The Core Engineering-New York-Associate-Software Engineering

The Goldman Sachs Group; 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

The Core Engineering-New York-Associate-Software Engineering

To ensure uncompromising accuracy and timeliness in the delivery of critical risk metrics that support Goldman Sachs' decision making process, our data platform is continuously growing and evolving. Capital Risk Engineering combines the principles of Computer Science, Mathematics and Finance to produce large scale, computationally intensive calculations of risk Goldman Sachs faces with each business transaction we engage in. Capital Risk Engineering has an opportunity for an Associate level Software Engineer to work across a broad range of applications and extremely diverse set of technologies to keep the platform operating at peak efficiency.

As an Engineer in the Risk Engineering organization, you will have the opportunity to impact one or more aspects of risk management. You will work with a global team of talented engineers to drive the build & adoption of common tools, platforms, and applications. The team builds solutions that are offered as a software product or as a hosted service. We are a dynamic team of talented developers and architects who partner with business areas and other technology teams to deliver high profile projects using a raft of technologies that are fit for purpose (Java, Cloud computing, HDFS, Spark, S3, ReactJS, Sybase IQ, Snowflake, Tableau among many others). A glimpse of the interesting problems that we engineer solutions for, include acquiring high quality data, storing it, performing risk computations in limited amount of time using distributed computing, and making data available to enable actionable risk insights through analytical and response user interfaces.

How You Will Fulfill Your Potential

This role is for a 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 very 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.

Skills And Experience We Are Looking For

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

Salary Range
The expected base salary for this New York, NY, United States-based position is $115000-$180000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.