Urwah Admin

Goldman Sachs

Goldman Sachs aspires to be the world’s most exceptional financial institution, united by values of partnership, client service, integrity, and excellence. Operating at the center of capital markets, the firm mobilizes its people, capital, and ideas to deliver superior results for clients facing complex challenges. With 157 years of experience, Goldman Sachs provides world-class execution globally across its Global Banking & Markets and Asset & Wealth Management businesses, offering a broad range of career opportunities.

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 Join a team building the data foundations that support the firm&rsquo;s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.
 <br/>
 <br/>
 At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.
 <br/>
 <br/>
 This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases , and may also help extend platform tooling where additional functionality is needed.
 <br/>
 <br/>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Data Engineer
 </strong>
 in the
 <strong>
  Lakehouse and AI Data Platform team,
 </strong>
 you will design, build, test and support data pipelines and curated datasets on the firm&rsquo;s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose. Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.
 <br/>
 <br/>
 The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Pipeline Engineering
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
  </li>
  <li>
   Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
  </li>
  <li>
   Where needed, build reusable tooling to improve delivery, consistency and operational support.
  </li>
  <li>
   Ensure data pipelines are production-ready, well tested and operationally supportable.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Modelling and Curation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
  </li>
  <li>
   Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
  </li>
  <li>
   Work with consumers to shape data products that are usable, well documented and aligned to business needs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Quality and Reconciliation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
  </li>
  <li>
   Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
  </li>
  <li>
   Contribute to clear standards for testing, monitoring and issue resolution.
  </li>
  <li>
   Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Delivery and Partnership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
  </li>
  <li>
   Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
  </li>
  <li>
   For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required
  <br/>
  <br/>
 </strong>
 <strong>
  Skills and Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
  </li>
  <li>
   Strong hands-on programming experience in Python or Java.
  </li>
  <li>
   Good working knowledge of SQL, including troubleshooting, optimisation and data analysis.
  </li>
  <li>
   Ability to learn new tools, internal platforms and delivery workflows quickly.
  </li>
  <li>
   Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Engineering Capability
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Understanding of temporal data modelling, including the handling of historical state and change over time.
  </li>
  <li>
   Knowledge of schema design, schema evolution and data compatibility considerations.
  </li>
  <li>
   Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
  </li>
  <li>
   Ability to make sensible design choices across normalised and denormalised models, and between natural and surrogate keys.
  </li>
  <li>
   Practical approach to data quality, reconciliation and root-cause analysis.
  </li>
  <li>
   Experience building or supporting production data pipelines in a collaborative engineering environment.
  </li>
  <li>
   Experience working with distributed data processing frameworks such as Apache Spark.
  </li>
  <li>
   Working knowledge of common data formats such as JSON, Avro and Parquet.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  For More Experienced Candidates
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Stronger ownership of technical design across multiple datasets or pipeline domains.
  </li>
  <li>
   Experience guiding implementation standards, code quality and engineering practices within a team.
  </li>
  <li>
   Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technology Environment
  <br/>
  <br/>
 </strong>
 The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.
 <br/>
 <br/>
 <strong>
  Examples Of Technologies In Scope Include
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Data processing and logic: ANSI SQL, Apache Spark, Kafka
  </li>
  <li>
   Data formats: JSON, Avro, Parquet
  </li>
  <li>
   Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
  </li>
  <li>
   Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant
   <br/>
   <br/>
  </li>
 </ul>
 You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.
 <br/>
 <br/>
 <strong>
  What We Are Looking For
  <br/>
  <br/>
 </strong>
 We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective.
 <br/>
 <br/>
 <strong>
  Stronger Candidates Will Typically Demonstrate
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   sound judgement in technical trade-offs
  </li>
  <li>
   attention to detail in data correctness and testing
  </li>
  <li>
   a clear and structured approach to problem solving
  </li>
  <li>
   willingness to work closely with stakeholders and partner teams
  </li>
  <li>
   an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements
  </li>
  <li>
   an interest in developing long-term expertise within the firm
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Goldman Sachs
  <br/>
  <br/>
 </strong>
 At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
 <br/>
 <br/>
 We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
 <br/>
 <br/>
 We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 <br/>
 <br/>
 &copy; The Goldman Sachs Group, Inc., 2026. All rights reserved.
 <br/>
 <br/>
 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.
</div>


Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Analyst/Associate - London

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Are you a visionary Data Scientist or Machine Learning Scientist passionate about leveraging cutting-edge AI to transform financial markets? Do you thrive on building end-to-end solutions, from robust data pipelines and sophisticated feature engineering to deploying advanced predictive models and personalized recommendation systems? If you have hands-on experience, and a desire to make a significant impact in a dynamic, fast-paced environment, we want to hear from you.
 <br/>
 <br/>
 <strong>
  OUR IMPACT
  <br/>
  <br/>
 </strong>
 The Global Markets Division
 <br/>
 <br/>
 As a Data Scientist/Machine Learning Scientist in the Global Markets Division, you will be at the forefront of innovation on the trading floor. You will design and implement advanced machine learning models, including predictive AI, to uncover complex market trends and generate actionable insights
 <strong>
  .
 </strong>
 Leveraging cutting-edge techniques, you will develop sophisticated analytical tools that will, at scale, connect clients to the signals, tools and expertise to better analyze their portfolios and manage risk. Your expertise will drive data-driven product development and business strategy through advanced analytics, predictive modelling, and the application of recommendation systems. Our data scientists and machine learning engineers are applying advanced quantitative and AI/ML techniques to solve the most complex business challenges in a dynamic, entrepreneurial team with a passion for the markets.
 <br/>
 <br/>
 Marquee
 <br/>
 <br/>
 Marquee is Goldman Sachs' premier digital platform for Global Banking &amp; Markets, serving our Institutional Clients (Hedge Funds, Asset Managers, Insurers) and Corporate Clients with the latest insights and analytics from the division. A recognized market leader, Marquee has garnered 5 awards over the past 3 years for its innovative solutions.
 <br/>
 <br/>
 The Marquee Sales Strats Team
 <br/>
 <br/>
 The Marquee Sales Strats team is a hub for advanced data science and machine learning, focusing on developing and deploying predictive AI, recommendation systems, and sophisticated analytical models. We leverage extensive datasets, including those structured in graph databases and knowledge graphs, to generate deep insights into financial markets and enhance Marquee&rsquo;s platform engagement. We collaborate closely with Sales, Trading, Engineering, Product, Design, other areas of the Global Markets Division, and directly with clients. Our global team comprises experts in financial markets, product structuring, cutting-edge technology, and advanced data science/machine learning, including specialists in graph theory and knowledge representation.
 <br/>
 <br/>
 <strong>
  How You Will Fulfill Your Potential
  <br/>
  <br/>
 </strong>
 At Goldman Sachs, our Engineers and Scientists don&rsquo;t just make things &ndash; we make things possible. Change the world by connecting people and capital with ideas and technology. Combine advanced engineering and deep market knowledge to solve the most pressing problems for our clients. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment.
 <br/>
 <br/>
 As a Marquee Sales Data Scientist/Machine Learning Scientist, you will be instrumental in designing, developing, and deploying advanced machine learning models, including predictive AI and recommendation systems, to deliver unparalleled analytics and insights for the Goldman Sachs Franchise
 <strong>
  .
 </strong>
 Your work will directly enhance the client experience and drive strategic decision-making
 <strong>
  .
 </strong>
 You will collaborate closely with Traders, Salespeople, and Strats across all asset classes, leveraging your expertise to build robust data pipelines, engineer impactful features, and train sophisticated models. Your contributions will be critical in developing personalized recommendation engines and predictive analytics that drive Marquee platform adoption and ensure clients receive the most relevant, timely, and actionable content. You will utilize technologies including Python (Pandas, Polars, Scikit-learn, TensorFlow/PyTorch), Jupyter, Trino, SQL, and gain exposure to graph database technologies.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  RESPONSIBILITIES AND QUALIFICATIONS:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain robust data pipelines for feature engineering and model training, ensuring data quality, scalability, and explainability.
  </li>
  <li>
   Develop, train, and deploy state-of-the-art machine learning models, with a strong focus on recommendation systems and signal generation, to address complex problems in financial markets.
  </li>
  <li>
   Utilize and contribute to the development of graph databases and knowledge graphs to enrich data context, uncover hidden relationships, and make predictions.
  </li>
  <li>
   Conduct rigorous model evaluation, A/B testing, and monitoring to ensure optimal performance, reliability, and business impact of deployed models.
  </li>
  <li>
   Collaborate with product managers, engineers, and business stakeholders to translate complex analytical findings into clear, actionable insights and integrate ML solutions into production systems.
  </li>
  <li>
   Stay abreast of the latest advancements in machine learning, AI, and data science, and proactively identify opportunities to apply new techniques.
  </li>
  <li>
   Contribute to the team's overall technical growth and best practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative field.
  </li>
  <li>
   2+ years of proven expertise and hands-on experience in the full lifecycle of data science and machine learning projects, from data ingestion and feature engineering to model deployment and monitoring in a production environment.
  </li>
  <li>
   Exceptional programming skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit-learn)
  </li>
  <li>
   Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment.
  </li>
  <li>
   Ideally having understanding and practical experience with graph databases (e.g., Neo4j, Amazon Neptune, ArangoDB) and knowledge graph construction, querying (e.g., Cypher, SPARQL), and utilization for feature enrichment.
  </li>
  <li>
   Strong understanding of statistical modeling, experimental design, and causal inference.
  </li>
  <li>
   Clear, critical thinking, concise writing skills, and excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.
  </li>
  <li>
   Self-starter with a creative, hands-on approach to problem-solving and a passion for designing and implementing programmatic solutions to client needs.
  </li>
  <li>
   Able to thrive in a global, fast-paced, and collaborative team environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Goldman Sachs
  <br/>
  <br/>
 </strong>
 At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
 <br/>
 <br/>
 We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
 <br/>
 <br/>
 We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 <br/>
 <br/>
 &copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
 <br/>
 <br/>
 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.
</div>


