Software Engineering - Associate - Risk Division

The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments, and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world. We commit people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Our people are our greatest asset – we say it often and with good reason. It is only with the determination and dedication of our people that we can serve our clients, generate long-term value for our shareholders and contribute to the broader public. We take pride in supporting each colleague both professionally and personally. From collaborative workspaces and ergonomic services to wellbeing and resilience offerings, we offer our people the flexibility and support they need to reach their goals in and outside the office.

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
   

RISK 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.