
Data Scientist Leader
8 hours ago
Job Summary
We are seeking a highly skilled Senior Data Scientist to lead our data science team in developing and implementing advanced machine learning models for financial markets.
- This role involves conducting research and analysis on equities, crypto assets, and factors influencing market behavior.
- Developing, testing, and deploying data models using Python and other ML/AI tools.
- Integrating and managing APIs, and setting up interactive dashboards for real-time data visualization.
Key Responsibilities:
The ideal candidate will have a proven track record of competing in data science competitions, familiarity with data science techniques, and a strong knowledge of quantitative finance and statistical analysis.
Responsibilities include:
- Conducting research and analysis on equities, crypto assets, and factors influencing market behavior.
- Developing, testing, and deploying data models using Python and other ML/AI tools.
- Integrating and managing APIs, and setting up interactive dashboards for real-time data visualization.
- Collaborating with engineering teams to integrate and visualize data science insights into our broader investment processes.
Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Computer Science, Finance, or a related field (Master's degree preferred).
3-5 years of experience in data science, ideally with a focus on financial markets.
Demonstrated experience in integrating APIs and building user-friendly dashboards.
Strong knowledge of quantitative finance and statistical analysis, including experience with relevant libraries (Pandas, NumPy, QuantLib).
Required Attributes:
- High degree of initiative and personal drive and ability to self-learn quickly.
- Strong curiosity and passion for financial markets.
- Ability to work independently and thrive in a fast-paced, collaborative environment.
What We Offer:
- Competitive compensation and benefits package.
- Opportunity to work on cutting-edge projects in the intersection of finance and technology.
- A collaborative and innovative team environment.
To be considered, please submit your resume and a link to your Kaggle profile or relevant data science projects.
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