Global Banking & Markets - Data / Machine Learning Scientist, Marquee Sales Strats, Associate

<div><div><div><p>Job Duties: Vice President with Goldman Sachs Bank USA in Atlanta, Georgia.<b> </b>Reports to Atlanta, Georgia office, may work fully remote from any US location.<b> </b>Work in all phases of the Software Development Lifecycle (SDLC) to meet internal and regulatory requirements. Utilizing project or program experience in the financial services industry to take large and complex financial applications to cloud Own and drive the process to plan, prioritize and deliver new products and features. Serve as a liaison between stakeholders, users, and product engineers and prioritize initiatives based on business needs and requirements. Perform the role of a scrum master driving the team towards agile methodology of development. Create detailed business analysis plans outlining problems, opportunities, and solutions. Ensure clarity in assigned project requirements to support the development of technical solutions that meet client needs, including managing implementations. Ensure the quality of the project items, deliver engaging, informative, well-organized presentations, and communicate challenging and sensitive information tactfully. Assess and streamline existing process based on customer feedback increasing operational efficiency. Provide hands-on support and advice to management and leadership teams on project management tools and methodologies. Own user facing documentation lifecycle management, including posting new features, sample code, starter projects along with tracking feedback and making updates.</p>
<p>Job Requirements: Master&rsquo;s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or a relevant analytical field such as Business Administration and three (3) years of experience in job offered or related role OR Bachelor&rsquo;s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or a relevant analytical field such as Business Administration and five (5) years of experience in job offered or related role.<b> </b>Prior experience must include three (3) years with Master&rsquo;s OR five (5) years with Bachelor&rsquo;s with the following:<b> </b>full software development lifecycle, including requirements gathering, design, coding, testing, documentation, deployment, and production support; building multi-threaded and multi-process service-oriented C++ or Java enterprise applications within a Unix environment; programming technologies including Java, Spring, Hibernate, RabbitMQ, or Kafka; relational database management system (RDBMS) such as Sybase or Oracle; micro-services architecture design and development including REST, Java, Spring, or other back-end technologies; and database query languages, including SQL or NoSQL technologies such as MongoDB.</p>
<p>&copy;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.</p>
</div></div><div><div><div>We Offer Best-In-Class Benefits
</div></div><div></div><div><div><div><div><div><div>Healthcare &amp; Medical Insurance
</div><div>We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</div>
</div></div></div></div><div></div><div><div><div><div><div>Holiday &amp; Vacation Policies
</div><div>We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</div>
</div></div></div></div><div></div><div><div><div><div><div>Financial Wellness &amp; Retirement
</div><div>We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</div>
</div></div></div></div><div></div><div><div><div><div><div>Health Services
</div><div>We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</div>
</div></div></div></div><div></div><div><div><div><div><div>Fitness
</div><div>To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</div>
</div></div></div></div><div></div><div><div><div><div><div>Child Care &amp; Family Care
</div><div>We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</div>
</div></div></div></div><div></div><div><div><div><div><div>Benefits at Goldman Sachs
</div><div>Read more about the full suite of class-leading benefits our firm has to offer.</div></div></div></div></div></div></div></div><div></div>
<br><div>Opportunity Overview
<div></div><div><div><div>CORPORATE TITLEVice President
</div></div><div></div><div><div>OFFICE LOCATION(S)Atlanta
</div></div><div></div><div><div>DIVISIONPlatform Solutions</div></div></div></div><p></p>

