Job Description:
Be a member of the Global SAS R&D team focused on the development of SAS Regulatory Content for EBA Taxonomies as a part of Risk Research and Quantitative Solutions (RQS) initiatives
Contribute to the design, development, unit testing, integration testing and documentation of product features in compliance with SAS R&D standards and guidelines using SAS programming languages, SAS tools like IRM and RGF
Collaborate with Product Manager and Solution Lead, and rest of SAS R&D team to analyze impact of regulatory submission changes on the product, contribute to acceptance criteria driven development approach
Leverage detailed knowledge of Regulatory Reporting domain and RQS products to provide technical support to the field consultants, partners, and customers
Keep up-to-date on Regulatory submission requirements, its impact on product design, technology trends, agile processes with a focus on CI/CD practices
Identify task breakdown, effort estimates and schedules for product changes
Contribute to new initiatives, process improvements, or technology enhancements
Conduct research to build SAS Intellectual Property in the space of Regulatory Capital Management leading to patentable work, research papers, articles
Mentor juniors in the area of expertise
Carry out all assignments with minimum supervision
Mandatory Technology
Programming skills: Base SAS
SAS Tools : Infrastructure for Risk Management, SAS Risk Governance Framework, Risk Dimensions, Visual Analytics, SAS Risk and Finance Workbench
Scripting languages: Javascript, groovy, xml, SQL, python
Security Tools: Black duck
CI Tools: github, Jenkins
Requirement
Domain:
Sound exposure to regulatory & financial reporting knowledge prevalent in the global financial industry
Experience in handling software aspects of European Banking Authority (EBA) regulatory reporting taxonomies like COREP, FINREP
Technology:
Expertise on SAS Macros and SAS Stored Processes programming with proficiency level at advanced SAS programming
Expertise on use of SQL concepts
Expertise of performance tuning techniques on SAS
Exposure to Windows and Linux OS to accomplish necessary tasks
Optional:
Software Engineering:
Understanding of Agile practices (daily scrum, iteration planning, retrospective, test-driven development, CI/CD)
Aptitude for professional software development as demonstrated by programming experience
Exposure to Continuous Integration toolkit – Jenkins, scripting languages – shell, ansible or equivalent
Behavioral:
Actively seeks to update own knowledge base and apply new concepts to work
Ability to evaluate options, present the recommendations, seeks feedback actively
Ability to work collaboratively with others to help achieve goals, with minimal supervision
Bachelors or Master’s degree in statistics, applied mathematics, computer science, or a related field
Requisition ID: 20045959
Travel Requirements: 10%
External Company Name: SAS Institute Inc
External Company URL: www.sas.com