Data Analyst: Analyze financial, securities, and market datasets using SQL, Python, and statistical techniques to evaluate performance trends, asset metrics, and risk indicators. Extract and integrate data from enterprise databases and external data providers using SQL queries and Python data manipulation tools. Develop and apply statistical and machine learning models to analyze financial performance, valuation metrics, and operational outcomes. Generate analytical reports, dashboards, and visualizations summarizing model outputs and key performance indicators for management and business stakeholders. Review analytical outputs and datasets to identify anomalies or inconsistencies and coordinate resolution of data issues with relevant teams. Track analytical tasks and data issues through JIRA and maintain documentation of analytical methodologies, data sources, and reporting processes with Confluence.
Requirements: Master's degree or equivalent foreign degree in Data Science or Computer Science. 3 years of experience in data analysis or quantitative analysis required. Expertise in SQL and Python, with proficient knowledge of statistical modeling and machine learning techniques used to analyze large datasets and develop predictive analytical models. Proficient knowledge of relational database systems, data visualization tools, and collaborative platforms including JIRA and Confluence.
Minimum annual pay: $144,414
Email resumes to jobsite: RecruitingCathay@gmail.com
Pay: From $144,414.00 per year
Work Location: Hybrid remote in Brooklyn, NY 11239