OPT Data Engineer Jobs
Data Engineer roles are among the most OPT-friendly positions in tech, with strong employer demand for F-1 students skilled in Python, SQL, and cloud platforms like AWS or Azure. Most roles qualify as STEM OPT extensions, giving you up to three years of authorized work without H-1B visa sponsorship.
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Think BIG. Achieve More. At City National Bank of Florida, we invest in our people and the communities we serve. Join a team where ambitious careers and meaningful relationships thrive together. We’re entrepreneurs at heart—growing fast, making an impact, and shaping the future of banking in Florida. To learn more about City National Bank of Florida visit About Us!
Overview
The Financial Crime Data Analyst & Governance position is responsible for designing, developing, and maintaining data governance, analytics, reporting, and business intelligence solutions supporting the Financial Crime Prevention (FCP) Program, including BSA/AML, OFAC, Fraud, Customer Due Diligence (CDD), Enhanced Due Diligence (EDD), Customer Risk Management, Transaction Monitoring, Case Management, and Regulatory Reporting functions. This role serves as the primary liaison between Financial Crime Prevention, Information Technology, Enterprise Data & Analytics, Operations, and third-party solution providers to ensure data integrity, governance, automation, and optimization of financial crime systems and reporting. The position is responsible for maintaining data lineage and mapping documentation, developing automated reporting solutions, supporting system implementations and enhancements, monitoring data quality, and providing actionable analytics to support executive management, regulatory examinations, audits, and strategic decision-making. The Financial Crime Data Analyst & Governance professional assists in evaluating data quality, reporting methodologies, system functionality, and operational efficiencies to strengthen the Bank's Financial Crime Prevention Program and support regulatory excellence.
Financial Crime Analytics & Reporting
- Design, develop, maintain, and enhance analytics and reporting solutions supporting BSA/AML, OFAC, Fraud, Customer Risk Management, EDD, Transaction Monitoring, and Case Management functions.
- Develop and maintain automated dashboards, scorecards, visualizations, Key Risk Indicators (KRIs), Key Performance Indicators (KPIs), and management reports utilizing business intelligence tools.
- Produce recurring and ad hoc reports as needed to support executive management, Board reporting, regulatory examinations, audits, and operational management.
- Perform trend analysis, root cause analysis, and statistical assessments to identify emerging financial crime risks, operational challenges, and improvement opportunities.
- Translate analytical findings into executive-ready presentations, dashboards, and actionable recommendations.
Fraud Analytics & Financial Crime Intelligence
- Develop and maintain analytical reporting related to fraud trends, fraud losses, account takeover activity, elder financial exploitation, mule activity, check fraud, ACH fraud, wire fraud, digital fraud, and emerging financial crime typologies.
- Partner with Fraud Director and business stakeholders to identify suspicious trends and recommend enhancements to fraud detection strategies and controls.
- Support fraud rule optimization, model performance monitoring, and detection effectiveness reporting.
- Analyze internal and external data sources to support proactive identification of financial crime risks.
Data Governance & Quality Management
- Maintain the Financial Crime Prevention data governance framework, including data inventories, data dictionaries, business definitions, source systems, reporting calculations, and lineage documentation.
- Establish and maintain data quality standards, controls, reconciliations, and exception monitoring processes.
- Conduct periodic reviews to ensure accuracy, completeness, consistency, and integrity of data utilized within Financial Crime Prevention systems and reporting processes.
- Investigate data quality issues, coordinate remediation efforts, and track resolution of identified deficiencies.
- Maintain documentation supporting governance, audit, regulatory, and model validation requirements.
System Integration, Data Mapping & Technology Support
- Lead business-side data mapping initiatives supporting Financial Crime applications, including transaction monitoring, sanctions screening, fraud detection, customer risk rating, and case management platforms.
- Collaborate with Technology, Enterprise Data & Analytics, Operations, and vendors to design, validate, and optimize source-to-target data mappings.
- Participate in system implementations, upgrades, conversions, data migrations, and enhancement projects.
- Support user acceptance testing (UAT), data validation, reconciliation activities, and post-implementation monitoring.
