Job Description Summary
Financial Risk Analytics is seeking a Software Development Engineer in Test to join the Financial Risk Analytics group. The successful candidate will be involved in all aspects of testing with emphasis on test automation. We are looking for a pragmatic advocate of quality and someone that is willing to work as part of a dynamic team. As part of the Quality Assurance team, you will help develop automated tests for our suite of linux software including grid-based simulation software. A software programming background is required. An investment banking background or interest is nice to have as you work closely with financial engineering, product development groups, and work directly to support our customers. We are looking for a methodical problem solver that is comfortable working independently and as a part of a team.
Financial Risk Analytics (FRA) is part of S and P Global and provides industry leading risk analytics solutions to sell side institutions within the financial markets. Risk management and risk regulation is continuously driving demand for more accurate calculations and risk system vendors are continuously striving for improvements in performance and scalability. The products have been designed, built and continuously improved over a ten year period. It is carefully architected to scale from running on a single laptop for demonstration purposes right through to running on 1,000+ core distributed grids and as a hosted solution as well. Financial Risk Analytics provides solutions for Credit Risk PFE, Market Risk VaR and sensitivities, Credit Value Adjustment (CVA), Initial Margin (IM) and regulatory calculations such as EC, RC, IRC and CRM.
Responsibilities
Develop detailed test cases, and test scripts to support regression, functional, load and stress testing for rest, client/server, and computational, grid-based applications.
Automation of testing including updates to and creation of automated test scripts for system, load and performance testing. Maintain automated test frameworks, including support of agile, test-driven development
Conduct full product testing (component, system, integration, performance, etc.) including automation of the testing wherever possible
Identify, document and track software defects to resolution
Assist to establish and maintain multi-platform test environments and pipelines
Support customers on Financial Risk Analytics products as required
Create and maintain deployment and testing pipelines
Assist with test data creation
Skills and experience
Knowledge of REST and network application testing
Strong analytical ability and programming skills (preferably in PowerShell, Python)
Some experience with performance and load testing tools would be beneficial, for example Jmeter expertise
Experience with agile software development methodologies and test-driven development
Working knowledge of AWS and GitLab is an asset
Exposure to Apache NiFi, Apache Kafka would be valuable
Strong knowledge of Linux.
S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.
S&P Global Market Intelligence partners with customers to broaden their perspective and operate with confidence by bringing them leading data sources and technologies that embed insight in their daily work.
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Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
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20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group)
Job ID: R30658
Posted On: 2023-03-14
Location: London, London, United Kingdom
