Open-End Fund Analytics Specialist – Performance, Attribution, Python & SQL
Synechron · Hyderabad Eco Park, India
Free account: apply link, HR contact and an AI-written cold email
Synechron · Hyderabad Eco Park, India
Free account: apply link, HR contact and an AI-written cold email
Job Summary Synechron is seeking an Analytics – Open-End Fund professional with expertise in performance and attribution reporting, portfolio exposure monitoring, alternative investments, and data analytics. The role will support the analysis and reporting of open-end fund portfolios, including performance results, attribution, risk metrics, portfolio characteristics, and exposure information. The position will combine investment knowledge with practical experience in Python, SQL, and data visualization tools such as Power BI. This role will contribute to business objectives by improving reporting accuracy, strengthening portfolio insight, supporting investment decision-making, and delivering clear and timely analytics to cross-functional stakeholders. Software Requirements Required Software Skills Python, SQL, and/or data visualization tools: At least 3 years of working proficiency using one or more of these technologies to support data analysis and reporting. Python: Experience preparing, transforming, analyzing, validating, or automating investment and portfolio data. SQL: Experience querying, joining, validating, and analyzing structured investment and portfolio datasets. Data visualization: Experience using Power BI or an equivalent tool to create dashboards, reports, visualizations, and analytical outputs. Performance reporting tools: Experience supporting investment performance reporting and related analytical workflows. Attribution reporting tools: Experience supporting performance attribution analysis and reporting. Project management tools: Basic familiarity with Jira, Confluence, or equivalent tools is preferred. Preferred Software Skills Experience using more than one of Python, SQL, and Power BI. Familiarity with data models, reporting automation, data validation, and repeatable analytical workflows. Exposure to project-management, documentation, and collaboration tools such as Jira and Confluence. Familiarity with tools used for risk reporting, portfolio analytics, investment data management, and reporting controls. Version and Experience Guidance Specific software versions are not mandated in the requirements. Candidates should have experience with current, production-supported versions of Python, SQL, Power BI, and related analytics tools. Candidates should be able to validate data, document calculation logic, manage reporting changes, and maintain reproducible analytical outputs. The required technology experience should be applied to investment, portfolio, performance, attribution, or related financial analysis. Overall Responsibilities Prepare, analyze, validate, and maintain performance and attribution reporting for open-end fund portfolios. Monitor portfolio exposures and analyze portfolio characteristics across relevant investment strategies. Produce and review performance reporting, risk metrics, portfolio analytics, and related investment-reporting outputs.
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