Experience in both domains, or in adjacent BFSI areas (banking, lending, payments)
Knowledge of Takaful and Shari'ah-compliant products, including participant/shareholder fund separation and surplus distribution, and their implications for system design
Hands-on exposure to market-leading platforms (Guidewire, Duck Creek, Sapiens, Majesco; or portfolio, order management and market data platforms) as an integrator or migration analyst
Participation in presales activities: RFP/RFI analysis, discovery calls, solution outlines and scope decomposition
Domain certifications (insurance or investment fundamentals), CBAP/CCBA, or equivalent
5+ years of professional experience as an IT Business Analyst
Strong hands-on experience with requirements elicitation, analysis, formalization, and documentation
Experience working across the full software development lifecycle, from discovery and solution definition through implementation, testing, and go-live
Strong knowledge of Business Analysis techniques and approaches
Experience preparing BRDs, SRSs, User Stories, Use Cases, Acceptance Criteria, functional and non-functional requirements, and process documentation
Experience with business process modeling and system analysis
Understanding of software architecture, integrations, APIs, and data flows at a Business Analyst level
Experience working with Agile, Scrum, Kanban, and/or Waterfall delivery models
Experience collaborating with development, QA, architecture, project management, and business teams
Strong stakeholder management and facilitation skills, including the ability to independently lead workshops and requirements discussions
Ability to translate complex business needs into clear and actionable requirements for technical teams
Strong analytical, critical-thinking, and problem-solving skills
Practical experience using AI assistants (such as ChatGPT, Microsoft Copilot, Claude, Gemini, or similar) in daily Business Analysis activities, including requirements analysis, documentation, research, meeting preparation, User Story and Acceptance Criteria refinement, and test-scenario preparation
Ability to critically review and validate AI-generated results and use AI tools to improve the quality and efficiency of Business Analysis work
Strong organization, presentation, and documentation skills
Ability to communicate complex business and technical concepts clearly to both technical and non-technical audiences
English level B2+ or higher, both spoken and written
3+ years of business analysis on projects for insurance organizations (carriers, MGAs/MGUs, TPAs, brokerages) or buy-side investment firms (asset and wealth managers, hedge funds, PE, family offices) — mandatory in at least one of the two domains
Confident understanding of the domain value chain and the roles within it: carrier / MGA / broker / TPA / reinsurer and their delegated-authority relationships; or buy side vs sell side, asset management vs wealth management business models
Practical knowledge of core business processes: policy lifecycle, rating and underwriting, claims handling, billing and commissions, reinsurance; or client onboarding and KYC/AML, portfolio management, order and trade lifecycle, custody, reconciliation, corporate actions, valuation and NAV, performance and fee calculation, client reporting
Working knowledge of the domain system landscape: policy administration, rating/underwriting engines, claims and billing systems, data warehouse and analytics; or PMS, OMS/EMS, accounting/book-of-record systems, CRM and client portals, investment data management platforms
Ability to translate domain principles and regulatory obligations into testable business rules, domain data models, and use cases written from real domain roles (underwriter, adjuster, broker, operations analyst, portfolio manager, advisor, compliance officer)
Understanding of domain data exchange standards and integration patterns: ACORD, EDI, bordereaux, carrier/broker feeds; or security master and instrument identifiers, market data and pricing sources, FIX, SWIFT, custodian files
Awareness of the regulatory context of the target markets - US state-based insurance regulation and NAIC, SEC/FINRA context for the buy side, GCC regulators - sufficient to identify regulatory implications in requirements and escalate them, without acting as a legal expert
Understanding of where AI delivers value in these domains (document intake, underwriting support, claims triage, fraud and leakage detection, reconciliation and reporting automation) and ability to specify non-deterministic components properly: measurable acceptance criteria, human-in-the-loop control points, fallback behaviour, and audit trails
Strong analytical and conceptual thinking
Proactive and solution-oriented mindset
Excellent communication and stakeholder management skills
Ability to facilitate discussions and drive decisions
Strong attention to detail
Ability to work independently and take ownership
Structured approach to complex and ambiguous problems
Ability to work effectively in a dynamic environment with changing priorities
Strong customer focus and consulting mindset