AI Operations Analyst

Strong preference for New York City or Seattle: We want someone who can collaborate closely with our core team and clients in these markets. Hybrid work environment: 2-3 days per week in office for collaboration, with flexibility for deep work from home. Travel: Occasional client visits and conference attendance (10-15% travel). About FraudNet FraudNet operates a fraud, AML, and digital risk management platform for financial services and digital commerce enterprises worldwide. The cloud-born, patented AI platform helps organizations prevent fraud, money laundering, and other financial crimes in real-time, while automating and augmenting customer onboarding and compliance workflows. FraudNet’s platform leverages collective intelligence derived from billions of transactions—totaling nearly a trillion dollars in value risk-assessed—a no-code/low-code architecture, natively integrated data and tools from over 50 leading third-party providers, and an advanced AI + rules-based decision engine. These technologies enable organizations to make smarter, faster, and more profitable decisions. Role Overview This role owns identification, design, rollout, and measurement of AI-enhanced operational workflows for FraudNet's fraud, AML, and risk operations teams. Engineering owns core platform implementation — you'll have dedicated engineering support to productionize your designs. Your primary focus is internal operations: mapping current workflows, identifying where AI can reduce manual effort and improve accuracy, designing human-plus-AI processes, and measuring outcomes. As the practice matures, scope will expand to client-facing operational workflows. This is a new function at FraudNet. You'll define the playbook, not inherit one. If you're energized by ambiguity and want to shape how AI transforms regulated operations from the ground up, this role is for you. Key Responsibilities Process Design and Architecture Map complex business processes in fraud detection, AML compliance, and risk management. Design human-AI workflows where AI agents handle routine tasks while humans focus on high-value judgement calls. Architect scalable systems that can grow from pilot programs to enterprise-wide deployments. Document and standardize AI agent integration patterns for consistent implementation. AI Agent Implementation Deploy and configure AI agents (primarily Claude-based) for specific business processes. Train and optimize AI agents to handle domain-specific fraud/AML scenarios. Design feedback loops to continuously improve AI agent performance based on business outcomes. Troubleshoot and refine AI agent behavior when processes don't perform as expected. Operations Optimization Analyze current workflows to identify opportunities for AI enhancement. Measure and report on efficiency gains , cost savings, and quality improvements from AI implementations. Lead cross-functional projects to rollout AI-enhanced processes across teams. Collaborate with engineering to integrate AI agents with existing systems and databases. Change Management & Training Guide teams through AI adoption , addressing concerns and building confidence in new workflows. Develop training materials for AI-enhanced processes and tools. Champion best practices for human-AI collaboration across the organization. Communicate results and recommendations to leadership through presentations and reports. Required Qualifications 3-7 years of business analysis or operations experience with a track record of complex workflows. Hands‑on experience with AI (especially Anthropic Claude, ChatGPT, or similar). This is core to the role, not a nice‑to‑have. System design experience including process mapping, workflow architecture, and cross‑functional coordination. Business operations understanding with experience in process optimization, efficiency analysis, and performance measurement. Project management skills with experience leading initiatives that span multiple teams and stakeholders. Technical Skills AI agent familiarity: comfortable working with AI systems, understanding their capabilities and limitations. Process mapping: Experience with workflow design tools (Lucidchart, Miro, Visio) and methodologies. Data analysis: SQL, Excel, and basic business intelligence tools for measuring process performance. Documentation: Strong technical writing skills for process documentation and training materials. Integration thinking: Understanding of how systems connect and data flows between applications. Additional Skills Industry certifications in business analysis, process improvement, or project management. Technical background with software development or system implementation experience. Startup experience with comfort in fast‑paced, high‑growth environments. Fraud/AML domain knowledge or experience in financial services compliance. Advanced AI knowledge including prompt engineering, fine‑tuning, or AI system architecture. Preferred Qualifications Financial services, compliance, or risk management experience (ideal but not required). Process automation experience with tools like Zapier, Power Automate, or similar platforms. Consulting background with client‑facing project delivery experience. Change management experience helping teams adopt new technologies and processes. Education Bachelor's degree required in Business, Engineering, Computer Science, Information Systems, or related field. MBA preferred for senior‑level candidates but not required with strong experience. What We're Looking For (Beyond the Resume) Mindset and Approach AI‑curious and optimistic about the potential of AI to transform business operations. Systems thinker who can see how individual processes fit into larger operational frameworks. Comfortable with ambiguity – we're building something new, and not all answers exist yet. Results‑oriented with focus on measurable business impact rather than just process completion. Collaborative with ability to work across technical and business teams. Communication Style Clear and concise when explaining complex technical concepts to non‑technical stakeholders. Good listener who can understand business problems and translate them into process solutions. Confident presenter comfortable sharing recommendations with senior leadership. Patient teacher when training teams on new AI‑enhanced workflows. Work Authorization Requirement We are unable to sponsor employment‑based visas at this time (including but not limited to H‑1B, O‑1, and TN). We are only considering candidates who are authorized to work in the United States without the need for current or future visa sponsorship, including F‑1 student visa work authorization such as CPT or OPT. This requirement is based on our internal policies and current operational capacity, and is not related to any protected characteristic such as citizenship, immigration status, or national origin. Employment for this role is contingent upon successfully passing a background check, in accordance with company policies and applicable laws. Salary Range NYC: $135,000 - $155,000 base salary Performance bonus: based on individual and company performance Equity package: stock option grant as part of offer package, vesting over 4 years with 1‑year cliff. FraudNet is a high‑growth company — equity is a meaningful component of total compensation. Please note: Eligibility for certain benefits may vary based on employment status. Health Insurance (including medical, dental, and vision coverage) Paid Time Off Paid Holidays Family and Medical Leave FSA Learning and development stipend ($2,500/year) for AI courses, conferences, certifications. Latest hardware (MacBook Pro, external monitor, ergonomic setup). Growth & Development Mentorship program pairing you with senior operations leaders. AI research time (10% of time) to explore new AI tools and techniques relevant to our business. Career progression with clear path to Senior Analyst, Principal Analyst, and eventual team leadership. Cross‑functional exposure working directly with engineering, product, and client teams. The advertised pay scale reflects the good faith minimum and maximum salary range for this role and does not constitute an offer or contract of employment. The specific compensation offered to a candidate may depend on a variety of factors including, but not limited to, experience, education, special licensing or qualifications, and other relevant factors. All compensation decisions are made in accordance with the Company's compensation policies and applicable legal requirements. Total compensation may also include additional elements such as bonuses and benefits. Fraud.net Inc is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. #J-18808-Ljbffr Fraud.net Inc.