Surveillance Analyst

This position is located in the Surveillance Branch within the Division of Enforcement. The Branch is responsible for the development, management, and evaluation of the Commission's market surveillance program.

Conduct in-depth market, trading, economic, statistical, and data analyses of a wide variety of commodity derivatives market data, including futures, options, swaps, digital assets, and prediction markets, along with related cash market products. Analyze trading by individuals and groups of traders in relation to price movements, price relationships, open interest, and volume of trading, applying sophisticated economic and statistical techniques to determine whether such activity represents basic supply and demand forces or potential artificial market disruption. Analyze elements of proof in market abuse and market/price manipulation cases, evaluate results, and prepare detailed reports incorporating tabular data and graphical data analysis for use by Commission Enforcement staff. Build and assist in the development of business intelligence dashboards in tools like Tableau or Allium to drive insights from complex datasets. Participate in the development of software prototypes to advance and automate surveillance techniques in support of the Branch's mission in a rapidly expanding and innovative industry. Strategic and Advisory Duties: Serve as a trusted advisor, translating analytic findings for attorney teams and senior leadership. Guide the successful completion of major projects, including reviewing output from data science professionals and other analysts to support tool development and an increased understanding of covered markets. Support the development of the agency's AI and data analytics strategy.

You will be evaluated on the basis of your level of competency (knowledge, skills and abilities) in the following areas: 1. Responsible and Ethical AI Use Knowledge and skills to apply AI in ways that protect personal/professional security, mitigate harm, and ensure mindful, informed, and productive interaction. This includes understanding bias, privacy, governance, and compliance 2. Identifying Data Limitations Ability to recognize AI's constraints, assess data quality, and evaluate outputs for accuracy, completeness, and relevance 3. Data Analysis Skills in selecting, preparing, managing, and analyzing data to meet project goals, including statistical methods, visualization, and domain-specific analytics. 4. Machine Learning (ML) Competencies Understanding of ML concepts, algorithms, and applications, plus the ability to research, develop, and deploy generative AI tools and methodologies 5. AI Logic Competencies Knowledge of symbolic/logic-based AI, reasoning processes, and strategic decisions about when and how to apply these approaches. 6. AI Literacy and Problem Solving Foundational understanding of AI capabilities, limitations, risks, and when human. 7. Workflow Automation and AI Agent Orchestration Skills to design processes where AI handles repetitive tasks, and to manage multi-step AI agent workflows 8. AI Output Evaluation Critical review of AI results for factual accuracy, logic, and alignment with objectives

There is no Education Requirement for the position.