Vice President, Fiduciary Oversight Model Engineering

Goldman Sachs

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Quick summary

Work type: On-site
Location: Dallas, TX
Posted: 103 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $181k

$100k $249k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $149,368–$212,500.

Based on 240 similar postings.

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About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 71 open roles on FindRole.

Listed pay typically runs $140,000–$250,000 across 34 roles with salary data.

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At a glance

TL;DR · Vice President, Fiduciary Oversight Model Engineering

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JOB TITLE: The Core Engineering, Fiduciary Oversight Model Eng, Software Engineering, Vice President, Dallas As a member of The Core Engineering team, you will partner globally with sponsors and engineering colleagues to create end-to-end solutions for critical business functions including risk, compliance, and corporate treasury. You will manage the full software development life cycle, designing and maintaining applications that handle large datasets, real-time processing, and messaging. Your daily work involves applying analytical skills to design surveillance processes and identifying risks within financial systems. You will utilize a technical stack including Java, Python, PySpark, SQL, Hadoop, Snowflake, Iceberg, Kafka, and Kubernetes. Additionally, you will leverage AI-assisted development tools like GitHub Copilot and Devin to accelerate code generation, debugging, and refactoring while ensuring all outputs meet strict security and regulatory compliance standards.

Skills

Java Python PySpark SQL Hadoop Snowflake Iceberg Kafka Kubernetes SDLC Apache Spark micro-services API Design GitHub Copilot Claude Code Devin Prompt Engineering Relational Databases Automated Testing

What you'll do

Design, implement, test, deploy, and maintain software across the full product life cycle.
Develop end-to-end solutions using Java, Python, PySpark, SQL, and cloud-based data platforms.
Use AI-assisted tools to accelerate code generation, refactoring, debugging, and performance optimization.
Validate and productionize AI-generated outputs to ensure security, maintainability, and regulatory compliance.
Apply analytical skills to design surveillance processes and identify operational risks.
Process large datasets for real-time messaging, workflows, and UI/UX requirements.
Identify opportunities to use AI agents for bug triage, dependency upgrades, and routine engineering tasks.

What we're looking for

A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a similar field of study.
5+ years of professional software development experience.
Expertise in Java and/or Python development.
Experience in automated testing and SDLC concepts.
Ability to clearly express ideas and arguments in meetings and on paper.
Experience with API design, micro-services architecture, and cloud-based data platforms like Snowflake (preferred).
Experience with Apache Spark, Hadoop, Data Lake/Lakehouse solutions, and relational databases (preferred).
Experience with AI-assisted developer tools, prompt engineering, and AI-driven code review (preferred).

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