- Maintain system inventories, data flow diagrams, reporting inventories, issue logs, and technology governance documentation.
- Serve as subject matter expert for Financial Crime data flows and data architecture.
Reporting Automation & Process Optimization
- Identify, evaluate, and implement opportunities to automate reporting, data collection, reconciliations, and operational processes across the Financial Crime Prevention Program.
- Partner with Financial Crime Prevention management, Information Technology and Data teams to develop automated data feeds, reporting solutions, workflows, and integrations.
- Utilize advanced analytics, business intelligence tools, artificial intelligence, robotic process automation, and emerging technologies to improve operational effectiveness and reporting efficiency.
- Support initiatives focused on reducing manual effort, improving data accuracy, and enhancing program scalability.
Regulatory, Audit & Risk Support
- Support OCC examinations, regulatory reviews, internal audits, external audits, and model validation activities by providing reports, analytics, and supporting documentation.
- Develop and maintain reporting supporting Enterprise-wide BSA/AML, Fraud, and OFAC Risk Assessments.
- Assist with risk metric development, threshold monitoring, issue tracking, and remediation activities.
- Ensure reporting methodologies and analytics remain aligned with evolving regulatory expectations and industry best practices.
- Maintain thorough documentation of reporting assumptions, methodologies, controls, and governance processes.
Cross-Functional Partnership
- Collaborate with Financial Crime Prevention leadership, Operations, Information Technology, Data & Analytics, Risk Management, and business units to support strategic initiatives and operational objectives.
- Act as a central point of contact for Financial Crime data, reporting, governance, and analytics-related inquiries.
- Provide training, guidance, and support to stakeholders utilizing Financial Crime dashboards, reports, and analytical tools.
- Participate in special projects and strategic initiatives supporting the continued maturity of the Financial Crime Prevention Program.
Qualifications
- 5+ years of experience in Financial Crime, AML, Fraud, Risk Analytics, Data Analytics, Compliance Analytics, Business Intelligence, or related disciplines.
- Experience supporting financial institutions, FinTechs, regulatory compliance functions, or financial crime prevention programs.
- Experience supporting transaction monitoring platforms, sanctions screening solutions, fraud detection applications, customer risk rating systems, or case management platforms.
- Experience with reporting automation, dashboard development, and business intelligence solutions.
- Experience participating in system implementations, integrations, data migrations, and technology projects.
- Experience supporting regulatory examinations, internal audits, external audits, or model validation activities.
- Advanced knowledge of BSA/AML, OFAC, Fraud Prevention, Customer Due Diligence, and Financial Crime Risk Management principles.
- Strong understanding of financial crime typologies, transaction monitoring, sanctions screening, and fraud detection methodologies.
- Advanced proficiency with reporting, business intelligence, and analytics tools including Power BI, SQL, Excel, Tableau, SSRS, SAS, Python, or equivalent technologies.
- Strong knowledge of data governance, data lineage, data mapping, and data quality management principles.
- Experience developing dashboards, automated reporting solutions, and executive management reporting.
- Ability to design, validate, and document data mappings and source-to-target transformations.
- Strong analytical, critical thinking, problem-solving, and root cause analysis skills.
- Ability to analyze large and complex data sets and translate findings into actionable business recommendations.
- Strong project management and organizational skills with ability to manage multiple priorities simultaneously.
- Excellent written and verbal communication skills with ability to present information to technical and non-technical audiences.
- Strong stakeholder management and cross-functional collaboration capabilities.
- Knowledge of Financial Crimes Screening, Client Risk Rating, Transaction Monitoring, and Case Management solutions (i.e., Actimize, Verafin, LexisNexis Risk Solutions) preferred.
- Knowledge of artificial intelligence, machine learning, robotic process automation, and emerging analytics technologies preferred.
Education
- Bachelor's Degree in Business, Finance or related field.
- An equivalent combination of education and/or relevant professional experience may be considered in lieu of a degree.
Benefits & Perks
We offer a competitive benefits package designed to support your success:
- Health Coverage: Medical, dental, and vision plans with employer contributions.
- Retirement Savings: 401(k) with matching.
