QA Test Engineer

QA Test Engineer** (Contract)

Duration: 12 Months (Possibility for extension)

Location: Bromley/Hybrid (3 days per week on site)

Rate: A highly competitive Umbrella Day Rate is available for suitable candidates

Role Profile

Generative AI presents an exciting opportunity to derive valuable insights from data and to drive revenue growth, efficiencies, and improved business processes. Technology collaborates closely with Global Markets Business and Quantitative Strategies & Data Group (QSDG) & Platform teams in the design and buildout of the Global Markets Gen AI platform.

The QA Tester will be responsible for testing and delivering complex software requirements to accomplish business outcomes, ensuring the testing strategy and processes are well-defined and continuously improved.

Key Responsibilities:

Collaborate with product owner, scrum master, development, system and release management teams to certify and promote code to higher level environments.
Own test execution, Defect management, Test progress reporting and escalation of issues and risks.
Condition and generate test data in compliance with test data requirements. Manage sensitive test data.
Demo functionality to UAT testers, user community and external stakeholders.
Excellent written & verbal communication, ability to multitask, work well under demanding situations, prioritize and meet deadlines.
Continuously evaluate and improve testing processes, tools, and methodologies to enhance efficiency and quality.
Work closely with cross-functional teams, including developers, data scientists, and product managers, to understand project requirements and align testing efforts.
Ensure testing activities adhere to industry standards and company policies for data security and privacy.

Experience required:

Experience with agile development methodologies, Jira and DevOps practices.
Experience in test planning one or more applications that span across multiple stakeholders.
Strong experience in developing and executing testing strategies for complex applications.
Proficiency in test case design, test execution, and test management tools.
Experience with automation testing tools such as Selenium, JUnit, or PyTest.
Understanding and experience in data testing/validation. Advanced skills in testing applications developed in Python, SQL/No-SQL databases and user interfaces.
Knowledge of data versioning and data management practices.
Ability to communicate effectively to a wide range of audience (business stakeholders, developer & support teams)
Experience with testing frameworks and tools specific to AI/ML applications.
Familiarity with cloud platforms and testing in cloud environments.

Candidates will need to show evidence of the above in their CV in order to be considered.

If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team.

We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment