Senior Financial Data Scientist
2 weeks ago
We are seeking a highly skilled and experienced Senior Financial Data Scientist who has a knack for working with the business to understand business process. The ideal candidate will have a strong background in the finance domain, with a proven track record of developing and operationalizing data-driven solutions. Candidates that apply need to have worked in an AWS cloud environment.
This position will start out by being a 3 month contract, could get extended based on performance and client budget. No C2C and No 3rd party vendors.
Responsibilities:
- Develop and operationalize production-grade data products and solutions within the financial domain.
- Collect, integrate, process, and analyze large datasets efficiently to drive business decisions.
- Apply sound knowledge of data science and machine learning algorithms to solve complex financial problems.
- Demonstrate a high degree of proficiency in Python and SQL for data analysis and modeling tasks.
- Collaborate with application developers to design and develop insightful data visualizations using tools like highcharts.js and Plot.ly
- Utilize AWS cloud and analytics services to enhance data processing and storage capabilities.
- Analyze, summarize, and present quantitative and qualitative information in a clear and cogent manner to stakeholders.
- Maintain and improve data analysis workflows using version control systems such as Git, GitLab, or GitHub
- Champion the implementation of industry standards and best coding practices to maintain high-quality codebases.
Qualifications:
- 3-5 years of experience in financial data science or a related finance domain.
- 3-5 years of experience in developing and operationalizing data products/solutions.
- 3-5 years of experience in data collection, integration, processing, and analysis.
- 2-3 years of experience with AWS cloud services and analytics tools.
- 3-5 years of experience with version control workflows and technologies.
- A passion for excellence and continuous improvement in the field of data science.
Education:
- A bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A master's degree or higher is preferred.
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