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Data Analyst

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TITLE: Data Analyst (Energy Compliance)

LOCATION: Houston, Texas

TYPE: Direct Hire

SALARY: $95,000 - $105,000

SUMMARY:

The Data Analyst will help to build and maintain a robust data and analytics capability to deliver market compliance objectives.

DUTIES:

  • Coordinate with US IT team and other global IT teams to develop and implement market compliance monitoring tools.
  • Develop and design data strategies to quickly assimilate both structured and unstructured data for analysis.
  • Review and interrogate AI or Machine Learning strategies used for trading.
  • Conduct ad hoc unstructured data analysis to probe and test data design and identify new trading pattern anomalies and potential new compliance screens.
  • Assist the Energy Compliance Director to develop and implement the required control process for company’s comprehensive monitoring and surveillance program.
  • Develop, validate, and deploy machine learning algorithms to solve false positive alert and other complex business challenges.
  • Implement data anomaly detection systems to identify and mitigate risks.
  • Conduct in-depth statistical analysis and modeling to extract actionable insights.
  • Create compelling data visualizations to communicate findings to stakeholders.

REQUIREMENTS:

  • 3+ years of experience in data science, with a focus on data analysis and machine learning model development, or data monitoring system implementation, 2 years of experience in Energy Trading Firm or 2 years of experience in compliance role.
  • Experience in the energy trading or financial markets is preferred.
  • Experience in a Market Compliance role or an equivalent market compliance role at an exchange, ISO/RTO, or governmental regulatory oversight body is a plus.
  • Demonstrated understanding of the CFTC’s Division of Enforcement and FERC’s
  • Proficiency in PowerPoint, Word, Advanced Excel, Outlook, Power BI, Python, SQL, Spotfire, Nasdaq SMARTS, MS Power Query, Alteryx.
  • Advanced skills in Python, Java, C++, or other language tools.

EDUCATION:

  • Bachelors or Master’s in Computer Science, Statistics, Mathematics, Data Analysis, Machine Learning or a related field