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24.06.2024
JPM
JPMorgan Data Scientist United States, New York, New York
Duties: Develop and support a variety of cutting edge quantitative tools to enhance JPMC’s investment process. Conduct research and ad hoc analysis on performance attribution, risk management, and portfolio construction....
DESCRIPTION:QUALIFICATIONS:Minimum education and experience required: Master’s degree in Business Analytics, Statistics, Economics or related field of study plus 3 years of experience in the job offered or as Data Scientist,...
DESCRIPTION:QUALIFICATIONS:Minimum education and experience required: Master’s degree in Statistics, Econometrics, Mathematics or related field of study plus 3 years of experience in the job offered or as Data Scientist, Business...
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.OR equivalent experience. OR equivalent experience. 1+ year experience with python or R. Ability to...
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldo OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or...
Data Analysis and Decision Making:Utilize large, complex datasets to drive improvements in developer KPIs.Employ advanced analytical and statistical techniques to identify trends, issues, and opportunities.Perform deep-dive analytics including Causal Inference...
Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights....
Duties: Develop and support a variety of cutting edge quantitative tools to enhance JPMC’s investment process. Conduct research and ad hoc analysis on performance attribution, risk management, and portfolio construction....
Data Scientists are responsible for analyzing and interpreting large and complex datasets to uncover insights that inform business decisions and drive innovation. They use a combination of statistical and machine learning techniques, as well as programming languages such as Python and R, to extract, clean, and transform data. They also use tools such as SQL, Hadoop and Spark to work with large datasets and perform data analysis.
Data Scientists work closely with cross-functional teams, such as product managers, marketing and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also collaborate with data engineers to build and maintain the infrastructure necessary for data analysis. They also use data visualization tools such as Tableau and Power BI to create interactive dashboards and reports to communicate data insights clearly and effectively to non-technical stakeholders.