A key Optimus client is currently seeking a highly skilled and experienced Quantitative Analyst to join their team. This individual will have a direct impact on formulating trade ideas for the desk and will assist Traders in developing congestion analysis to build a CRR portfolio and maintain broader market data to examine the ISO.
Key Responsibilities:
Conduct quantitative analysis of market data, historical trading performance, and trading strategies to enhance decision-making and risk management
Collaborate with traders to design and implement trading models, algorithms, and tools that improve trading performance and efficiency
Assist in the development and maintenance of risk management models and tools to identify and mitigate potential trading risks
Analyze large datasets to uncover patterns, correlations, and market trends that can inform trading strategies
Stay updated with market developments, news, and emerging trends to provide traders with timely insights
Prepare regular reports summarizing trading performance, model performance, and risk metrics for traders and senior management
Collaborate closely with traders to refine and improve trading strategies and models
Qualification:
Bachelor's degree in finance, Mathematics, Statistics, or other quantitative field
Coding skills utilizing Excel, VBA, SQL, Python, etc
Minimum of 3-5 years of experience in the power markets. ERCOT experience is a plus.
Comfortable capturing and analyzing large data sets.
Strong proficiency in quantitative analysis, statistical modelling, and data analysis
Knowledge of financial markets and trading strategies
Excellence in problem-solving skills, communication and presentation abilities and attention to detail