Senior Pandas Developer with Stock Market Data
- Full-time
Company Description
We are a startup working on an investing platform for algo trading
Job Description
Job Description: We are seeking a highly skilled Senior Python Developer with extensive experience in using Pandas for data manipulation and analysis, particularly in the context of stock market data. The ideal candidate will have a strong background in financial data analysis, excellent problem-solving skills, and the ability to work effectively in a fast-paced environment.
Key Responsibilities:
- Develop and maintain Python applications for processing and analyzing stock market data.
- Utilize Pandas for data manipulation, cleaning, and analysis.
- Design and implement efficient data pipelines and workflows.
- Collaborate with data scientists and analysts to develop and optimize algorithms.
- Ensure the accuracy and integrity of financial data.
- Troubleshoot and resolve issues related to data processing and analysis.
- Stay up-to-date with the latest trends and technologies in financial data analysis.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, or a related field.
- 5+ years of experience in Python development, with a focus on data analysis using Pandas.
- Strong understanding of stock market data and financial instruments.
- Experience with other data analysis libraries such as NumPy, SciPy, and scikit-learn.
- Proficiency in SQL and experience with relational databases.
- Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork skills.
Preferred Qualifications:
- Knowledge of machine learning and statistical analysis.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Benefits:
- Competitive salary and performance-based bonuses.
- Stock options and equity participation.
- Comprehensive health, dental, and vision insurance.
- Flexible working hours and remote work options.
- Professional development opportunities and continuous learning.
- Collaborative and inclusive work environment.