Description:
At VIVID QUEST AI, we are committed to preparing the next generation of financial professionals. Our internship program combines structured training with hands-on project experience in Financial Analytics and Cloud Technologies. We work across industries like Finance, Retail, Logistics, and Biotech, equipping participants with the skills to address real-world challenges in financial data analysis and decision-making.
This is an unpaid internship designed to help you gain practical financial skills, real-world exposure, and mentorship to advance your career in financial analytics.
Key Responsibilities
As a Trainee Financial Analyst, you will:
- Participate in training sessions to develop expertise in Python, SQL, Tableau, Excel, and cloud platforms like AWS and Azure.
- Assist in analyzing financial data, including revenue forecasts, budgeting, and variance analysis.
- Clean, transform, and visualize financial datasets to derive actionable insights.
- Conduct Exploratory Data Analysis (EDA) to support data-driven decisions in the financial domain.
- Use AWS and Azure to manage and analyze large financial datasets for client projects.
- Build dashboards and reports to present insights on financial performance, investment opportunities, and risk management.
- Collaborate with teams to optimize workflows and solve complex financial business challenges.
What We’re Looking For
We’re seeking candidates who:
- Are enthusiastic about learning and developing skills in Financial Analytics.
- Have basic knowledge of Python, SQL, or Excel (preferred but not required).
- Are curious to explore cloud technologies like AWS and Azure for financial applications.
- Possess strong analytical thinking, problem-solving skills, and attention to detail.
- Are self-motivated, detail-oriented, and comfortable working in a remote setup.
- Have a keen interest in financial data analysis, forecasting, and reporting.
- What We OfferStructured Training: Hands-on learning tailored to financial data challenges and real-world scenarios.
- Cloud Expertise: Gain practical experience using AWS and Azure for managing and analyzing financial data.
- Financial Domain Knowledge: Learn how to analyze financial statements, conduct risk assessments, and evaluate profitability and investment opportunities.
- Real-World Exposure: Work on live projects simulating financial industry scenarios.
- Mentorship: Learn from experienced professionals who guide your development in financial analytics.
- Career Preparation: Build skills and confidence to advance in the financial analytics field.