Senior QA

Description & Requirements

We are Bloomberg Enterprise Data - fast paced, innovative and expanding We partner closely with our clients, taking time to understand their unique business, individual data, and financial technology (FinTech) needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling, enables our clients to get the exact data they need, when they need it, in the format they prefer. Put simply, our award-winning data helps power the capital markets Bloomberg's Enterprise Data business continues to be a market leader when it comes to providing enterprise content for the financial services industry. Our offer includes best-in-class enterprise data, and data delivery via a fully managed platform. Our committed customer base appreciates the quality of our content, completeness of our coverage, data delivery, technology, tools, and high touch client service model.

What’s the role?

We’re seeking a Senior Quality Assurance and Test (QA&T) Engineer to work as part of the expanding QA & Test function for its DL+ product offering which includes ownership for the testing framework for a large cloud-based application. Our team develops and maintains QA test cases (both automated and manual), ensures that quality assurance and testing is carried out in accordance with industry best practices and follows strict audit standards. This role will allow you to develop a deep understanding of the DL+ product offering, and will involve collaboration with multiple teams including, Product, Engineering, Client Services & Operations.

You’ll need to have

- Degree in Computer Science or relevant industry qualification
- Demonstrated experience as a Senior Quality Assurance or Test Engineer
- Detailed knowledge of Python and automated testing tools such as Selenium WebDriver
- Ability to multi-task and manage priorities effectively - Exceptional attention to detail, analytical skills and proven ability to identify process improvement opportunities
- Strong interpersonal/communication skills with ability to communicate and collaborate with Product, Engineering, Client Services and Product Analyst teams proactively
- Demonstrating drive, determination and approaches to overcome challenges in QA phase(s) showing dedication to strive for high quality.
- Ability to triage complex issues to ensure they are directed to the correct team.
- Technical skills and familiarity with use of technologies to aid in defect analysis (e.g. Python, Pandas, Jupyter Notebooks, SQL, Unix)
- Creativity and a pragmatic approach to the relentless desire to improve test coverage, effectiveness and drive to scale.
- Defect management experience and logging of product issues into issue tracking systems - Providing clear, articulate steps to aid the Engineering team in troubleshooting the issues

We’d love to see

- Financial Services industry experience is highly desirable particularly in relation to Asset Management and Capital Markets.
- knowledge of AI in the QA space.
- Knowledge of Machine Learning in the financial space is desirable.

*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

If this sounds like you apply if you think we're a good match We'll get in touch with you to let you know what the next steps are.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net

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