- Paid Time Off & Holidays: Generous PTO and paid holidays.
- Wellness Support: Access to mental health and financial wellness resources. Visit our benefits page to learn more Benefits! Join City National Bank of Florida. The possibilities are endless.
Special Information To Candidates
Equal Opportunity
City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.
Interview Guidelines
To ensure a fair interview process, the use of AI wearables, AT tools, AI applications, or other external assistance is strictly prohibited.
Accommodations
If you require a reasonable accommodation to apply or participate in the hiring process, please contact our Talent Attraction team at talent.attraction@citynational.com.
About us
Think BIG. Achieve More. At City National Bank of Florida, we invest in our people and the communities we serve. Join a team where ambitious careers and meaningful relationships thrive together. We’re entrepreneurs at heart—growing fast, making an impact, and shaping the future of banking in Florida. To learn more about City National Bank of Florida visit About Us!
Overview
The Financial Crime Data Analyst & Governance position is responsible for designing, developing, and maintaining data governance, analytics, reporting, and business intelligence solutions supporting the Financial Crime Prevention (FCP) Program, including BSA/AML, OFAC, Fraud, Customer Due Diligence (CDD), Enhanced Due Diligence (EDD), Customer Risk Management, Transaction Monitoring, Case Management, and Regulatory Reporting functions. This role serves as the primary liaison between Financial Crime Prevention, Information Technology, Enterprise Data & Analytics, Operations, and third-party solution providers to ensure data integrity, governance, automation, and optimization of financial crime systems and reporting. The position is responsible for maintaining data lineage and mapping documentation, developing automated reporting solutions, supporting system implementations and enhancements, monitoring data quality, and providing actionable analytics to support executive management, regulatory examinations, audits, and strategic decision-making. The Financial Crime Data Analyst & Governance professional assists in evaluating data quality, reporting methodologies, system functionality, and operational efficiencies to strengthen the Bank's Financial Crime Prevention Program and support regulatory excellence.
Financial Crime Analytics & Reporting
- Design, develop, maintain, and enhance analytics and reporting solutions supporting BSA/AML, OFAC, Fraud, Customer Risk Management, EDD, Transaction Monitoring, and Case Management functions.
- Develop and maintain automated dashboards, scorecards, visualizations, Key Risk Indicators (KRIs), Key Performance Indicators (KPIs), and management reports utilizing business intelligence tools.
- Produce recurring and ad hoc reports as needed to support executive management, Board reporting, regulatory examinations, audits, and operational management.
- Perform trend analysis, root cause analysis, and statistical assessments to identify emerging financial crime risks, operational challenges, and improvement opportunities.
- Translate analytical findings into executive-ready presentations, dashboards, and actionable recommendations.
Fraud Analytics & Financial Crime Intelligence
- Develop and maintain analytical reporting related to fraud trends, fraud losses, account takeover activity, elder financial exploitation, mule activity, check fraud, ACH fraud, wire fraud, digital fraud, and emerging financial crime typologies.
- Partner with Fraud Director and business stakeholders to identify suspicious trends and recommend enhancements to fraud detection strategies and controls.
- Support fraud rule optimization, model performance monitoring, and detection effectiveness reporting.
- Analyze internal and external data sources to support proactive identification of financial crime risks.
Data Governance & Quality Management
- Maintain the Financial Crime Prevention data governance framework, including data inventories, data dictionaries, business definitions, source systems, reporting calculations, and lineage documentation.
- Establish and maintain data quality standards, controls, reconciliations, and exception monitoring processes.
- Conduct periodic reviews to ensure accuracy, completeness, consistency, and integrity of data utilized within Financial Crime Prevention systems and reporting processes.
- Investigate data quality issues, coordinate remediation efforts, and track resolution of identified deficiencies.
- Maintain documentation supporting governance, audit, regulatory, and model validation requirements.
System Integration, Data Mapping & Technology Support
- Lead business-side data mapping initiatives supporting Financial Crime applications, including transaction monitoring, sanctions screening, fraud detection, customer risk rating, and case management platforms.
- Collaborate with Technology, Enterprise Data & Analytics, Operations, and vendors to design, validate, and optimize source-to-target data mappings.
