Associate Risk Data Platform Engineer

Socket.dev

Dallas (TX)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Goldman Sachs in Dallas invites applications for an Associate level Software Engineer to work within Capital Risk Engineering, delivering high‑quality risk metrics on large data platforms. The role spans design, implementation, performance tuning and collaboration with global teams across a broad tech stack including Java, Python, Spark, SQL, and Tableau.

You will contribute to risk computation pipelines, build UI for risk actions, and help oversee SDLC activities while interfacing with business

Qualifications

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.
Experience in credit risk management functions and processes, knowledge of major regulatory deliverables for credit risk and expertise in related technology is required.
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 programming languages, including learning proprietary software coding when required.
Technologies: 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.
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

Responsibilities

Senior Developer in large projects across a global team of developers and risk managers.
You will apply your prior experience and expertise of working in credit risk domain at a large bank or financial institution, and ramp up quickly to work with the global team.
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.