Nasdaq

Analyze fraud data to identify threats and improve client fraud strategies. | Requires 5+ years in fraud analytics, strong SQL and data skills, and fraud domain knowledge. | The Role We’re looking for a Lead Fraud Intelligence & Strategy Analyst to join our team at Verafin. Reporting to an AVP of Product Strategy, you’ll work with one of the largest consolidated fraud data sets in financial services, using transaction and fraud data from across our network to uncover emerging threats, identify patterns, and help financial institutions strengthen their fraud strategies. You’ll work at the intersection of fraud threat intelligence, data analysis, and client strategy, turning complex data into actionable insights for our clients, product teams, and internal partners. You’ll fit right in if you’re naturally curious, analytical, and investigative, and you love digging into data to understand not only what is happening, but why. What You’ll Do • Hunt for emerging fraud threats and patterns across transaction data, case data, marked fraud, and other signals within the Verafin network. • Turn fraud intelligence into actionable insights, helping clients and internal teams quickly understand emerging activity, attack patterns, and opportunities to respond. • Analyze how enterprise clients use Verafin scores and data within their fraud strategies and identify opportunities to improve fraud detection and reduce false positives. • Partner across Product, Customer Success, Sales, and Marketing to translate your findings into client recommendations, product improvements, and broader fraud intelligence. • Help scale how we analyze fraud, exploring automation, AI, and data architecture improvements that make threat hunting and strategy analysis more repeatable and efficient. What You’ll Bring • 5+ years of experience in fraud analytics, fraud strategy, or related areas. • Strong SQL and data analysis skills, with experience working with large, complex transactional data sets. • Strong understanding of fraud typologies and financial services, including areas such as scams, account takeover, and payment fraud. • Proven ability to spot patterns and anomalies in complex data and turn them into clear, practical recommendations. • Excellent communication skills, with the ability to tell a compelling data story to both technical teams and non-technical clients. Nice to Have • Experience with AI/ML concepts, automation, or agentic AI tools. • Experience working with enterprise financial institutions or within fraud/cybersecurity threat intelligence. • Familiarity with payment systems and analytical tools, including Python, R, or data visualization platforms. This position can be located in New York, Toronto, St. John’s, Philadelphia, or Atlanta and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. Come as You Are Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities. We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated. We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process. What We Offer We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success. The base pay range for this role is $116,000 - $203,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands. Nasdaq’s programs and rewards are intended to allow our employees to: • Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off • Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts • Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave • Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days • Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities For more information, visit Nasdaq Benefits & Rewards Career page.

Analyze fraud data to identify threats and improve client fraud strategies. | Requires 5+ years fraud analytics experience, strong SQL, fraud knowledge, and communication skills. | The Role We’re looking for a Lead Fraud Intelligence & Strategy Analyst to join our team at Verafin. Reporting to an AVP of Product Strategy, you’ll work with one of the largest consolidated fraud data sets in financial services, using transaction and fraud data from across our network to uncover emerging threats, identify patterns, and help financial institutions strengthen their fraud strategies. You’ll work at the intersection of fraud threat intelligence, data analysis, and client strategy, turning complex data into actionable insights for our clients, product teams, and internal partners. You’ll fit right in if you’re naturally curious, analytical, and investigative, and you love digging into data to understand not only what is happening, but why. What You’ll Do • Hunt for emerging fraud threats and patterns across transaction data, case data, marked fraud, and other signals within the Verafin network. • Turn fraud intelligence into actionable insights, helping clients and internal teams quickly understand emerging activity, attack patterns, and opportunities to respond. • Analyze how enterprise clients use Verafin scores and data within their fraud strategies and identify opportunities to improve fraud detection and reduce false positives. • Partner across Product, Customer Success, Sales, and Marketing to translate your findings into client recommendations, product improvements, and broader fraud intelligence. • Help scale how we analyze fraud, exploring automation, AI, and data architecture improvements that make threat hunting and strategy analysis more repeatable and efficient. What You’ll Bring • 5+ years of experience in fraud analytics, fraud strategy, or related areas. • Strong SQL and data analysis skills, with experience working with large, complex transactional data sets. • Strong understanding of fraud typologies and financial services, including areas such as scams, account takeover, and payment fraud. • Proven ability to spot patterns and anomalies in complex data and turn them into clear, practical recommendations. • Excellent communication skills, with the ability to tell a compelling data story to both technical teams and non-technical clients. Nice to Have • Experience with AI/ML concepts, automation, or agentic AI tools. • Experience working with enterprise financial institutions or within fraud/cybersecurity threat intelligence. • Familiarity with payment systems and analytical tools, including Python, R, or data visualization platforms. This position can be located in New York, Toronto, St. John’s, Philadelphia, or Atlanta and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. Come as You Are Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities. We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated. We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process. What We Offer We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success. The base pay range for this role is $116,000 - $203,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands. Nasdaq’s programs and rewards are intended to allow our employees to: • Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off • Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts • Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave • Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days • Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities For more information, visit Nasdaq Benefits & Rewards Career page.

Design and maintain scalable backend services and web applications for real-time financial operations. | Bachelor's degree and 5+ years experience in software engineering with Java and SQL in Linux environments. | The Role As a Software Engineer Specialist reporting to the Director - Software Engineering, you'll play a critical role in building and maintaining the technology platforms that power Nasdaq's market operations. You'll own the development and reliability of a complex, high-performance client-server web platform that supports real-time financial activity and exchange operations at scale. You'll thrive in this position if you're technically sharp, solutions-oriented, and energized by working in a fast-paced, high-stakes environment where your work directly supports the integrity of global markets. Key Responsibilities Design, develop, and maintain scalable backend services, APIs, and web applications using Java and modern web technologies. Lead architectural decisions and code reviews to ensure secure, high-quality, and high-performance software delivery. Build and optimize client-server applications that support real-time market data processing, transaction workflows, and exchange operations. Collaborate with infrastructure, DevOps, and QA teams to ensure reliable integration, deployment, and support across Linux-based environments. Troubleshoot complex production issues, perform root cause analysis, and implement long-term solutions to improve system reliability, scalability, and performance. Maintain technical documentation and ensure adherence to industry standards, security best practices, and regulatory requirements. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. 5+ years of software engineering experience developing enterprise-scale applications using Java, SQL, and modern software engineering principles. Experience building and supporting web-based applications using React (or similar frameworks) within Linux-based environments. Strong understanding of client-server architectures, API development, system integration, multi-threaded programming, and performance optimization. Proven ability to build, deploy, and support secure, scalable, and high-performing systems while collaborating across cross-functional teams. Preferred Qualifications Experience working in capital markets, trading systems, fintech, or other regulated financial environments. Familiarity with real-time data processing, event-driven architectures, low-latency systems, and market connectivity protocols such as FIX. Experience with containerization technologies (Docker, Kubernetes), CI/CD pipelines, and system monitoring or observability tools. Knowledge of secure software development practices, regulatory compliance requirements, and production support in mission-critical environments. This position will be located in New York and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) This posting is for an existing vacancy within Nasdaq. Come as You Are Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities. We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated. We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process. What We Offer We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success. The base pay range for this role is $107,000 - $182,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands. Nasdaq’s programs and rewards are intended to allow our employees to: Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities For more information, visit Nasdaq Benefits & Rewards Career page.