Compliance Audit/Investigator

The Cboe Regulatory Division (the “Division”) is actively seeking a highly motivated, technically proficient individual to join our Cross Market Surveillance team. The investigator will conduct real-time and pattern-based surveillance to assist in determinations of potential rule violations of Cboe Options and CFE Futures Exchanges (collectively, the “Exchanges”) Rules, along with other applicable rules and regulations governing Exchange Members and Trading Permit Holders (“TPH”).

Conduct surveillance and analysis of order entry and trading activity on the Exchanges to detect potential violations of Cboe and CFE rules and policies, with heavy use of Python (pandas) and advanced Excel (Power Query, pivot tables, complex formulas).

Leveraged AI-assisted analytics and Python (pandas, NumPy) to identify patterns in cross-market trading activity, improving surveillance signal quality, reducing manual review time, and accelerating end-to-end investigations.

Investigate alerts end-to-end: triage, validate, enrich with contextual data, reconstruct timelines, and document detailed findings suitable for review and potential escalation.

Analyze and compile data into meaningful summaries and investigative narratives; Contribute to new surveillance processes and operational methodologies, including data pipelines, query logic, and tuning of alert thresholds to address evolving regulatory concerns.

Conduct rule-based investigations to ensure compliance with Exchanges rules; prepare structured memos that clearly lay out evidence, rationale, and conclusions.

Develop and maintain deep understanding of the Exchanges’ regulatory environment, relevant rules and regulations, market microstructure, technologies and systems, and investigative/examination techniques.

Collaborate with cross-functional partners, particularly the Options Investigations team, to improve signal quality, share insights, and deliver effective, efficient surveillance outcomes.

Participate in special projects (e.g., backtesting surveillance logic, data quality audits, automation of repetitive workflows, and retrospective reviews).

Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Bachelor’s degree required; economics, business, accounting, finance, statistics, computer science, or related fields (preferred). MS in Data Science/Statistics/Economics/Finance, MBA).

2+ years of experience in the securities/trading industry (derivatives experience preferred), ideally in surveillance, compliance, or risk.

Python (pandas, numpy; comfort with Jupyter notebooks and reproducible analysis).

Excel (advanced): Power Query, pivot tables, nested formulas, data cleansing, reconciliation.

SQL: ability to write performant queries, joins, window functions, and QA data outputs.

Preferred data stack exposure: SIGMA, Snowflake, and Big Data SQL environments for large-scale investigative analysis.

Exceptional analytical and research skills, with the ability to apply both quantitative and qualitative analysis to ambiguous, detail-heavy problems.

Clear and effective communication skills (written and verbal)-capable of distilling complex market activity into concise, structured findings.

experience with versioning of analyses and artifacts (e.g., Experience with relational databases SQL, VBA, or Access for workflow automation.

Experience with SMARTS Trade System Surveillance software.

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