- Participate in system implementations, upgrades, conversions, data migrations, and enhancement projects.
- Support user acceptance testing (UAT), data validation, reconciliation activities, and post-implementation monitoring.
- Maintain system inventories, data flow diagrams, reporting inventories, issue logs, and technology governance documentation.
- Serve as subject matter expert for Financial Crime data flows and data architecture.
Reporting Automation & Process Optimization
- Identify, evaluate, and implement opportunities to automate reporting, data collection, reconciliations, and operational processes across the Financial Crime Prevention Program.
- Partner with Financial Crime Prevention management, Information Technology and Data teams to develop automated data feeds, reporting solutions, workflows, and integrations.
- Utilize advanced analytics, business intelligence tools, artificial intelligence, robotic process automation, and emerging technologies to improve operational effectiveness and reporting efficiency.
- Support initiatives focused on reducing manual effort, improving data accuracy, and enhancing program scalability.
Regulatory, Audit & Risk Support
- Support OCC examinations, regulatory reviews, internal audits, external audits, and model validation activities by providing reports, analytics, and supporting documentation.
- Develop and maintain reporting supporting Enterprise-wide BSA/AML, Fraud, and OFAC Risk Assessments.
- Assist with risk metric development, threshold monitoring, issue tracking, and remediation activities.
- Ensure reporting methodologies and analytics remain aligned with evolving regulatory expectations and industry best practices.
- Maintain thorough documentation of reporting assumptions, methodologies, controls, and governance processes.
Cross-Functional Partnership
- Collaborate with Financial Crime Prevention leadership, Operations, Information Technology, Data & Analytics, Risk Management, and business units to support strategic initiatives and operational objectives.
- Act as a central point of contact for Financial Crime data, reporting, governance, and analytics-related inquiries.
- Provide training, guidance, and support to stakeholders utilizing Financial Crime dashboards, reports, and analytical tools.
- Participate in special projects and strategic initiatives supporting the continued maturity of the Financial Crime Prevention Program.
Qualifications
- 5+ years of experience in Financial Crime, AML, Fraud, Risk Analytics, Data Analytics, Compliance Analytics, Business Intelligence, or related disciplines.
- Experience supporting financial institutions, FinTechs, regulatory compliance functions, or financial crime prevention programs.
- Experience supporting transaction monitoring platforms, sanctions screening solutions, fraud detection applications, customer risk rating systems, or case management platforms.
- Experience with reporting automation, dashboard development, and business intelligence solutions.
- Experience participating in system implementations, integrations, data migrations, and technology projects.
- Experience supporting regulatory examinations, internal audits, external audits, or model validation activities.
- Advanced knowledge of BSA/AML, OFAC, Fraud Prevention, Customer Due Diligence, and Financial Crime Risk Management principles.
- Strong understanding of financial crime typologies, transaction monitoring, sanctions screening, and fraud detection methodologies.
- Advanced proficiency with reporting, business intelligence, and analytics tools including Power BI, SQL, Excel, Tableau, SSRS, SAS, Python, or equivalent technologies.
- Strong knowledge of data governance, data lineage, data mapping, and data quality management principles.
- Experience developing dashboards, automated reporting solutions, and executive management reporting.
- Ability to design, validate, and document data mappings and source-to-target transformations.
- Strong analytical, critical thinking, problem-solving, and root cause analysis skills.
- Ability to analyze large and complex data sets and translate findings into actionable business recommendations.
- Strong project management and organizational skills with ability to manage multiple priorities simultaneously.
- Excellent written and verbal communication skills with ability to present information to technical and non-technical audiences.
- Strong stakeholder management and cross-functional collaboration capabilities.
- Knowledge of Financial Crimes Screening, Client Risk Rating, Transaction Monitoring, and Case Management solutions (i.e., Actimize, Verafin, LexisNexis Risk Solutions) preferred.
- Knowledge of artificial intelligence, machine learning, robotic process automation, and emerging analytics technologies preferred.
Education
- Bachelor's Degree in Business, Finance or related field.
