Compliance Technology is building a sophisticated next generation surveillance solution on top of a distributed data platform. Belfast (United Kingdom) and Pune (India) are the global hubs for the creation of feature-based surveillance algorithms using cutting edge technologies and techniques.
The global Trade Surveillance Technology team at Citi has an increased book of work that requires additional business lines, countries, and more sophisticated surveillance methods to be delivered using our strategic platforms. These platforms allow users to monitor trading activity across multiple asset classes and information barriers, on real time, end of day, and historic lookup bases for indications of potential Market Abuse, Insider Dealing, and other types of fraud.
The volume and variety of data involved in these surveillances and the complexity of the algorithms results in one of most challenging and appropriate use cases for big data technologies.
As we further expand global coverage and deliver more sophisticated Behavioral Analytics based solutions, we are seeking a Testing Intermediate Analyst to join the team in Pune.
Role Overview:
As part of this role, you will have an opportunity to work on sophisticated next generation surveillance solutions for Markets, Information Barrier & Retail Brokerage portfolios that are critical to firm's commitment against market abuse.
We are looking for a highly motivated professional who is ready to take on the challenges of working in a fast-paced, world-class environment and is ready to contribute to ensure quality of surveillance platforms.
The individual will collaborate with development, business and Project Managers to build an understanding of the varied and complex business functionality supported by the surveillance platforms and perform manual & automated testing on these systems.
Key Responsibilities:
The role will include, but not limited to the following:
Work closely with the key stakeholders to understand Non-Functional requirements to design and implement appropriate Performance Testing strategy
Follow standard performance testing methodologies Perform Pilots, develop and execute Test scripts, identify defects & discrepancies, report defects and retest fixes.
Identify discrepancies, report defects utilizing the internal tracking application, communicate with the Functional/development team and track them to resolution.
Ensures testing standards and procedures exist are followed.
Identify and recommend process improvements to enhance quality deliverables.
Skills & Experience:
Hands-on experience with all activities included in Performance Testing Life Cycle from requirements gathering to test execution, analysis, and reporting.
Strong hands on experience on Load runner HTTP/HTML, Performance Center, Webservices, TruClient - Must to have) / JMeter, C/Java/Java Script
Should be able to derive Workload modeling for different test scenarios.
Sound knowledge on test monitoring tools- AppDynamics/ Dynatrace / Splunk/ other industry standard APM tools.
Should have experience in troubleshooting Application performance issue and worked on basic performance troubleshooting methods using Heap Dump Analysis, Thread Dump Analysis, JVM Tuning .
Proficiency in testing concepts/standards & Agile methodology
Hands on experience in Performance Test Estimation, Test Data Setup, Test result reporting and Defect Management.
Basic knowledge on infra capacity planning and SQL
Good to have knowledge on CI-CD tools - Jenkins, TeamCity
Good to have knowledge on Big Data ecosystem and related tools Yarn, Unravel, Hive, Spark, Hadoop
Exposure to defect tracking systems (JIRA, ALM, etc.) and testing life cycles
Experience in writing test artifacts Test Plans, Test cases, Test reports
In addition, the following will be a distinct advantage:
Understanding of Capital Markets, for example trading, the trade lifecycle, exchanges, market participants, etc.. across multiple asset classes
ISTQB certification and/or ISEB certification preferred
Good understanding of Capital Markets related data (e.g. Trade Orders and Executions, Reference Data, Market Data, etc.)
Experience testing systems that process large volumes of complex data and apply complex mathematical functions
Experience testing systems that are based on Data Mining, Big Data, Behavioral Analytics, and Machine Learning techniques.
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Job Family Group:
Technology
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Job Family:
Technology Quality
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Time Type:
Full time
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