Liquid Credit Analytics Specialist – SQL | Power BI

Overview

Support investment teams with accurate dashboards, performance analysis, automation, and reporting solutions in liquid credit analytics.

What you'll do

• Develop portfolio summaries, factsheets, dashboards, and investor reports.
• Analyze yields, spreads, duration, returns, and portfolio risk metrics.
• Perform fixed income and Brinson performance attribution.
• Build scalable SQL and Power BI reporting solutions.
• Automate recurring reports and data validation processes.
• Collaborate with investment, technology, data, and operations teams.
• Improve reporting accuracy, efficiency, and transparency.
• Validate holdings, pricing, performance, benchmark, and risk data.
• Investigate data issues and coordinate resolution.
• Participate in project meetings, requirements discussions, reviews, and demonstrations.
• Document data sources, calculations, controls, and processes.

What you'll need

• 5+ years of experience in fixed income, credit analytics, portfolio analytics, or performance reporting.
• Experience in an asset manager, investment bank, or financial institution.
• Knowledge of investment-grade bonds, high-yield bonds, leveraged loans, and leveraged credit markets.
• Experience with fixed income attribution and portfolio risk models.
• Advanced SQL.
• Power BI dashboard and report development.
• Fixed income and portfolio analytics platforms.
• Microsoft Excel.
• Data validation, reconciliation, and reporting workflows.
• Relational databases, data modeling, reconciliation, and data quality controls.
• Understanding of secure handling of investment data, access controls, and audit requirements.
• Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field, or relevant experience in place of advanced qualifications.
• Strong analytical, problem-solving, and data interpretation skills.
• Clear communication with investment and technology stakeholders.
• Effective collaboration and project coordination.
• Ability to manage deadlines and multiple reporting requirements.
• Adaptability to changing data, reporting, and business needs.
• Focus on accuracy, automation, process improvement, and maintainable solutions.

Nice to have

• Python for automation and data analysis.
• Cloud data platforms and large-scale data workflows.
• Version control and Agile delivery tools.
• Understanding of cloud data architecture and large-scale workflows.
• Python, cloud data, and investor reporting experience.
• Advanced degree or MBA.
• CFA, FRM, or CIPM certification.
• Commitment to continuous learning in credit markets, analytics, reporting, and technology.

Details

• Location: Hyderabad Eco Park.