- An equivalent combination of education and/or relevant professional experience may be considered in lieu of a degree.
Benefits & Perks
We offer a competitive benefits package designed to support your success:
- Health Coverage: Medical, dental, and vision plans with employer contributions.
- Retirement Savings: 401(k) with matching.
- Paid Time Off & Holidays: Generous PTO and paid holidays.
- Wellness Support: Access to mental health and financial wellness resources. Visit our benefits page to learn more Benefits! Join City National Bank of Florida. The possibilities are endless.
Special Information To Candidates
Equal Opportunity
City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.
Interview Guidelines
To ensure a fair interview process, the use of AI wearables, AT tools, AI applications, or other external assistance is strictly prohibited.
Accommodations
If you require a reasonable accommodation to apply or participate in the hiring process, please contact our Talent Attraction team at talent.attraction@citynational.com.
See all 1,764+ OPT Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Data Engineer Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Data Engineer
Lead with your STEM OPT eligibility upfront
Data Engineering is a STEM-designated field, which means you qualify for a 24-month OPT extension beyond your initial 12 months. Mention this in your cover letter so employers know they have three years before needing to sponsor an H-1B visa.
Build a portfolio around real data pipelines
Employers hiring data engineers want proof you can build and maintain production-grade pipelines. Publish GitHub projects showing ETL workflows, data modeling, or orchestration with tools like Airflow or dbt to demonstrate hands-on capability beyond coursework.
Target companies with active H-1B filing histories
Companies that regularly file H-1B petitions for data roles are far more likely to sponsor you after OPT. DOL disclosure data shows which employers have historically sponsored data engineering positions, so prioritize applications there.
Emphasize cloud certifications to stand out
AWS Certified Data Engineer, Google Professional Data Engineer, or Azure Data Engineer certifications signal to hiring managers that you can contribute immediately. Certifications often offset concerns about sponsorship timelines by demonstrating high technical readiness.
Address OPT timing proactively with recruiters
Recruiters often assume OPT authorization is more complicated than it is. Prepare a one-sentence explanation of your current OPT status, remaining duration, and STEM extension eligibility so hiring conversations move forward without confusion or hesitation.
Apply to mid-size tech and data-driven companies
Startups and mid-size companies in fintech, healthtech, and SaaS often have urgent data engineering needs and more flexible hiring processes. They're frequently more willing to sponsor OPT workers than large enterprises with rigid HR policies.
Data Engineer OPT: Frequently Asked Questions
Does a Data Engineer role qualify for the STEM OPT extension?
Yes. Data Engineering falls under CIP codes recognized as STEM-eligible, which means most F-1 students graduating from a qualifying program in computer science, information systems, or a related field can apply for the 24-month STEM OPT extension. Your role must be directly related to your degree field, and your employer must enroll in E-Verify to support the extension.
How do I find Data Engineer jobs that explicitly support OPT work authorization?
Migrate Mate filters job listings specifically for OPT-eligible candidates, so you can browse Data Engineer roles from employers already open to F-1 work authorization without screening out irrelevant listings. This saves significant time compared to parsing general job postings that rarely specify sponsorship willingness upfront.
Can I work as a Data Engineer contractor or on a project basis during OPT?
OPT requires that your employment be directly related to your degree field, but it does not require a full-time permanent position. Contract and project-based data engineering roles can qualify, provided each engagement is substantive and field-related. Self-employment is permitted under OPT if you can demonstrate you are actively engaged in work related to your degree.
What happens to my OPT if my Data Engineer job ends before my authorization period expires?
F-1 OPT students are allowed up to 90 days of unemployment during the initial OPT period, and up to 150 days during the STEM OPT extension. If your data engineering role ends, you must actively pursue new employment in your field. Exceeding the unemployment limit puts your status at risk, so tracking your dates carefully from the day employment ends is critical.
Do Data Engineer employers need to do anything special to hire me on OPT?
For standard OPT, employers do not need to file any immigration petition or take formal action. You simply present your EAD card as proof of work authorization. For the STEM OPT extension, your employer must be enrolled in E-Verify and complete a formal training plan with your designated school official. Most established tech companies already meet this requirement.