Vistas Energy

Job Summary: Execute high-frequency, high-precision trading strategies within U.S. electricity markets, primarily focusing on Financial Transmission Rights (FTRs) and virtual transactions across PJM, MISO, ERCOT, CAISO, and SPP. This role requires a deep understanding of market dynamics, power-flow modeling, and risk management. The ideal candidate will leverage our in-house technology platform and collaborate with a team of veteran traders and engineers to optimize trading performance and manage market exposure.

Key Responsibilities:

• Develop, implement, and execute FTR and virtual trading strategies.
• Monitor real-time market conditions, including congestion patterns, weather data, and outage schedules.
• Utilize proprietary analytical tools and models for decision-making.
• Manage and mitigate trading risks in accordance with established risk controls.
• Collaborate with the technology team to enhance trading systems and tools.
• Conduct post-trade analysis to identify opportunities for improvement.
• Stay abreast of regulatory changes and market rule updates.

Qualifications:

• Bachelor's degree in Finance, Economics, Engineering, or a related quantitative field.
• Minimum of 5 years of direct experience in FTR and/or virtual electricity market trading.
• Proven track record of profitability and effective risk management.
• Strong analytical and quantitative skills.
• Proficiency with trading platforms and market data systems.
• Excellent communication and teamwork abilities.
• Ability to thrive in a fast-paced, high-pressure environment.

Job Summary: Support the trading team by conducting in-depth market research, data analysis, and model development related to Financial Transmission Rights (FTRs) and U.S. electricity markets. This role is crucial for providing actionable insights that inform trading strategies and enhance our proprietary technology platform. The FTR Analyst will work closely with traders and engineers to identify market inefficiencies and opportunities.

Key Responsibilities:

• Collect, clean, and analyze large datasets related to electricity markets, including historical prices, congestion, weather, and outage data.
• Develop and maintain analytical models for FTR valuation, market forecasting, and risk assessment.
• Generate reports and presentations summarizing market trends and trading performance.
• Assist traders in identifying new trading opportunities and optimizing existing strategies.
• Collaborate with the technology team on the integration of new data sources and analytical tools.
• Monitor market news and regulatory developments impacting FTRs and electricity markets.
• Support ad-hoc analytical requests from the trading and management teams.

Qualifications:

• Bachelor's or Master's degree in a quantitative field such as Engineering, Mathematics, Statistics, Economics, or Computer Science.
• Minimum of 2 years of experience in energy market analysis, with exposure to FTRs preferred.
• Strong proficiency in data analysis tools (e.g., Python, R, SQL) and Excel.
• Experience with statistical modeling and predictive analytics.
• Familiarity with U.S. ISO/RTO markets (PJM, MISO, ERCOT, CAISO, SPP) is a plus.
• Excellent problem-solving skills and attention to detail.
• Ability to communicate complex analytical findings clearly.

Job Summary: A key contributor to the design, development, and maintenance of Vistas Energy's proprietary in-house technology platform. This platform is critical for real-time decision-making, high-frequency trading, and advanced analytics, integrating power-flow modeling, weather data, outage schedules, and AI-driven insights. The ideal candidate will have a strong background in building robust, scalable, and high-performance systems.

Key Responsibilities:

• Design, develop, test, and deploy software solutions for trading, analytics, and data infrastructure.
• Work on various components of the platform, including real-time data ingestion, market connectivity, quantitative models, and user interfaces.
• Optimize existing codebases for performance, scalability, and reliability.
• Collaborate closely with traders, analysts, and other engineers to gather requirements and deliver effective solutions.
• Implement and maintain automated testing and deployment pipelines.
• Participate in code reviews and contribute to architectural discussions.
• Troubleshoot and resolve software defects and performance issues.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Minimum of 3 years of professional software development experience.
• Strong proficiency in one or more programming languages (e.g., Python, C++, Java).
• Experience with database systems (SQL/NoSQL) and data modeling.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and distributed systems is a plus.
• Understanding of financial markets or energy trading concepts is beneficial but not required.
• Excellent problem-solving, debugging, and analytical skills.
• Ability to work independently and as part of a collaborative team.
• Strong communication skills.

Job Summary: Develop and deploy advanced analytical models and machine learning algorithms to extract insights from complex market data, enhancing our predictive capabilities and optimizing trading strategies. This role involves working with large datasets, designing experiments, and collaborating with traders and engineers to integrate models into the existing platform.

Key Responsibilities:

• Design, develop, and implement machine learning models for market prediction and strategy optimization.
• Perform exploratory data analysis to identify trends, patterns, and anomalies in energy market data.
• Clean, preprocess, and feature engineer large and complex datasets.
• Collaborate with software developers to deploy models into production systems.
• Evaluate model performance and continuously refine algorithms.
• Research and apply new data science techniques and technologies.
• Communicate complex analytical results to both technical and non-technical stakeholders.

Qualifications:

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 3 years of experience as a Data Scientist, preferably in finance or energy.
• Strong proficiency in Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Experience with statistical modeling, machine learning, and time series analysis.
• Proficiency with SQL and experience working with large datasets.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is a plus.
• Excellent problem-solving skills and ability to translate business problems into data science solutions.
• Strong communication and presentation skills.