Business Analysis & Requirements Development

• Work with business stakeholders, product owners, users, developers, architects, and compliance specialists to understand objectives, processes, constraints, and expected outcomes.
• Elicit, analyze, structure, and document business, functional, and non-functional requirements from the initial concept through implementation.
• Translate business needs into clear user stories, use cases, process flows, business rules, data requirements, and acceptance criteria.
• Ensure that requirements are complete, consistent, feasible, traceable, and understandable to both business and technical teams.
• Analyze current and target-state processes, identify gaps, and propose practical improvements.
• Maintain requirements and related documentation throughout the development lifecycle, including controlled updates and change traceability.

Shift-Left Testing & Quality by Design

• Embed testing and quality considerations into requirements development from the earliest stage of each initiative.
• Review requirements with the mindset of an end user and a tester, challenging unclear assumptions and identifying missing scenarios, edge cases, dependencies, and failure conditions before development starts.
• Define precise and measurable acceptance criteria that can be directly converted into test scenarios and, where appropriate, automated tests.
• Facilitate requirement reviews, refinement sessions, and early walkthroughs with development and QA teams.
• Own risk-based testing by identifying high-risk workflows, critical controls, data sensitivities, and regulatory impacts.
• Define the test strategy, testing standards, test scenario design principles, requirements-to-test traceability, and release-readiness criteria.
• Analyze defects and production issues to identify requirement gaps and improve future analysis standards.

Leadership of Product Quality & Routine Testing

• Establish, implement, and continuously improve structured, state-of-the-art product-testing processes.
• Plan and supervise routine functional, regression, integration, usability, exploratory, and user-journey testing across mobile, web, back-office, and integrated systems.
• Assign testing activities to the Product Quality Analyst, review the quality and completeness of execution, and provide ongoing coaching and feedback.
• Ensure that test plans, test cases, test data, execution evidence, defect records, regression packs, and quality reports are complete and maintained consistently.
• Review testing coverage for new functionality, defect fixes, critical existing processes, regulatory requirements, and high-risk integrations.
• Lead defect triage, confirm business impact and severity, clarify expected behaviour, prioritize resolution, and ensure that critical defects are retested and closed appropriately.
• Provide transparent testing and product-quality reporting to project management and relevant stakeholders.

Exploratory Testing & User Perspective

• Embed exploratory testing into the overall testing approach rather than relying only on predefined test cases.
• Guide the Product Quality Analyst in actively exploring the system, investigating unexpected scenarios, challenging assumptions, and thinking like a real user.
• Ensure coverage of negative scenarios, boundary conditions, unusual user behaviour, and combinations of actions that may not be captured in documented requirements.
• Use exploratory findings to improve requirements, acceptance criteria, regression packs, and product design.

Domain & Regulatory Validation

• Ensure that business logic, workflows, calculations, controls, and system behaviour are validated against approved business requirements.
• Coordinate validation of relevant functionality against applicable banking, securities, and capital-markets regulations, based on interpretations confirmed by responsible business, legal, and compliance stakeholders.
• Identify regulatory, operational, conduct, and customer-impact risks arising from incomplete requirements or incorrectly implemented business logic.
• Ensure that appropriate evidence of domain and regulatory validation is retained for critical product journeys and regulated processes.
• Data, Calculation, Integration & API Validation
• Define and supervise database verification, SQL-based data checks, and reconciliation of financial calculations, balances, interest accruals, fees, transaction values, and statuses.
• Ensure data consistency and completeness across mobile, web, API, back-office, database, and external-system layers.
• Define integration-testing coverage and verify that data is transmitted, transformed, processed, and recorded correctly across connected systems.
• Ensure systematic testing of REST APIs using Postman or equivalent tools, including requests, responses, authentication, authorization, validation rules, error handling, and data structures.
• Review positive, negative, boundary, failure, and security-relevant API scenarios and ensure alignment with business rules and downstream outcomes.
• Ensure that reusable API collections, environment configurations, test data, and related documentation are maintained.