Platform Solutions- Atlanta - Vice President - 3645014

<div><div><div><p>Job Duties: Associate, Software Engineering with Goldman Sachs &amp; Co. LLC in New York, New York. Develop, enhance, support and maintain the Firm&rsquo;s software solutions in support of its global businesses. Design and implement high-quality, scalable and thoughtful technology solutions leveraging both internal and open-source services. Assist in requirements gathering, user story refinement, development, testing (unit, integration and regression), User Acceptance Testing (UAT) and deployment. Work with internal teams to develop solution designs. Identify new external technologies that can be used to transform our financial businesses and internal platforms in innovative and disruptive ways. Work in all phases of the Software Development Lifecycle (SDLC) to meet internal and regulatory requirements. Lead UI/UX design including building mockups and prototype that effectively addresses user requirements. Design, implement and maintain robust testing suites to enable safe, complete, and scalable solutions across our business lines.</p>
<p>Job Requirements: Master&rsquo;s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Management Information Systems, Sustainability Management, or a relevant field and one (1) year of experience in job offered or a related role OR Bachelor&rsquo;s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Management Information Systems, Sustainability Management, or a relevant field and three (3) years of experience in job offered or a related role. Prior experience must include one (1) year of experience (with a Master&rsquo;s degree) OR three (3) years of experience (with a Bachelor&rsquo;s degree) with the following: full software development lifecycle, including requirements gathering, design, coding, testing, documentation, deployment, and production support; design and build high performance font-end application with JavaScript/TypeScript and advanced React Features; programming technologies including Java, JavaScript/TypeScript, Spring, React, CSS/SCSS, html and Ag-Grid; relational database management system (RDBMS) such as Sybase or Oracle; micro-services architecture design and development including REST, Java, Spring, or other back-end technologies; NoSQL technologies including MongoDB and Elasticsearch; conceptualize user requirements to create wireframes and deliver quality UX solutions; and perform both high- and low-level code reviews in enterprise-scale products.</p>
<p>Salary Range: Annual base salary for this New York, New York -based position is $132,000 - $168,700.</p>
<p>&copy;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.</p>
</div></div><div><div><div>We Offer Best-In-Class Benefits
</div></div><div></div><div><div><div><div><div><div>Healthcare &amp; Medical Insurance
</div><div>We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</div>
</div></div></div></div><div></div><div><div><div><div><div>Holiday &amp; Vacation Policies
</div><div>We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</div>
</div></div></div></div><div></div><div><div><div><div><div>Financial Wellness &amp; Retirement
</div><div>We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</div>
</div></div></div></div><div></div><div><div><div><div><div>Health Services
</div><div>We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</div>
</div></div></div></div><div></div><div><div><div><div><div>Fitness
</div><div>To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</div>
</div></div></div></div><div></div><div><div><div><div><div>Child Care &amp; Family Care
</div><div>We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</div>
</div></div></div></div><div></div><div><div><div><div><div>Benefits at Goldman Sachs
</div><div>Read more about the full suite of class-leading benefits our firm has to offer.</div></div></div></div></div></div></div></div><div></div>
<br><div>Opportunity Overview
<div></div><div><div><div>CORPORATE TITLEAssociate
</div></div><div></div><div><div>OFFICE LOCATION(S)New York
</div></div><div></div><div><div>DIVISIONEngineering Division</div></div></div></div><p></p>

