Job Duties: Associate with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Use various techniques including data analytics, code inspection and re-performance of processing logic to identify key risks in the technology implementations and deployed controls. Develop audit programs and testing procedures and participate in interviews with firm stakeholders to evaluate the adequacy of trading algorithms, pricing models, trade booking, technology governance, privilege management, change management including SDLC (Software Development Life Cycle) and data completeness and integrity controls supporting the technology processes and applications. Validate the correctness of model calibrations and model inputs. Liaise with business auditors on integrated audits to assess business processes and systems for mitigating financial, regulatory, and operational risk. Deliver the results of the audit testing program including key risks identified. Assist in continuous monitoring through periodic interviews with stakeholders and maintain an in-depth understanding of technology processes supporting the business. Establish and maintain internal stakeholder relationships and follow-up with business line management on previously identified audit issues, as well as execution and review of testing to close previously identified audit issues. Provide technical guidance and share subject matter expertise with team members with diverse skills and backgrounds. Participate in internal initiatives and working groups to enhance audit methodologies in order to improve effectiveness, efficiency and consistency.

Job Requirements: Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Cyber Security, Information Systems, Data Analytics, or related field, and two (2) years of experience in the job offered or in a related role. Must have two (2) years of prior experience with the following: working with object-oriented programming concepts and languages (including C++ or Java), scripting languages (including R or Python), and data analytics tools (including SQL); Technology operations and governance including change management policies and procedures including Software Development Life Cycle (SDLC); and identifying, documenting, and communicating gaps and risks associated with systems and tools supporting the business.

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