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Remote · New York, US
$99k–142k
senior
2 months ago
full-time
quality 8.6/10
closed
- Continuous Control Monitoring
- Lead the design and implementation of an automated, continuous monitoring framework that spans all enterprise risk domains (Credit, Fraud, Operational, Compliance). Move the firm away from periodic/manual checks toward real-time observability.
- Agentic Risk Infrastructure
- Scale our risk management capabilities by developing and deploying AI agents to monitor control activities. Orchestrate agentic workflows to perform proactive anomaly detection, perform root-cause analysis on incidents, and suggest risk mitigation actions.
- Enterprise Risk Analytics
- Interpret large, complex datasets to formulate problem statements and generate insights across all business verticals. Develop predictive models and detection tools that reduce risk exposure and enhance operational efficiency.
- Risk Governance & Reporting
- Maintain a comprehensive view of the AI and model risk inventory. Develop automated dashboards that provide senior management with a "solid analytical story," leveraging BI tools to track Key Risk Indicators (KRIs) against appetite.
- Cross-Functional Collaboration
- Partner with the Risk Engineering, Identity, and Product teams to ensure risk telemetry is properly instrumented. Provide clear communication and training on how to interpret agentic outputs and maintain human-in-the-loop oversight.
Minimum Qualifications:
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Finance, Engineering).
- 3–5 years of experience in risk management, analytics, or a related technical domain.
- Technical Proficiency: Strong SQL and relational database skills; intermediate-to-advanced Python ability.
- AI/Agentic Frameworks: Demonstrated experience or strong familiarity with building or deploying AI agents (e.g., LangChain, AutoGen, or similar orchestration frameworks) and large language model integration.
- Continuous Monitoring: Experience designing or maintaining automated systems for data quality, observability, or control monitoring.
- Data Communication: Ability to translate complex data and AI output into clear, actionable reporting for senior stakeholders.
- Mindset: A "no-task-is-too-small" attitude, combined with the ability to operate in ambiguity and a healthy balance of empathy and skepticism toward automated systems.
Preferred Qualifications:
- Experience with Business Intelligence and Data Visualization (Tableau, Looker).
- Prior experience in model risk management (MRM) and knowledge of MAS AI MRM supervisory expectations.
- Experience with AWS Bedrock, GCP and opensource LLMS.
- Experience in MLOps or AIOps (e.g., CI/CD pipelines for AI/ML models).
It Pays to Work Here
The compensation & benefits package for this role includes:
- Competitive starting pay
- A discretionary annual bonus
- Long-term incentive in the form of a new hire equity grant
- Comprehensive health plans
- 401K with company matching
- Paid Parental Leave
- Flexible time off
Salary Range
The base salary range for this role is between $99,400 - $142,000 in the State of New York. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.