296 jobs in The Goldman Sachs Group

The Goldman Sachs Group in Dallas recruits an Associate or Vice President to join the Risk Division. The role focuses on evaluating credit risk, analyzing private equity fund and NBFI counterparts, and supporting loan decision-making across the asset secured loan portfolio.

You will work with Global Banking & Markets to assess risk across cycles, monitor exposures, and provide insights to senior management.

Role Overview

The Lead Product Security Engineer position within the Asset and Wealth Management division and will be responsible for defining and evaluating solutions by closely working with the engineering teams to improve overall cybersecurity risk posture of the firm. This role is pivotal in balancing commercial objectives with robust security controls, ensuring the division's resilience against an evolving threat landscape, and protecting client assets and data.

The objective is to foster a unified and proactive approach to risk management through early design review and penetration testing engagements with the engineering BU teams and enabling secure technological innovation across all Asset and Wealth Management initiatives.

• This position is hands‑on and requires close collaboration with Product Management, Engineering, Program Management, and Dev Ops teams.
• Responsible for security of applications (Cloud/Web/API/Mobile) managed by Asset and Wealth Management (AWM) in conjunction with centralized security teams.
• Act as a security advisor to architects, developers, analysts and others to ensure we design confidentiality, integrity, resiliency, and privacy into the platform.
• Partner with business units to understand requirements, design proposals and evaluate architectural flaws for various on‑prem/cloud architectures.
• Evaluate the effectiveness of existing key controls, identify gaps, and recommend improvements to mitigate risks and enhance the firm’s security posture.
• Supervise, coach, and develop a small team of application security specialists.
• Drive adoption of embedded application security controls as part of the Software Development Life Cycle (SDLC) in Agile methodology, including automated tools.
• Perform secure code reviews and facilitating or conducting penetration testing.
• Assist in implementation of security related product features such as authentication, cryptography, authorization, service integration, etc.
• Develop, maintain, and improve the Technology Risk Program reflecting new emerging risks.
• Enable the business to meet security requirements by design.

• 6+ years’ experience in secure architecture design, application security, and risk analysis techniques or related fields.
• Energetic, self‑directed and self‑motivated, able to build and sustain long‑term relationships with colleagues.
• Must have experience managing multiple tasks and using sound judgment when managing risks, prioritizing and escalating.
• Must be able to work with deeply technical engineers, identify gaps that need addressing, and hold them to account.
• Security testing methodologies, tools and techniques – understanding of common application security vulnerabilities and controls to remediate.
• Expert knowledge of application security best practices including OWASP and CWE and cloud related concepts.
• Hands‑on software development and/or application Penetration Testing experience in complex environments an advantage.
• The successful candidate will be able to balance project management trade‑offs, own decisions and communicate effectively with senior stakeholders across business, partners, vendors, internal technology stakeholders and technology peers, with an eye toward influencing and driving positive business outcomes.
• Strong desire to learn and contribute solutions and ideas to a broad team.

• Experienced in Financial Services/Fintech.
• BS or MS degree in Computer Science, Cyber Security, Information Security, or a related technical field.
• Experience with leveraging AI/ML to solve security problems and scale operations.
• Knowledge of secure coding languages (e.g., Python, Java, Go).
• Cloud related experiences.
• CSSLP / CISSP / CCSP / OSCP is a plus.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

The Goldman Sachs Group, Inc., 2023. All rights reserved.

The Goldman Sachs Group is looking for a Lead Product Security Engineer within the Asset and Wealth Management division. This role involves collaborating with engineering teams to enhance cybersecurity measures while balancing commercial objectives.

Key responsibilities include advising on security best practices and managing a small team. Candidates should have over 6 years in secure architecture and a strong grasp of application security tools and methodologies.

We are Compliance Engineering, a global team of more than 300 engineers and scientists who work on the most complex, mission‑critical problems. We build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm, have access to the latest technology and to massive amounts of structured and unstructured data, leverage modern frameworks to build responsive and intuitive front end and Big Data applications. The firm is making a significant investment to uplift and rebuild the Compliance application portfolio.

