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
5 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
