Company Description
nWe are a startup working on an investing platform for algo trading
nJob Description
nJob 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.
nKey Responsibilities:
- nDevelop and maintain Python applications for processing and analyzing stock market data.
- nUtilize Pandas for data manipulation, cleaning, and analysis.
- nDesign and implement efficient data pipelines and workflows.
- nCollaborate with data scientists and analysts to develop and optimize algorithms.
- nEnsure the accuracy and integrity of financial data.
- nTroubleshoot and resolve issues related to data processing and analysis.
- nStay up-to-date with the latest trends and technologies in financial data analysis.
nQualifications:
- nBachelors or Masters degree in Computer Science, Engineering, Finance, or a related field.
- n5+ years of experience in Python development, with a focus on data analysis using Pandas.
- nStrong understanding of stock market data and financial instruments.
- nExperience with other data analysis libraries such as NumPy, SciPy, and scikit-learn.
- nProficiency in SQL and experience with relational databases.
- nFamiliarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
- nExcellent problem-solving skills and attention to detail.
- nStrong communication and teamwork skills.
nPreferred Qualifications:
- nKnowledge of machine learning and statistical analysis.
- nExperience with cloud platforms such as AWS, Azure, or Google Cloud.
nBenefits:
- nCompetitive salary and performance-based bonuses.
- nStock options and equity participation.
- nComprehensive health, dental, and vision insurance.
- nFlexible working hours and remote work options.
- nProfessional development opportunities and continuous learning.
- nCollaborative and inclusive work environment.