SRE at Goldman Sachs combines software and systems engineering to build, run, and maintain high‑performant, distributed, fault‑tolerant systems. As a SRE Engineer you will be filling a mission‑critical role ensuring that our systems are healthy, monitored, automated, and designed to scale. You will collaborate with engineering teams to continually improve our production services, facilitate fast delivery of new services, and reduce downtime. SRE utilizes automation, tools and solid engineering principles to optimize existing systems, build infrastructure and eliminate operational work. We are looking for passionate, curious, driven engineers who thrive on solving operational problems and improving efficiency and would like to apply their skills to Compliance Engineering SRE.

• Proactive management of our production services by measuring and monitoring availability, capacity and overall system health.
• Shaping software before go‑live through activities such as system design consulting, capacity planning and launch reviews.
• Scaling and evolving systems by pushing for changes that improve capacity and reliability.
• Practicing sustainable incident management in a blameless post‑mortem culture.
• Identifying and building improvements to system behavior, control and monitoring tools.
• Defining and maintaining Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to quantify and manage service reliability.
• Engineering solutions to reduce "toil" through advanced automation and self‑healing system capabilities.
• Conducting capacity modeling and performance tuning to ensure systems meet future demand.

• Experience in one or more of the following: Java, Python and Perl.
• Strong communication skills and the ability to clearly express ideas and arguments.
• Solid analytical and problem‑solving skills with appreciation of technical risk.
• Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design.
• Systematic problem‑solving approach and a sense of ownership and drive.
• Ability to debug and optimize code and to automate routine tasks.
• Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry).
• Deep understanding of containerization and orchestration technologies, specifically Docker and Kubernetes (K8s).
• Knowledge of networking protocols and load balancing strategies in a distributed systems environment.

• Bachelor's degree in Computer Science, or a related technical field that involves programming.
• Experience in some of the following is desired: SRE experience, relational databases, Hadoop and big data technologies, knowledge of the financial industry or compliance/risk functions.
• Experience with Chaos Engineering principles and fault‑injection testing to verify system resilience.
• Familiarity with cloud‑native architecture and managed services (AWS, Azure, or GCP).
• Understanding of Error Budgeting and its application in balancing feature velocity with system stability.
• Hands‑on experience with Infrastructure as Code (IaC) frameworks such as Terraform, Ansible, or CloudFormation.

• Passionate about solving operational problems and constant improvement via automation.
• Highly motivated, pro‑active and capable of working under pressure without compromising development processes.
• Strong, committed and reliable team player and strong communicator, able to take direction but also willing to contribute to discussions on design and strategy.
• Possess client‑facing skills to be able to deal with and form good relationships with the business and other technology groups through day‑to‑day support and project work.
• Ability to multi‑task and be effective working in a fast‑paced environment.
• Interest in financial markets, technology and the ability to learn.

The Goldman Sachs Group is seeking a passionate SRE Engineer to join Compliance Engineering. You will work on high‑performant, distributed systems, ensuring health, monitored, automated, and scalable services, collaborating with engineering teams to improve production delivery.

You will shape design reviews, capacity planning, incident response, and automation. You will implement observability tooling (Prometheus, Grafana, OpenTelemetry) and container orchestration with Docker and Kubernetes to

The Goldman Sachs Group in Dallas seeks a Controller Operations professional to advance regulatory reporting capabilities and risk controls across the firm’s financial products and activities. You will collaborate with regulatory and business teams to improve compliance rates and drive process improvements.

Ideal candidates will have 5+ years in financial services, strong analytical and communication skills, and a solid grasp of the regulatory landscape.

The Goldman Sachs Group is seeking a Vice President for its Credit Risk team in Dallas. In this role, you will manage the firm's corporate credit risk, performing fundamental credit analysis and reviewing loan transactions.

The ideal candidate will have at least 6-8 years of relevant experience, strong analytical skills, and the ability to work collaboratively across various departments. This position offers an opportunity to play a pivotal role in the firm's credit decision-making processes.

