Sr Cyber Security Analyst

About the role

The role centers on developing cyber-intelligence solutions to prevent fraud and security risks across email, data, e-commerce, and web-based systems. You will operate with limited supervision while driving the creation of advanced anti-fraud mechanisms as a hands-on Full Stack Developer within the fraud solution integration team. A core responsibility involves implementing security technologies across application, network, data, endpoint, identity, and mobility domains to create a cohesive defense posture. You will act as a bridge between security architecture and technical execution to ensure defenses remain robust, scalable, and effective against complex schemes like shipping fraud and account takeovers. The position requires close collaboration with cross-functional partners to eliminate operational gaps that fraudsters exploit. Success in this role depends on your ability to investigate security events and translate findings into actionable countermeasures for management. You will also mentor junior team members and guide best practices in software development, data engineering, and security. The ultimate goal is to design, build, and maintain resilient systems that protect the integrity of the business.

Key facts

What you'll do

• Drive the hands-on development of comprehensive anti-fraud systems and serve as the primary technical lead for integrating new security capabilities across enterprise tools, legacy platforms, and cloud-native services.
• Design and develop web applications and REST/SOAP APIs to optimize business processes supported by data and intelligence while maintaining a quality-driven approach to ensure high application uptime and effectiveness.
• Architect, build, and sustain customer-facing digital products and applications focused on shipper fraud remediation to deliver a seamless and secure user experience.
• Engineer and maintain robust, low-latency ETL pipelines that process streaming and batch data from diverse sources to power automated fraud detection.
• Utilize Artificial Intelligence and modern automation tools to remove manual and repetitive security tasks, streamline development workflows, and improve fraud detection and response efficiency.
• Establish strong working relationships with Product, Operations, and Data Science teams to lead change and close operational loopholes exploited by fraudsters.
• Lead investigations into security events and complex fraud vectors to devise actionable countermeasures and advise leadership on the business impact of systemic fraud or data alteration.
• Guide and support junior team members by fostering best practices in software development, data engineering, and security within the information security organization.
• Ensure all technical solutions align with fraud and security risk management objectives across digital channels including email, data platforms, e-commerce, and web-based systems.
• Contribute to the continuous improvement of existing fraud solutions by refining integration points and enhancing system performance, reliability, and scalability.
• Collaborate on the design of domain models and data structures that underpin anti-fraud capabilities across application and data layers.
• Participate in end-to-end delivery cycles, translating security requirements into technical tasks that integrate seamlessly with enterprise tooling.
• Monitor and evaluate the effectiveness of implemented controls, recommending adjustments based on evolving fraud techniques and intelligence.
• Act as a technical authority in fraud solution delivery, ensuring that implementations meet security standards and business objectives.

Requirements

• Hold a Bachelor's degree in computer science, information systems, or equivalent formal training or work experience.
• Accumulate four (4) years of experience in IT information security within a professional environment.
• Demonstrate strong technical knowledge, including database architecture design and implementation across complex systems.
• Apply hands-on experience working in an Agile & SAFe framework with a solid grasp of Continuous Integration and Continuous Delivery (CI/CD) practices.
• Exhibit excellent communication skills, a teamwork mindset, and the capacity to innovate using modern technology.
• Perform duties primarily in remote or hybrid settings while maintaining alignment with organizational security objectives.
• Engage with full-stack development challenges that require deep programming expertise and problem-solving capabilities.
• Operate effectively in an environment that demands continuous learning and adaptation to emerging fraud tactics and security landscapes.

Nice to have

• Experience leveraging AI technologies such as AI coding assistants, Generative AI APIs, or intelligent workflow automation to accelerate development cycles and automate complex business and security logic.
• Familiarity with cloud infrastructure engineering to drive innovation through modern, cloud-based technology.
• Exposure to Kubernetes, Docker, and Google Cloud Platform (GCP) as a strong plus in supporting scalable deployments.
• Prior involvement in shipper fraud remediation or similar fraud prevention initiatives within digital product environments.
• Background in building and maintaining ETL pipelines for high-volume data streams in both streaming and batch modes.
• Proficiency in data engineering and relational databases such as Oracle or Big Query, with Abinitio experience being advantageous.
• Hands-on work with REST and SOAP APIs in production settings to enable seamless system integration.
• Understanding of application, network, data, endpoint, identity, and mobility security domains to contribute effectively to defense strategies.

Practical notes

This role operates under full-time engagement with remote work arrangements. No specific hours, travel requirements, visa sponsorship details, or application deadlines are outlined in the source material.