Quantitative Threat Forecasting Analyst
Quantitative Threat Forecasting Analyst
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USD 320000 - 425000
1 Vacancy
Job Description
About the Team
The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends analyzing risks and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAIs overarching goal of developing AI that benefits humanity.
Were looking for a world-class quantitative analyst to build the predictive backbone of this missionsomeone who thrives on modeling ambiguity forecasting high-stakes outcomes and translating messy sparse or fast-moving data into decision-ready insight.
About the Role
As a Quantitative Threat Forecasting Analyst youll design and deploy statistical models that forecast threat emergence detect anomalies and quantify riskoften when signal is weak timelines are short and the stakes are high. Your work will power both tactical responses to abuse and strategic decisions about how we evolve our safety detection investigation and analysis systems.
This is a rare opportunity to apply advanced statistical modeling risk analytics and real-world inference to one of the most consequential safety challenges of our time.
This role is based in San Francisco CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role you will:
Design probabilistic & Bayesian models using PyMC NumPyro (JAXaccelerated HMC/NUTS) and TensorFlowProbability to capture uncertainty at scale.
Build classical and deeplearning forecasts with statsmodels baselines plus stateoftheart libraries like Darts GluonTS Chronos sktime and Nixtlas MLForecast for multivariate or longhorizon timeseries problems.
Develop realtime anomalydetection pipelines leveraging PyOD2.0 for GPUready detectors and River for streaming/online ML on telemetry data.
Apply survivalanalysis and rareevent methods (e.g. Cox PH randomsurvivalforests DeepSurv) via scikitsurvival to model threat lifecycles and hazard rates.
Run stress tests & MonteCarlo simulations to evaluate the likelihood and impact of lowfrequency highseverity threats; translate findings into resilient safetyengineering requirements.
Collaborate across disciplinesinvestigations engineering policyto embed statistical rigor into threat prioritization guardrails and product decisions.
Communicate insights through clear briefs dashboards and visualizations that drive executive action.
Own production pipelines in Python/JAX/PyTorch or R using SQL or Sparklike engines (DuckDB BigQuery Snowflake) and GPU/TPU acceleration where appropriate.
You might thrive in this role if you:
5 years experience in a quantitative research forecasting or risk modeling role in finance tech safety security or public policy
Deep fluency in statistical inference forecasting uncertainty quantification and decision modelingespecially under sparse or adversarial data conditions.
Demonstrated impact: youve shipped models that directly informed capital allocation fraud prevention incident response or safety interventions.
Expertise with modern toolchainsNumPyro TensorFlowProbability PyMC Darts GluonTS/Chronos sktime PyOD2.0 River scikitsurvivaland readiness to evaluate emerging libraries as the field evolves.
Strong coding skills (Python/JAX/PyTorch or R) and dataengineering fundamentals (SQL Spark data warehousing).
Crisp communicator able to influence multidisciplinary partners and executives.
Comfort navigating imperfect data and prioritizing under uncertainty in a rapidly changing threat landscape.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.
We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.
For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public information. In addition job duties require access to secure and protected information technology systems and related data security obligations.
We are committed to providing reasonable accommodations to applicants with disabilities and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI we believe artificial intelligence has the potential to help people solve immense global challenges and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Required Experience:
IC
Employment Type
Full-Time
