Intern - Finance, Accounting & Market Risk

esVolta•Newport Beach, CA

3d•$30 - $30•Hybrid

About The Position

We are seeking motivated and talented individuals to join us for an eight-week summer internship within our Finance/Accounting/Market Risk Control department. Internships at esVolta aim to offer students industry exposure and hands-on experience. This role provides hands-on experience in energy trading, market risk management, quantitative analysis, credit risk management, accounting, business intelligence, and workflow automation, helping you build a strong foundation in renewable energy trading, risk management, accounting foundations and risk reporting.

Requirements

Currently pursuing a bachelor’s or master’s degree in data science, quantitative finance, risk, information systems, business analytics, or a related field.
Strong analytical, problem-solving, and organizational skills.
Excellent communication skills and a proactive, detail-oriented attitude.

Nice To Haves

Familiarity with Excel, Python, SQL, and data visualization tools like Tableau or Power BI is a plus.

Responsibilities

Support Market Risk Control in migrating eight reports from Excel to AI tools, utilizing coding when and if necessary. Create a reconciliation tool that will compare current results, which will continue to be executed for accuracy, to prove consistency and accuracy.
Support accounting in mapping current manual and Excel actions into AI tools, utilizing coding when and if necessary.
Document internal data sources, create visual data flow representations, and identify opportunities for improving data consistency and efficiency.
Collaborate with cross-functional teams, analyze current workflows, identify inefficiencies, and assist in developing actionable recommendations.
Map and document internal data sources and systems across departments.
Develop visual data flow diagrams to illustrate information movement.
Identify gaps and inefficiencies in data processes and propose solutions.
Collaborate with teams to understand data usage, challenges, and requirements.
Assist in creating guidelines and best practices for effective data management.
Research automation and technology solutions to enhance workflows.
Present insights and findings to stakeholders to aid decision-making.