AI-Assisted Analysis & Testing

• Use AI-assisted requirements review to identify ambiguity, inconsistency, duplication, missing information, weak acceptance criteria, and unaddressed edge cases.
• Apply AI-assisted test-case generation across positive, negative, boundary, integration, and end-to-end user scenarios.
• Use AI-assisted risk analysis to identify high-risk functionality, critical dependencies, control weaknesses, and areas requiring deeper testing.
• Apply AI-assisted edge-case discovery to identify unexpected combinations of user behaviour, data, system states, and failure conditions.
• Use AI-assisted regression impact analysis to assess which functions, integrations, calculations, and existing test packs may be affected by a proposed change.
• Evaluate and introduce practical AI-enabled improvements to test-data preparation, traceability, defect analysis, and quality reporting while maintaining human review and accountability.
• Ensure that the use of AI complies with information security, confidentiality, data protection, and project governance requirements.
• Define effective prompting practices and validation controls and coach the Product Quality Analyst in their responsible use.
• Supervision of the Product Quality Analyst & QA Expert Consultation
• Set objectives, priorities, assignments, and quality expectations for the Product Quality Analyst and monitor delivery against them.
• Review requirements analysis, test scenarios, test cases, execution evidence, defect reports, reconciliations, and other deliverables prepared by the Product Quality Analyst.
• Develop the Product Quality Analyst’s skills through structured guidance, coaching, feedback, and increasing levels of responsibility.
• Use the outsourced QA expert as a specialist consultant to design and review testing methodology, automation opportunities, controls, templates, and working routines.
• Translate specialist recommendations into practical internal processes and ensure effective knowledge transfer to the Product Quality Analyst and developers.
• Retain accountability for priorities, decisions, delivery oversight, and product-quality reporting.
• Translate specialist recommendations into practical internal processes and ensure effective knowledge transfer to the Product Quality Analyst and developers.
• Retain accountability for priorities, decisions, delivery oversight, and product-quality reporting.

Delivery & Stakeholder Collaboration

• Participate actively in discovery, sprint planning, backlog refinement, demonstrations, user acceptance testing, and release-readiness discussions.
• Facilitate workshops and structured discussions, reconcile differing stakeholder views, and drive open points toward clear decisions.
• Work closely with developers throughout implementation to resolve questions quickly and protect the intended business outcome.
• Support users and business owners during user acceptance testing and obtain clear evidence of acceptance.
• Prepare concise, professional documentation, meeting outcomes, decision logs, and progress updates in English.
• Contribute to common standards, templates, and reusable practices for requirements management and quality assurance.

• 5+ years of experience as a Business Analyst, Senior Business Analyst, Product Analyst, or in a comparable role within software development.
• Demonstrated experience developing requirements for complex digital products or enterprise systems.
• Hands-on experience working across the full software development lifecycle in Agile, hybrid, or comparable delivery environments.
• Practical experience with software testing, test analysis, quality assurance, or close day-to-day cooperation with QA teams.
• Experience coordinating external vendors, outsourced development teams, or outsourced QA providers.

Business Analysis & Quality Skills

Strong knowledge of:

• Requirements elicitation, analysis, specification, validation, and change management
• User stories, use cases, business rules, process mapping, and acceptance criteria
• Shift-left testing principles and quality-by-design practices
• Test scenario design, requirements traceability, defect management, and user acceptance testing
• Functional and non-functional requirements, including usability, security, performance, auditability, and reliability

Experience with:

• Requirements and delivery tools such as Jira, Confluence, Azure DevOps, or equivalent
• Process and system modelling using BPMN, UML, flowcharts, or comparable techniques
• API-based systems, system integrations, data flows, and interface requirements
• AI tools for requirements analysis, quality checking, test design, or related software delivery activities

Language & Communication

• Excellent command of written and spoken English, with the ability to produce precise professional documentation and lead complex discussions.
• Ability to explain business needs clearly to technical teams and technical constraints clearly to business stakeholders.
• Strong workshop facilitation, stakeholder management, negotiation, and presentation skills.

Preferred Qualifications

Experience with one or more of the following is considered a strong advantage:

• Financial services, banking, capital markets, bonds, securities trading, custody, or settlement
• Customer onboarding, KYC, digital identity, mobile applications, or web trading platforms
• Regulated systems requiring strong audit trails, controls, and data protection
• Test automation concepts and collaboration with automation engineers
• AI-assisted software delivery tools and structured prompt design

Soft Skills

• Strong analytical thinking, attention to detail, and a structured approach to complex problems.
• A questioning mindset and the confidence to challenge incomplete or inconsistent requirements constructively.
• Strong user orientation and the ability to assess solutions from the perspective of real customer journeys.
• Ownership, accountability, and the ability to drive matters to completion.
• Ability to work independently while building effective cooperation across internal and outsourced teams.
• Curiosity and a continuous-learning mindset, particularly regarding AI-enabled analysis and testing.

Nice to Have

Candidates with experience in any of the following domains will have an advantage:

• Bond investment and trading platforms
• Custody, settlement, depository, and securities accounting processes
• Digital customer onboarding and investor journeys
• Mobile and web application development
• Back-office workflow and business process management systems
• API integrations with financial institutions, regulators, or market infrastructure