Job Duties

Vice President, Data Analytics & Reporting BI with Goldman Sachs & Co. LLC in Dallas, Texas. Drive the design and implementation of scalable, maintainable Business Intelligence (BI) solutions using modern tools such as Tableau, Power BI, and Alteryx, and analytical languages such as Python, R, and SQL, enabling enterprise-wide data-driven decision-making. Act as a strategic analytics partner to business and operations stakeholders (e.g., loan servicing, client onboarding), translating complex requirements into clear metrics, key performance indicators (KPIs), and actionable dashboards that advance strategic objectives. Establish and maintain standards, policies, and governance processes for BI systems and tools across the analytics stack, by conducting code reviews and ensuring compliance with firmwide data policies and best practices. Coordinate BI project prioritization and stakeholder engagement to ensure timely delivery of analytics solutions aligned to defined business goals. Evaluate and analyze the trade lifecycle by collaborating with business, middle office, and engineering teams to understand end-to-end flows, identify automation opportunities, and reduce risk for the firm and its clients. Provide technical guidance and mentorship to BI analysts and developers, promoting best practices in dashboard design, performance optimization, and data storytelling. Elicit and document business requirements, produce specifications for BI solutions, and ensure full testing traceability to align deliverables with stakeholder needs.

Master's degree (U.S. or foreign equivalent) in Data Science, Business Analytics, or a related field and two (2) years of experience in job offered or a related role OR Bachelor's degree (U.S. or foreign equivalent) in Data Science, Business Analytics, or a related field and five (5) years of experience in job offered or a related role. Prior work experience must include two (2) years of experience (if a Master's degree) OR five (5) years of experience (if a Bachelor's degree) with: experience working in a Business Intelligence, Risk Management or Data Analytics related role within the financial services sector; working with data-pipeline design, multidimensional data modeling, and data-warehousing techniques for advanced analytics and reporting; performing data extraction, transformation, and loading (ETL) by writing and optimizing complex queries in database languages such as SQL; applying Alteryx, Python, or R for descriptive analytics to identify process improvements, mitigate risk, and enhance operational efficiency; utilizing Tableau and Power BI for dashboard performance optimization and communicate findings and drive data-informed decisions for stakeholders; and translating business requirements into technical specifications and actionable analytical insights for diverse audiences, including senior management.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

Job Duties: Vice President, Data Analytics & Reporting with Goldman Sachs Services LLC in Dallas, Texas. Analyze large and complex datasets to perform exploratory and advanced data analysis, applying established experimentation and analytical best practices, and identifying, escalating, and resolving data, system, and algorithm performance issues. Design, develop, and implement Business & Artificial Intelligence applications, including defining and monitoring performance and risk indicators, and present analytical outcomes to stakeholders. Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards that will support divisional business and analytical needs. Collaborate with cross-functional solution experts and advisors to share analytical approaches and reusable code through showcasing outputs, and lead stakeholder engagements to identify and implement low-code and automation opportunities. Manage and track analytics initiatives, extend and modify analysis and development based on observations of data, process limitations and implications of outcomes.

Job Requirements: Master’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Management Information Systems, or related field and three (3) years of experience in the job offered or in a related Data Analytics role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Management Information Systems, or related field and five (5) years of experience in the job offered or in a related Data Analytics role. Prior work experience must include three (3) years of experience (with a Master’s degree) OR five (5) years of experience (with a Bachelor’s degree) in the following: applying data analytics techniques across multiple concurrent data initiatives, involving at least three (3) projects at a time, where the projects are in either a financial services context or a human capital management (HCM) context; designing and delivering ETL (Extract, Transform, Load) development of database objects, SQL (Structured Query Language) queries and data analytic capabilities in cloud rational database platforms (such as Snowflake), traditional rational database platforms (such as Microsoft SQL Server) and centralized repository (such as Data Lake); developing, maintaining and managing data driven dashboards and analytics using commercial data visualization tool kit, including experience with one of the following: Tableau, Power BI or Qlikview; building and enhancing business intelligence applications, including automation, process optimization, data analysis, data visualizations, and report creations, using Alteryx or Power BI; utilizing Python for data processing, web scraping, and generating reports; and designing, developing, and optimizing robust data models, including conceptual, logical, and physical, to support financial analytics and reporting, ensuring data integrity, scalability, and performance.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.