Rohan Duhaney
Cybersecurity Architect | Fraud Detection Strategist | Predictive Systems Engineer
📍 Gloucester, NJ | 📧 smartduhaney@gmail.com | 📞 (856) 522-3601 | 🌐 www.smartgstore.com
🧠 Professional Summary
Cybersecurity and fraud detection expert with 20+ years of experience designing predictive systems, securing financial infrastructures, and leading global operations. Proven success in reducing fraud by over 70%, deploying real-time threat detection, and building scalable platforms for banking, casino, and fintech environments. Adept at blending behavioral economics, machine learning, and secure architecture to deliver investor-grade solutions.
💼 Professional Experience
RW Resort – Casino Security Floor Manager (Contract)
Queens, NY | Mar 2025 – Present
- One of eight senior managers overseeing all security operations for New York City’s #1 casino, RW Resort.
- Lead and manage 137+ security officers across 24/7 operations, ensuring protection of physical and digital assets.
- Direct fraud prevention initiatives targeting card dipping, machine tampering, identity misuse, and cyber intrusion.
- Collaborate with NYPD, state law enforcement, and cybercrime units to maintain order and enforce regulatory compliance.
- Integrated Sophos XG450 firewall and Intercept X endpoint protection into casino infrastructure for automated threat detection and secure VPN failover.
- Conduct forensic investigations and real-time anomaly detection using firewall telemetry and Python scripting.
- Enforce zero-trust access protocols, secure key control systems, and insider threat mitigation strategies across casino zones.
- Conduct daily briefings, post-incident debriefs, and vulnerability assessments to maintain 100% audit readiness and operational resilience.
LPL Financial – Principal Solution Architect (Contract)
Remote | Apr 2024 – Oct 2024
- Delivered high-impact fraud detection and cybersecurity solutions as a trusted freelance architect for one of the nation’s leading financial firms.
- Designed and deployed Flask-based fraud detection systems with AI-driven dynamic risk scoring, tailored for high-volume financial environments.
- Became a go-to expert in SQL—developing complex scripts for data validation, reconciliation, reporting, and real-time fraud analytics.
- Automated batch workflows and SQL-driven data pipelines, dramatically improving operational efficiency and reducing manual intervention across compliance systems.
- Integrated Sophos XG firewall telemetry into fraud detection infrastructure, enabling secure data flow, endpoint hardening, and real-time threat visibility.
- Built SIEM dashboards and executive-grade PDF reporting engines to provide clear visibility into threat activity, system health, and compliance posture.
- Applied cross-validation and model tuning techniques to ensure fraud models remained accurate, adaptable, and audit-compliant.
- Collaborated with market vendors including NSCC and SIAC to ensure seamless trade reconciliation and adherence to regulatory frameworks.
- Supported operational teams with scripting and automation tools for scheduling, data ingestion, and exception handling across financial systems.
- Earned recognition for delivering scalable, secure, and investor-grade fraud prevention systems under tight timelines.
- Designed Flask-based fraud detection systems with AI-driven risk scoring.
- Automated SQL pipelines and batch workflows for fraud analytics and compliance.
- Integrated Sophos telemetry into SIEM dashboards and PDF reporting engines.
- Collaborated with NSCC and SIAC for trade reconciliation and regulatory compliance.
Credit Suisse – Senior Engineer, Cybersecurity & Fraud Detection
New York, NY | Aug 2000 – Mar 2024
- Built real-time fraud detection systems using Isolation Forest and supervised ML models.
- Led global cyber threat initiatives, reducing phishing and breach attempts.
- Validated fraud models for GLBA, PCI-DSS, and NYDFS compliance.
- Directed service delivery, SLA adherence, and automated reporting pipelines.
- Engineered Python-based tools for log parsing, alerting, and endpoint policy enforcement.
- Directed global cybersecurity operations and fraud detection initiatives across banking infrastructure.
- Managed cross-functional teams including data center staff, cybersecurity analysts, and fraud operations personnel.
- Oversaw service delivery for mission-critical systems, ensuring SLA compliance and operational resilience.
- Led strategic projects in fraud analytics, threat detection, and infrastructure hardening.
- Acted as primary liaison between technical teams and executive leadership, translating business needs into secure, scalable solutions.
- Delivered audit-ready fraud models and compliance frameworks aligned with GLBA, PCI-DSS, and NYDFS standards.
- Engineered Python-based automation tools for log parsing, alerting, and endpoint policy enforcement.
