Job Description

This role is for a QA Engineer on Rates Data Intelligence team. The team is responsible for monetizing data generated by Rates business and building tools/services that provide actionable insights with direct impact on revenue.

Rates Data Intelligence is a new initiative within Rates business. The team is growing rapidly and is responsible for delivering state of the art data centric solutions. Initiatives includes deliveries across sales, risk, pricing, quants, algorithmic trading, execution, trade processing, and much more. In order to achieve our mission, we maintain a data analytics stack built around big data streaming and distribution technologies as well as microservices. We handle very large data volumes daily, and our goal is to ensure rates business can maintain the firm\xe2\x80\x99s competitive advantage by generating real time insights on these datasets.

A successful candidate will lead the buildout of data analytics testing framework in collaboration with internal stakeholders. This is a rewarding and exciting opportunity to work directly with one of the most forward-thinking and successful businesses on the street.

Responsibilities:

• Design and lead buildout of end-to-end automated testing framework for Rates data intelligence products.
• Develop and drive testing standards, monitor and report key performance metrics.
• Responsible for all areas of Quality function and provide support to operations.
• Take initiative to research, learn and recommend emerging technologies.
• Provide post release assistance to business, development and support groups

Qualifications:

• Strong exp with automation tools like Selenium, Lean FT.
• Past exp with BDD stack like Gherkin, Cucumber, Bitbucket.
• Solid understanding of using project managment tools like JIRA.
• Knowledge of CI/CD tools like Teamcity, Jenkins, Sonarqube, Git.
• Past exp with data visualizations with real time/streaming analytics and strict availability and latency SLAs a plus.
• Past exp with products generating insights on high volume (100s of TB) datasets a plus.

Education:

• Bachelor\xe2\x80\x99s or ideally master\xe2\x80\x99s degree in Computer Science, or related technical/quantitative discipline.

Citi Canada is an equal opportunity employer. Accordingly, we will make accommodations to respond to the needs of people with disabilities (including, without limitation, physical and mental health disabilities) during the recruitment process and otherwise in accordance with law. Individuals who view themselves as Aboriginals, members of visible minority or racialized communities, and people with disabilities are encouraged to apply.



Job Family Group: Technology



Job Family: Technology Quality



Time Type: Full time



Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi\xe2\x80\x9d) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review .

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