Engineering -New York - Associate, Software Engineering – 3396053

<div><div><div><p>Job Duties: Associate, Funding &amp; Capital Planning with Goldman Sachs &amp; Co. LLC in Salt Lake City, Utah. Perform regular review and analysis of the components of regulatory capital for the Firm. Aggregation of key inputs into regulatory capital with associated variance review and substantiation of components. Understand key drivers (i.e., changes in credit spreads and impact on capital neutralizing deductions) and communicating these points to stakeholders. Present complex data (verbally presented in meetings, via email memos, or visual presentations such as PowerPoint). Coordinate across teams (engineering, revenue generating teams, and controllers) to actively work toward identifying weaknesses and limitations and build out sustainable, long-term solutions. Develop processes that can identify and remediate control gaps in current workflows. Develop strong awareness of regulatory rules regarding capital and risk-based reporting metrics and create training materials and resources for executing on daily workflows.</p>
<p>Job Requirements: Master&rsquo;s degree (U.S. or foreign equivalent) in Economics, Finance, Accounting, or related field and one (1) year of experience in the job offered or in a related role OR Bachelor&rsquo;s degree (U.S. or foreign equivalent) in Economics, Finance, Accounting, or related field and three (3) years of experience in the job offered or in a related role. Prior experience must include one (1) year of experience (with a Master&rsquo;s degree) OR three (3) years of experience (with a Bachelor&rsquo;s degree) with: accounting standards and practices such as U.S. Generally Accepted Accounting Principles (GAAP), financial statement analysis, and financial ratios; analyzing and challenging data by identifying discrepancies and troubleshooting errors; using Microsoft Excel including rudimentary VBA, nesting of complex formulas, and data manipulation of large quantities of data in the million+ number of records; and accounting operations experience including execution and oversight of month-end and year-end close processes.</p>
<p>&copy;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.</p>
</div></div><div><div><div>We Offer Best-In-Class Benefits
</div></div><div></div><div><div><div><div><div><div>Healthcare &amp; Medical Insurance
</div><div>We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</div>
</div></div></div></div><div></div><div><div><div><div><div>Holiday &amp; Vacation Policies
</div><div>We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</div>
</div></div></div></div><div></div><div><div><div><div><div>Financial Wellness &amp; Retirement
</div><div>We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</div>
</div></div></div></div><div></div><div><div><div><div><div>Health Services
</div><div>We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</div>
</div></div></div></div><div></div><div><div><div><div><div>Fitness
</div><div>To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</div>
</div></div></div></div><div></div><div><div><div><div><div>Child Care &amp; Family Care
</div><div>We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</div>
</div></div></div></div><div></div><div><div><div><div><div>Benefits at Goldman Sachs
</div><div>Read more about the full suite of class-leading benefits our firm has to offer.</div></div></div></div></div></div></div></div><div></div>
<br><div>Opportunity Overview
<div></div><div><div><div>CORPORATE TITLEAssociate
</div></div><div></div><div><div>OFFICE LOCATION(S)Salt Lake City
</div></div><div></div><div><div>DIVISIONControllers</div></div></div></div><p></p>

