Risk Division - Software Engineer -Associate- Birmingham at Goldman Sachs
Birmingham, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

29 Oct, 25

Salary

0.0

Posted On

30 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Slang, Software Design, Programming Concepts, Build Tools, Mathematics, Data Structures, Scala, Performance Metrics, Computer Science, Shell Scripting, Python, Spark, Linux, Algorithms, Software Development, Java

Industry

Computer Software/Engineering

Description

RISK DIVISION

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.

SKILLS AND EXPERIENCE

  • Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline
  • 3+ 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.
  • Open to working 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
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Responsibilities

Please refer the Job description for details

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