Location: Remote
Elkan Investment Group is seeking a Quant Analyst Intern for an 8-week summer internship designed for college students interested in applying machine learning (ML), data modeling / pipeline, and statistical analysis to real-world business problems. This program provides hands-on experience with Python, Pandas, NumPy, and ML algorithms, allowing interns to develop predictive models and data-driven insights while working on practical projects.
What You’ll Do
- Perform data cleaning, preprocessing, and feature engineering using Python (Pandas, NumPy, Scikit-learn).
- Apply machine learning models to solve business problems, such as classification, regression, and clustering.
- Develop predictive models and evaluate their performance using statistical metrics.
- Learn data visualization techniques to present insights using Matplotlib, Seaborn, and Tableau.
- Implement A/B testing and hypothesis testing to support data-driven decision-making.
- Collaborate with data engineers and analysts to optimize data pipelines and workflows.
- Document findings and present results to technical and non-technical stakeholders.
Who You Are
- Current college student pursuing a degree in Engineering, Computer Science, Data Science, Business Analytics, or a related field.
- Interested in Python, Pandas, NumPy, and some machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch).
- Experience with data manipulation, feature engineering, and model evaluation.
- Understanding of statistical concepts, probability, and hypothesis testing.
- Familiarity with SQL for data extraction and manipulation is a plus.
- Strong problem-solving skills and ability to translate business questions into data-driven solutions.
- Effective communicator who can visualize and present insights in an intuitive way.
Why Join Us?
- 8-week internship program designed for hands-on learning and skill-building.
- Gain experience working on real business data projects with mentorship from experienced professionals.
- Get exposure to Python coding and modeling for data analysis.
- Learn Tableau and data visualization techniques that are highly valuable in the industry.
- Build connections with data professionals and industry experts.
- Opportunity to develop a portfolio of data projects to showcase your skills.