Risk-Analyst-Software Engineering

RISK BUSINESS

The Risk Business identifies, monitors, evaluates, and manages the firm’s financial and non-financial risks in support of the firm’s Risk Appetite Statement and the firm’s strategic plan. Operating in a fast paced and dynamic environment and utilizing the best in class risk tools and frameworks, Risk teams are analytically curious, have an aptitude to challenge, and an unwavering commitment to excellence.

Overview 

To ensure uncompromising accuracy and timeliness in the delivery of the risk metrics, our platform is continuously growing and evolving. Market Risk Engineering combines the principles of Computer Science, Mathematics and Finance to produce large scale, computationally intensive calculations of risk Goldman Sachs faces with each transaction we engage in. Market Risk Engineering has an opportunity for an Associate level Software Engineer to work across a broad range of applications and extremely diverse set of technologies to keep the suite operating at peak efficiency. 

As an Engineer in the Risk Engineering organization, you will have the opportunity to impact one or more aspects of risk management. You will work with a team of talented engineers to drive the build & adoption of common tools, platforms, and applications. The team builds solutions that are offered as a software product or as a hosted service. We are a dynamic team of talented developers and architects who partner with business areas and other technology teams to deliver high profile projects using a raft of technologies that are fit for purpose (Java, Cloud computing, HDFS, Spark, S3, ReactJS, Sybase IQ among many others). A glimpse of the interesting problems that we engineer solutions for, include acquiring high quality data, storing it, performing risk computations in limited amount of time using distributed computing, and making data available to enable actionable risk insights through analytical and response user interfaces.

WHAT WE LOOK FOR

• Senior Developer in large projects across a global team of developers and risk managers
• Performance tune applications to improve memory and CPU utilization.
• Perform statistical analyses to identify trends and exceptions related Market Risk metrics. 
• Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as SQL, and data visualization tools, such as Tableau. 
• Utilize web development technologies to facilitate application development for front end UI used for risk management actions
• Develop software for calculations using databases like Snowflake, Sybase IQ and distributed HDFS systems. 
• Interact with business users for resolving issues with applications.
• Design and support batch processes using scheduling infrastructure for calculation and distributing data to other systems.
• Oversee junior technical team members in all aspects of Software Development Life Cycle (SDLC) including design, code review and production migrations.

Skills And Experience 

• Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline
• 1-2 years’ experience is working risk technology team in another bank, financial institution. Experience in market risk technology is a plus.
• Experience with one or more major relational / object databases. 
• 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
• Comfortable with working with multiple languages
• Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant)
• Experience in working with process scheduling platforms like Apache Airflow.
• Should be ready to work in GS proprietary technology like Slang/SECDB
• An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory, threads, file handles). 
• Knowledge and experience in distributed computing – parallel computation on a single machine like DASK, Distributed processing on Public Cloud. 
• Knowledge of SDLC and experience in working through entire life cycle of the project from start to end