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Lead negotiation, drafting and execution of financial markets transaction documents (ISDA, GMRA, GMSLA, etc.), ensure regulatory and legal compliance, support due diligence, develop transaction processes, advise stakeholders, manage risks and controls, and provide leadership or subject-matter expertise to improve transactional workflows.

Design, develop, and deliver scalable, maintainable software using industry-standard languages, frameworks, and tools. Collaborate cross-functionally with product and design, participate in code reviews, apply secure coding and unit testing, lead or advise teams, manage risk and controls, and promote technical excellence.

Design, develop and deliver high-quality, secure, and scalable Java-based software (Java 17+, Spring/Spring Boot). Build microservices, RESTful APIs and event-driven components, collaborate cross-functionally, lead code reviews and mentoring, implement CI/CD, performance tuning, and follow Agile delivery.

Design, build and maintain data pipelines, warehouses and lakes. Implement processing and analysis algorithms, ensure data security and quality, collaborate with data scientists to deploy ML models, and lead or mentor team members while partnering with stakeholders.

The Liquid Financing Senior IT Analyst will design, develop, and enhance software for financial applications, ensure code quality, collaborate with teams, and contribute to strategic decisions.

Lead negotiation, drafting and execution of financial markets transactional documents (ISDA, GMRA, GMSLA, etc.), provide transaction support and due diligence, coordinate with internal stakeholders (credit, trading, treasury), develop processes, advise on legal/regulatory requirements and supervise a team to manage risk and controls for timely transaction execution.

Design, build and maintain data pipelines, warehouses and data lakes on AWS. Develop processing and analysis algorithms, ensure data accuracy, security and governance. Collaborate with data scientists to deploy ML models. Lead or coach teams, advise on policy, mitigate risk and communicate complex technical information to stakeholders.

Lead design, development and implementation of enterprise solutions and reusable architectures. Define workload placement and cloud strategies (serverless, containers), API and integration approaches, security-aware designs, and architecture artefacts for governance. Support operational teams on fault/failure and performance, assess risk/cost/capacity impacts, and guide stakeholders on strategy, controls and delivery.

Design, build and maintain data pipelines, data warehouses and data lakes on AWS. Develop processing and analysis algorithms, collaborate with data scientists to deploy ML models, lead or support a team, ensure data security, accuracy and compliance, and drive continuous improvement.

Design, develop, and execute comprehensive test plans and automated test frameworks (API, UI, end-to-end). Lead/root-cause defects with developers, integrate tests into CI/CD, mentor teams, and collaborate with stakeholders to drive quality engineering and testing governance.