Senior Associate, Risk Analytics (AI)

Location: New York, New York; Miami, Florida; or remote in the United States. U.S.-based employees may work through a hybrid hub-office approach or as part of the remote workforce; all employees must complete in-person onboarding at a hirify.global office.

Base salary: $99,400–$142,000 annually in New York, excluding discretionary bonus and equity.

Company

hirify.global is a publicly traded crypto and Web3 platform providing secure digital-asset products and services to individuals and institutions in more than 70 countries.

What you will do

• Design and implement automated continuous control monitoring across credit, fraud, operational, and compliance risk domains.
• Develop and deploy AI agents for control monitoring, anomaly detection, root-cause analysis, and risk-mitigation recommendations.
• Analyze complex enterprise datasets to develop predictive models and risk-detection tools.
• Maintain the AI and model risk inventory and create dashboards tracking Key Risk Indicators against risk appetite.
• Partner with Risk Engineering, Identity, Product, Engineering, Data, Compliance, and Operations teams to instrument risk telemetry.
• Provide training and clear communication on agentic outputs while maintaining human-in-the-loop oversight.

Requirements

• Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Finance, or Engineering.
• 3–5 years of experience in risk management, analytics, or a related technical domain.
• Strong SQL and relational database skills with intermediate-to-advanced Python ability.
• Experience or strong familiarity with building or deploying AI agents, including LangChain, AutoGen, or similar orchestration frameworks, and integrating large language models.
• Experience designing or maintaining automated data-quality, observability, or control-monitoring systems.
• Ability to translate complex data and AI outputs into actionable reporting for senior stakeholders and operate effectively in ambiguity.

Nice to have

• Experience with Tableau, Looker, or other business intelligence and data visualization tools.
• Model risk management experience and knowledge of MAS AI MRM supervisory expectations.
• Experience with AWS Bedrock, GCP, open-source LLMs, MLOps, or AIOps, including CI/CD pipelines for AI/ML models.

Culture & Benefits

• Hybrid work at U.S. hub offices or remote work for employees who do not live near a hub.
• Comprehensive health plans and a 401(k) with company matching.
• Paid parental leave and flexible time off.
• Discretionary annual bonus and long-term incentive through a new-hire equity grant.
• Collaborative work across technology, legal, operational, engineering, data, compliance, and product functions.