
Senior Data Analyst
5 days ago
About Us:
TalentMine is a venture-backed startup based in New York City, focusing on cutting-edge projects at the intersection of finance and technology.
Our founder has been featured in prominent publications such as the WSJ, Bloomberg, and Economist. We are looking for a skilled Senior Data Scientist to join our team.
Position Overview:
This role focuses on equities, crypto, and factor analysis, blending rigorous research with deployment and production responsibilities. You will work closely with our investment and tech teams to develop data-driven insights and contribute directly to our investment strategies.
Key Responsibilities:
- Conduct research and analysis on equities, crypto assets, and factors influencing market behavior.
- Develop, test, and deploy data models using Python (PyTorch, TensorFlow, scikit-learn).
- Integrate and manage APIs, and set up interactive dashboards for real-time data visualization.
- Utilize quantitative finance libraries (Pandas, NumPy, QuantLib) for data manipulation and model development.
- Collaborate with cross-functional teams to integrate data science insights into our broader investment processes.
Ideal Candidate Profile:
- Bachelor's degree in Data Science, Statistics, Computer Science, Finance, or a related field (Master's degree preferred).
- 3-5 years of experience in data science, with a strong focus on financial markets.
- Proficiency in Python, including deep learning frameworks (PyTorch, TensorFlow) and machine learning libraries (scikit-learn).
- Demonstrated experience in integrating APIs and building user-friendly dashboards.
- A proven track record of competing in data science competitions (e.g., Kaggle) is a strong plus.
- Strong knowledge of quantitative finance and statistical analysis, including experience with relevant libraries (Pandas, NumPy, QuantLib).
Benefits:
- Competitive compensation package.
- Opportunity to work on cutting-edge projects.
- Collaborative and innovative team environment.
To Apply:
Please submit your resume and a link to your Kaggle profile or relevant data science projects using this link: Application Link.
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