Senior Financial Data Scientist

4 weeks ago


Olympia, United States Apex Systems Full time

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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