Associate Software Engineer - Risk Analytics & Big Data

SRI Conference; New York (NY); On-site; USD 115,000 - 180,000; Full time

Job summary

Goldman Sachs is seeking an Associate level Software Engineer in New York to work on a high-performance risk analytics platform. You will join a global team developing core tools, data platforms and hosted services using Java, Python, Scala, Spark, and distributed systems.

You will collaborate with risk managers and developers to deliver scalable risk insights and dashboards. The role requires a strong foundation in software development, data structures, and the ability to work across diverse

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline.
• 3-5 years' experience in risk technology within large banks or financial institutions.
• Experience in credit risk management, regulatory deliverables, and related tech.
• Strong software development fundamentals and data structures knowledge.
• Multi-tasking, stakeholder management, and teamwork skills.
• Proficiency with multiple programming languages including learning proprietary software.

Responsibilities

• Performance tune applications for memory and CPU efficiency.
• Analyze trends and exceptions in Market Risk metrics.
• Build reporting for risk metric outputs using SQL and Tableau.
• Develop front-end UI for risk management actions.
• Create calculations using Snowflake, Sybase IQ and distributed HDFS.
• Interact with business users to resolve issues.
• Design and support batch processes with scheduling infrastructure.
• Oversee junior team members through SDLC lifecycle.

Skills

Java

Python

Scala

Spark

Distributed computing

SQL proficiency

Team collaboration

Education

Bachelor's degree in Computer Science/Math/Engineering

Tools

SQL

Tableau

Snowflake

Sybase IQ

Spark

HDFS

S3

ReactJS

Slang/SECDB

Airflow

Job description

Goldman Sachs is seeking an Associate level Software Engineer in New York to work on a high-performance risk analytics platform. You will join a global team developing core tools, data platforms and hosted services using Java, Python, Scala, Spark, and distributed systems.

You will collaborate with risk managers and developers to deliver scalable risk insights and dashboards. The role requires a strong foundation in software development, data structures, and the ability to work across diverse