Data Analyst / Data Scientist

Role Overview: You are an experienced Data Analyst / Data Scientist with a strong expertise in Python and a solid background in Financial Markets / Capital Markets. Your main responsibility will be to work on data-driven insights, analytics, and modeling to support financial domain projects. Key Responsibilities: - Perform data analysis and data science tasks using Python - Work on large datasets related to financial markets / capital markets - Develop analytical models, reports, and insights for business decision-making - Collaborate with cross-functional teams and stakeholders - Ensure data accuracy, quality, and consistency - Support projects requiring overlap with EST time zone Qualifications Required: - 6-9 years of hands-on experience in Data Analysis / Data Science - Strong proficiency in Python for data analysis and modeling - Proven experience in Financial Domain / Capital Markets - Experience with data handling, visualization, and statistical analysis - Ability to work in a hybrid work environment - Flexibility to align with project-based time zone requirements Role Overview: You are an experienced Data Analyst / Data Scientist with a strong expertise in Python and a solid background in Financial Markets / Capital Markets. Your main responsibility will be to work on data-driven insights, analytics, and modeling to support financial domain projects. Key Responsibilities: - Perform data analysis and data science tasks using Python - Work on large datasets related to financial markets / capital markets - Develop analytical models, reports, and insights for business decision-making - Collaborate with cross-functional teams and stakeholders - Ensure data accuracy, quality, and consistency - Support projects requiring overlap with EST time zone Qualifications Required: - 6-9 years of hands-on experience in Data Analysis / Data Science - Strong proficiency in Python for data analysis and modeling - Proven experience in Financial Domain / Capital Markets - Experience with data handling, visualization, and statistical analysis - Ability to work in a hybrid work environment - Flexibility to align with project-based time zone requirements