Quant Analyst

As a Quant Analyst at our company, your role will involve the development and validation of models to estimate power demand, generation, and nodal prices. You will collaborate closely with traders to optimize portfolio construction using engineering techniques. Our expectation is for you to immerse yourself in energy markets, applying innovative quantitative methods. Additionally, you will work with the risk management team to analyze and mitigate risks in our power trading business. Key Responsibilities: - Work with the nodal trading team to develop, manage, and extend quantitative models for nodal power markets. - Perform statistical analysis of electricity nodal market price and demand data. - Build statistical load/generation models using Time Series and Regression-based techniques. - Apply financial engineering techniques/models to enhance portfolio construction. - Develop metrics to quantify market attributes and generate reports on market behavior. - Utilize Data Mining techniques to identify signals in semi-structured data sets. Qualifications Required: - Bachelor's degree in Financial Engineering, Mathematics, Applied Mathematics, Operations Research, Electrical Engineering, Computer Science, Industrial Engineering, or Statistics. - Experience in developing, maintaining, and supporting analytical libraries and pricing models. - Proficiency in Python programming and working with SQL databases. - Knowledge of statistical and probability principles in Finance. - Familiarity with optimization techniques and statistical learning methods. - Commercial interest in understanding Energy Markets. - Entrepreneurial mindset with the ability to accomplish tasks under pressure and a desire to work collaboratively in a team-oriented environment. Experience: 2-4 years (Note: No additional details about the company were included in the job description provided.),