- Championed proactive threat identification, reducing phishing, DDoS, and breach attempts through behavioral analytics and firewall telemetry.
- Accountable for uptime, performance, and security of data center operations supporting global banking services.
Investec Ernst – ETF Operations Solutions Architect
New York, NY | Jan 2000 – Aug 2000
- Acted as a strategic technical advisor to the Head of IT, influencing decisions on infrastructure, automation, and compliance across ETF operations.
- Engineered automated ETF creation and redemption workflows using Python and IBM AS/400 systems, significantly improving execution speed and reducing manual intervention.
- Developed predictive analytics models for trade timing and market participation, boosting operational efficiency by 30%.
- Leveraged IBM AS/400 and related technologies to build resilient, high-throughput systems for trade processing and compliance monitoring.
- Integrated Sophos XG firewall rules and automated VPN failover protocols to secure ETF trading infrastructure and ensure uninterrupted compliance workflows.
- Created real-time monitoring systems to flag execution discrepancies and ensure adherence to regulatory standards.
- Automated daily and weekly reporting pipelines using AS/400 batch processing and Python scripting, reducing reporting time by 50% and enhancing transparency for stakeholders.
- Played a pivotal role in optimizing ETF operations by blending legacy IBM systems with modern predictive tools, delivering scalable and audit-ready solutions.
- Automated ETF workflows, improving execution speed and accuracy.
- Built predictive models for trade timing, increasing efficiency by 30%.
- Integrated Sophos firewall rules and VPN failover for secure trading infrastructure.
- Reduced reporting time by 50% through automation and real-time dashboards.
Christian Dalloz – Fraud Detection Engineer (AS/400 Platform)
Chadds Ford, PA | Feb 1999 – Dec 1999
- Entered as an entry-level engineer fresh out of Stockton College, quickly recognized for technical acumen and leadership potential.
- Promoted to lead the project just three weeks in after the senior IT professional departed unexpectedly—entrusted with full control of a high-stakes fraud detection initiative.
- Spearheaded a major banking migration project with zero tolerance for data exposure, ensuring airtight security across all systems.
- Traveled extensively to coordinate operations and maintain oversight across Chadds Ford, Reading, and Franklin (PA), as well as Redhill, UK.
- Engineered a Flask-based machine learning fraud detection system on IBM AS/400, enabling real-time monitoring of banking transactions.
- Designed and deployed model validation and auditing tools to ensure full regulatory compliance and system integrity.
- Integrated Sophos Intercept X and XG firewall telemetry to enhance endpoint protection and detect anomalies in high-volume transaction environments.
- Reduced false positives and improved fraud detection accuracy through AI-driven behavioral analytics and secure data handling protocols.
- Delivered a secure, scalable fraud detection infrastructure that laid the foundation for future enterprise-grade systems.
🎓 Education
Bachelor of Science in Computer Science
Stockton College of New Jersey, Pomona, NJ — Graduated 1999
🛡️ Certifications
- Certified Information Systems Security Professional (CISSP)
- Certified Ethical Hacker (CEH)
- Financial Risk Manager (FRM)
💻 Technical Stack & Expertise
Programming & Data
- Python, Dash (Plotly), Pandas, NumPy, SQL, CSV/JSON
- Flask, FastAPI, HTML/CSS/JavaScript
- Git & GitHub | PythonAnywhere Deployment
Cybersecurity & Risk Management
- Sophos XG & Intercept X | MFA | RBAC | Data Encryption
- Secure API Design | Session Management | SIEM Integration
- Behavioral Analytics | Transaction Monitoring | Audit Trails
Behavioral Economics & UX
- A/B Testing Frameworks | Gamification | Psychological Triggers
- Loss Aversion | Sunk Cost Fallacy | Machine-vs-Human Dynamics
Financial Modeling & Simulation
- Profit Simulators | Monte Carlo Simulations | Excel/VBA
- Investor ROI Forecasting | Risk Modeling | Compliance Dashboards
Infrastructure & Scalability
- Cloud Hosting (PythonAnywhere, AWS/Azure)
- Automated Payment Systems | Load Testing | Secure VPN Failover
🏆 Key Achievements
- Reduced fraudulent transactions by 85% across financial platforms.
- Automated compliance reporting, cutting audit prep time by 40%.
- Built predictive fraud models with 90%+ accuracy used by top-tier institutions.
- Led global cybersecurity operations at Credit Suisse for over two decades.
- Designed scalable betting platforms with behavioral economics-driven engagement.