Strategic Quantitative Risk Intelligence Analyst

United States Digital Space LLC; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation support

Hybrid work model

Job summary

United States Digital Space LLC is seeking a Quantitative Intelligence Analyst to identify emerging risks in complex human–AI systems and translate ambiguous signals into measurable insights. You will build analytic models that explain how harms could emerge and inform risk prioritization across product and policy domains.

The role is based in the United States with a hybrid in-office schedule (3 days/week) and relocation support.

Qualifications

• 3+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research.
• Familiarity with data mining, statistical modeling, and supervised learning methods.
• Comfortable working with Python and SQL.
• Experience in operationalizing adversarial or strategic risk behaviours, including red-team exercises or scenario analyses.

Responsibilities

• Discover and define new quantitative risk signals where no established metrics exist.
• Translate complex trust and safety challenges into measurable signals that can be tracked.
• Develop upstream early-warning and signal frameworks for downstream detection and mitigation.
• Analyze risk trends to identify drivers and causal factors behind changes.
• Conduct data mining and statistical modeling to understand how risks originate and evolve.
• Design adversarial scenarios and quantitative stress tests for exposure assessment.
• Produce clear data-driven briefs to support risk prioritization and planning.

Skills

Python

SQL

Data mining

Statistical modeling

Supervised learning

Red-team exercises

Adversarial risk analysis

Job description

United States Digital Space LLC is seeking a Quantitative Intelligence Analyst to identify emerging risks in complex human–AI systems and translate ambiguous signals into measurable insights. You will build analytic models that explain how harms could emerge and inform risk prioritization across product and policy domains.

The role is based in the United States with a hybrid in-office schedule (3 days/week) and relocation support.