Lead Software Engineer
Business Analysis & Requirements Elicitation: Lead requirement-gathering workshops with front-office investment teams, middle-office operations, and back-office accounting stakeholders to translate complex investment workflows into detailed functional specifications, user stories, and process maps.
Solution Implementation: Drive the configuration, customization, and implementation of core investment management and accounting platforms (e.g., portfolio management systems, accounting engines, or data warehousing solutions).
Investment Lifecycle Management: Analyze and optimize workflows across the investment lifecycle—including security master management, corporate actions, portfolio construction, trade order management, and performance attribution.
Stakeholder Coordination: Act as the primary liaison between investment managers, product vendors, QA, and development teams to ensure functional requirements for investment platforms are accurately translated into technical deliverables.Testing & Validation: Define functional test scenarios, oversee User Acceptance Testing (UAT), and validate that the deployed solutions align precisely with business rules, investment mandates, and regulatory reporting standards.
Technical & Functional Core Competencies
Asset Management Domain: Strong understanding of investment products (Equities, Fixed Income, Derivatives, Alternative Investments, Mutual Funds) and asset management business processes.
Investment Platforms: Experience working with or implementing leading investment management systems (e.g., BlackRock Aladdin, SimCorp Dimension, Charles River, or similar portfolio accounting/IMS platforms).
Portfolio Accounting & Performance: Deep knowledge of portfolio accounting, NAV calculation, trade reconciliations, and performance measurement (GIPS standards).
Regulatory Reporting: Familiarity with global asset management regulations and compliance frameworks (e.g., SEC reporting, UCITS, AIFMD, or ESG disclosure requirements).
Data & Tools: Proficiency in SQL for data analysis, data mapping, and reporting, alongside strong skills in Agile management tools like Jira and Confluence.
Experience: 6–10 years of experience in the IT/Consulting industry, with at least 4+ years dedicated explicitly to the Asset Management / Investment domain.