Associate - Application Support

Apollo is seeking an experienced Application Support Analyst to support critical portfolio management, trading, and risk analytics platforms used by investment professionals and risk teams. This role sits within the Global Quantitative Analytics team and operates at the intersection of finance, analytics, and technology, requiring strong domain knowledge across fixed income and interest rate derivatives, solid analytical capability, and the ability to troubleshoot complex, business-critical systems in a fast-paced environment. The ideal candidate will come from either a financial engineering background with working knowledge of Python or a computer engineering background with relevant financial industry experience. Key Responsibilities Provide production support for portfolio management, trading, and risk analytics systems, ensuring stability and timely issue resolution Investigate and resolve issues related to: Deal capture, booking, and lifecycle events in security master and downstream systems Pricing / valuation outputs Portfolio analytics Risk metrics (e.g., duration, DV01, scenario analysis, stress testing) Perform detailed data analysis and reconciliation to validate outputs and identify discrepancies. Validate outputs across systems (e.g., pricing engines, risk platforms) Use Python (as needed) for data analysis, scripting, and light automation of support workflows . Coordinate with development teams to track issues, enhancements, and system releases Support UAT, system upgrades, and production deployments Qualifications & Experience 7 10 years of experience in application support, trading/portfolio systems support, or risk analytics support within financial services Prior experience working at an investment bank or asset management firm Strong experience with fixed income and interest rates derivatives (e.g., bonds, swaps, futures, options) Good understanding of risk and valuation concepts used in trading and portfolio management Working knowledge of Python (data analysis, basic scripting) Strong analytical and problem-solving skills with high attention to detail Ability to communicate effectively with both business and technical stakeholders Education / Background Either of the following profiles: Degree in Advanced Maths or Finance (or similar quantitative field) with working knowledge of Python Degree in Computer Engineering (or related field) with relevant experience in financial markets (fixed income / derivatives) Preferred Qualifications Familiarity with portfolio management and risk systems used in asset management Experience with SQL and data querying Exposure to pricing or risk models Key Attributes Strong ownership and ability to operate in a portfolio management and trading-facing environment Practical, hands-on approach to problem solving Comfortable working with data and complex systems Focus on efficiency, automation, and continuous improvement Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.