Analytics Software Testing and Validation Expert

7 giorni fa

Milano, Lombardia, Italia SAS A tempo pieno

About the Role

The Risk Solutions team at SAS is seeking a highly skilled Sr Associate Analytics Software Tester to join our diverse and experienced team. As a key member, you will have the opportunity to develop and enhance your skills, contribute knowledge and ideas, and increase customer satisfaction, profitability, and quality of our regulatory solutions.

Key Responsibilities

  • Plan, document, and perform functional, validation, and systematic testing for new and existing software.
  • Numerical validation includes independent coding, cross-validation with existing SAS products or third-party products, equivalence, simulation, or predictive performance.
  • Report defects, evaluate fix requests, and verify fixes.
  • Automate regression testing on all applicable platforms and maintain benchmarks.
  • Review software design during development stage and provide feedback to developers.
  • Stay current with analytical methodologies by researching literature and participating in courses or conferences.
  • Communicate with developers, product marketing managers, and industry experts to define testing strategies and coverage.
  • Review software documentation and provide feedback.
  • Assist Tech Support and consultants in resolving customer issues.
  • Work on problems of moderate scope where analysis of situations or data requires consideration of a variety of factors. Exercise some independent judgment to determine appropriate action. Build productive working relationships across teams.

Requirements

  • 2 years of experience or some related experience with a Ph.D.
  • Master's degree or a Ph.D. in statistics, biostatistics, applied mathematics, economics, or a related field.
  • Advanced programming skills in data management and analysis.
  • Advanced knowledge in several analytical disciplines.
  • Basic modular programming skills (e.g., SAS Macro, functions/modules in Python or Lua).
  • Basic scripting skills for test automation.
  • Equivalent combination of education, training, and experience may be considered in place of the above qualifications.
  • You're curious, passionate, authentic, and accountable. These are our values and influence everything we do.

Preferred Qualifications

  • Background in risk management, finance, or statistical modeling.
  • Experience developing, deploying, and maintaining infrastructure in a public cloud platform, such as Azure, AWS, or GCP.

Diversity and Inclusion

At SAS, it's not about fitting into our culture – it's about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it's essential to who we are. To put it plainly: you are welcome here.

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