Software Engineering - Vice President - Risk Division

Job Description

BUSINESS UNIT: The Risk Division identifies, monitors, evaluates, and manages the firm's financial and Model risks in support of the firm's Risk Appetite Statement and the firm's strategic plan. The Model Risk Application Department at Goldman Sachs is responsible for developing and supporting applications required for Operational Risk to identify, measure, and monitor operational risk across the firm. As part of the Model Risk Digital Strategy the existing applications and manual processes are being uplifted. WHAT WE LOOK FOR This Model Risk Application role is for a professional who is passionate about digital transformation, increasing operational efficiency through automation, reduce technical debt and develop highly scalable and reliable applications. Model Risk has several web applications that generate data that are used for internal risk management and regulatory reporting. Data warehousing, data analytics and machine learning skills will be useful as there is a significant focus on data and reporting. RESPONSIBILITIES Application development including automated testing. Analysis and design of new features including data modelling, architecture, and low-level design. Exploring new and emerging technologies as needed by the project. SKILLS AND RELEVANT EXPERIENCE Bachelor's degree in computer science, Electrical Engineering or related technical discipline. 3+ years of relevant experience in software development, including a clear understanding of data. structures, algorithms, software design and core programming concepts. Comfortable multi-tasking, managing multiple stakeholders and working as part of a team. Strong client / stakeholder management skills with strong interpersonal skills, both verbal and written. Strong problem solving and analytical skills. Ability to work in a fast-paced environment with a strong delivery focus. PREFERRED QUALIFICATIONS Strong programming experience in Java Full Stack Developer with experience working with React. Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Spring JPA etc. Experience in ML/Data Science/AWS will be relevant and useful. Experience with continuous delivery and deployment. Proficient at working with large and complex code bases. Sound in object-oriented programming fundamentals