To ensure uncompromising accuracy and timeliness in the delivery of critical risk metrics that support Goldman Sachs’ decision making process
Requirements
- Scala
- Java
- Python
- Spark
- Linux and shell scripting
- TDD (JUnit)
- build tools (Maven/Gradle/Ant)
- Experience with one or more major relational / object databases
- Experience in working with process scheduling platforms like Apache Airflow
- GS proprietary technology like Slang/SECDB
- Distributed computing – parallel computation on a single machine like DASK, Distributed processing on Public Cloud
Responsibilities
- 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.
- 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.
Other
- Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline
- 3-5 years’ experience working with risk technology teams in a large investment or retail bank, or a comparable financial institution
- Comfortable multi-tasking, managing multiple stakeholders and working as part of a team
- Comfortable with working with multiple programming languages, including learning proprietary software coding when required
- Knowledge of SDLC and experience in working through entire life cycle of the project from start to end
