design, develop, implement, and maintain robust data workflows supporting financial planning, forecasting, reporting, and credit analytics.
- Lead the development, implementation, and maintenance of CECL credit loss models supporting regulatory reserving, stress testing, and underwriting activities.
- Personally participate in coding, testing, deployment, and maintenance of analytical models, workflows, and production processes.
- Develop deep expertise in Webster’s data platforms, systems, tools, and reporting environments.
- Partner with IT, Data Management, Finance, Risk, and business stakeholders to develop data architectures, workflows, and reporting solutions.
- Create intuitive reports, dashboards, and data visualizations that enable effective decision-making across the organization.
- Anticipate, identify, and resolve data quality, workflow, and operational challenges impacting model and reporting processes.
- Maintain comprehensive workpapers and development documentation supporting governance, audit, validation, and regulatory requirements.
- Author technical documentation detailing model design, development, testing, implementation, and ongoing enhancements.
- Effectively communicate analytical findings, technical concepts, and business insights to both technical and non-technical audiences.
- Lead and/or participate in discussions with Executive Management, Model Risk Management, Audit, Regulatory, and cross-functional project teams.
- Drive continuous improvement initiatives by identifying opportunities to automate processes and enhance analytical capabilities.
Required Skills & Experience
- 10+ years of software engineering, data engineering, analytics, or quantitative modeling experience within a commercial bank or financial institution.
- Strong experience working with complex relational databases and large-scale data structures using Oracle, SQL, or similar technologies.
- Advanced proficiency in Python, SAS, and/or R programming languages.
- Experience designing, implementing, and maintaining efficient and scalable data workflows.
- Experience with workflow orchestration tools such as Apache Airflow or similar platforms.
- Strong understanding of software development lifecycle methodologies, coding standards, testing frameworks, and deployment practices.
- Experience building analytical solutions supporting financial, credit risk, forecasting, or reporting functions.
- Knowledge of commercial and consumer banking products, processes, and operations.
- Strong analytical, problem-solving, and critical-thinking capabilities.
- Demonstrated ability to manage multiple priorities and deliver high-quality results in a fast-paced environment.
- Excellent written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
- Strong attention to detail and commitment to data quality and accuracy.
Preferred Skills & Experience
- Experience supporting CECL, stress testing, underwriting, loss forecasting, or credit risk analytics functions.
- Knowledge of dashboarding and reporting tools such as Tableau, Qlik Sense, or similar business intelligence platforms.
- Experience supporting model governance, validation, audit, and regulatory review processes.
- Strong understanding of financial planning and analysis processes within a banking environment.
- Experience developing enterprise-scale data platforms and analytical solutions.
- Proven ability to collaborate effectively across Finance, Risk, IT, Data Management, and business organizations.
- Strong project leadership and stakeholder management skills.
- Experience driving process automation and workflow optimization initiatives.
- Familiarity with model risk management frameworks and regulatory expectations.
Education
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Finance, Economics, or a related quantitative field required.
- Master's degree in a quantitative discipline preferred.
- Equivalent combinations of education, technical training, and relevant professional experience will be considered.
The estimated salary range for this position is $150,000 USD to $170,000 USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.
Webster Financial Corporation and its subsidiaries (“Webster”) are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.
Finance Associate Job Roles in Connecticut
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Search Finance Associate Jobs in ConnecticutFinance Associate Jobs in Connecticut: Frequently Asked Questions
Which companies sponsor visas for finance associates in Connecticut?
Hartford-based insurers including Aetna, The Hartford, and Cigna have consistent H-1B sponsorship histories for finance roles. In Fairfield County, firms like Bridgewater Associates, UBS, and various hedge funds and private equity managers sponsor finance associates with specialized analytical skills. Large regional banks and accounting firms operating across Stamford and New Haven also appear regularly in Department of Labor LCA disclosure data for finance-related positions.
Which visa types are most common for finance associate roles in Connecticut?
The H-1B is the most common visa for finance associates in Connecticut, as roles typically require at least a bachelor's degree in finance, accounting, economics, or a related field, satisfying the specialty occupation requirement. Candidates with an MBA or master's degree may also qualify for H-1B cap exemption through university-affiliated employers. F-1 OPT and STEM OPT extensions are common entry points before employer-sponsored petition filing.
Which cities in Connecticut have the most finance associate sponsorship jobs?
Stamford and Greenwich in Fairfield County concentrate the highest volume of finance associate sponsorship activity, driven by hedge funds, asset managers, and financial services firms clustered there. Hartford remains a significant hub, particularly for insurance-sector finance roles in financial reporting and investment analysis. New Haven sees smaller but consistent demand, partly tied to Yale University's affiliated financial operations and nearby corporate employers.
How to find finance associate visa sponsorship jobs in Connecticut?
Migrate Mate filters finance associate roles specifically by visa sponsorship, so you're not sifting through listings from employers unlikely to sponsor. For Connecticut, you can narrow results by location to target Stamford, Hartford, or Greenwich specifically. Migrate Mate aggregates roles from employers with documented sponsorship histories, which is particularly useful in Connecticut's concentrated finance market where not every firm actively sponsors international candidates.
Are there state-specific factors that affect visa sponsorship for finance associates in Connecticut?
Connecticut's Fairfield County finance sector operates at compensation levels that generally meet or exceed prevailing wage thresholds set by the Department of Labor for H-1B purposes, which can streamline the LCA certification process. The state's proximity to New York also means some employers maintain offices in both markets, occasionally offering flexibility in work location. Finance programs at UConn and Fairfield University also feed local employer pipelines for entry-level sponsored roles.
What is the prevailing wage for sponsored finance associate jobs in Connecticut?
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.