Controllers- Salt Lake City- Associate, Funding & Capital Planning- 9347088

<div>
 <strong>
  Job Description
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  <br/>
 </strong>
 <strong>
  Asset &amp; Wealth Management
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 </strong>
 A career with Goldman Sachs Asset &amp; Wealth Management is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world&rsquo;s leading asset managers with over $2 trillion in assets under supervision, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and regions, and building meaningful relationships with your clients. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. Bringing together traditional and alternative investments, Goldman Sachs Asset &amp; Wealth Management provides clients around the world with a dedicated partnership and focus on long-term performance. As primary investment area within Goldman Sachs, we provide investment and advisory services for pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals.
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 <strong>
  Our Impact
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 </strong>
 Goldman Sachs Asset Management (GSAM) delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. GSAM is one of the pre-eminent investment management organizations globally. Critical to the success of GSAM is our ability to leverage a global team of talented professionals to define solutions and lead change across the operational infrastructure. GSAM Client Solutions Group (CSG) works to develop and execute thoughtful investment solutions for institutional clients across the globe. Our diverse institutional client base includes corporate and public pension funds, foundations and endowments, insurers, financial institutions and governments.
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 CSG markets GSAM's investment products and services to institutions, financial intermediaries and advisors. The focus is on building and maintaining long-term client relationships and communicating key themes from the firm's leading investment professionals. CSG provides investment solutions across all major asset classes (e.g., fixed income, equities and alternatives) and products including mutual funds, ETFs, separate accounts and alternative investments.
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  Sustainability &amp; Impact Client Solutions
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 </strong>
 The Sustainability &amp; Impact Client Solutions team mobilizes the full range of sustainability insights, advisory services and investment solutions across our client segments and asset classes (Publics Markets Investing and GS Alternatives, External Investing Group). We collaborate with sustainability teams across the division and firm to deliver the breadth and depth of our sustainability capabilities to our clients. We are seeking an associate to join the team in NYC to fill a unique role focused on developing differentiated insights on leading edge topics on sustainable investing and better serving our clients with content-rich advisory services. This role will work closely with our global team, in addition to working with our Institutional sales teams to deliver client solutions that focus on Sustainability and Impact Investing across public and private markets. In addition, this role will work with various investment teams to support investment product development and broader delivery of our capabilities across different asset classes and across different regions.
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  Specific Responsibilities Include
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 </strong>
 <ul>
  <li>
   Partner with colleagues across global teams, including investment, sales, risks &amp; control, to ensure seamless delivery of sustainability-related services and products across asset classes to our Americas institutional and retail clients
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   Articulate and communicate GSAM&rsquo;s sustainability and impact capabilities and views to both internal and external stakeholders
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   Assist in managing and delivering complex client projects with a sustainability focus. These projects may include portfolio analysis, strategic planning, market insights, and custom sustainability product development
  </li>
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   Conduct research on sustainability trends, energy investments, regulatory developments, and best practices within sustainability and impact investing, providing insights and support for client engagements and product offerings
  </li>
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   Develop client materials, presentations, and content for pitchbooks and language to respond to client due diligence questionnaires and request for proposals
  </li>
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   Actively contribute to the development of long-term client relationships by understanding their needs, goals, and sustainability objectives, helping to position GSAM as a trusted advisor
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   Facilitate partnership between sales, product, and investment teams to ensure that sustainability solutions are effectively integrated into broader sales strategies
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  </li>
 </ul>
 <strong>
  Skills &amp; Experience We Are Looking For
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 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree
  </li>
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   3+ years of relevant prior experience
  </li>
  <li>
   Demonstrated focus, knowledge and experience in sustainable finance, climate, impact investing is a must
  </li>
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   Experience in investment management, or business development, advisory service, preferably in a client-facing role especially with allocators (e.g. pensions, insurers, endowment and foundations, family offices, high net worth individuals) is highly desired
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   Familiarity with portfolio construction, investment processes is highly desired
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   Deep intellectual curiosity combined with a practical, client oriented commercial orientation
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   Proven ability to manage a diverse set of work streams and projects with ownership and drive. Highly comfortable navigating complexity and ambiguity and collaborating with wide variety of colleagues and teams
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   Exceptional verbal and written communication skills, with the ability to deliver clear, concise presentations to a variety of audiences, including senior stakeholders and clients
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   Strong project management and organizational abilities, with the capacity to juggle multiple tasks and deliver results under tight deadlines
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   A team player who thrives in a collaborative environment and demonstrates a proactive approach to contributing to team goals
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   Ability to think critically and offer innovative solutions to meet client needs, with a willingness to take initiative in a fast-paced environment
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   Ability to give clear, direct feedback and receive the same
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   Series 7 and 63 required (or must be obtained within three months of employment)
  </li>
 </ul>
</div>


Asset & Wealth Management, Sustainability and Impact Client Solutions, Associate - New York

<div>
 <strong>
  Job Description
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  <br/>
 </strong>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 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.
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 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.
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 <strong>
  Key Responsibilities
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  <br/>
 </strong>
 <ul>
  <li>
   This position is hands-on and requires close collaboration with Product Management, Engineering, Program Management, and Dev Ops teams.
  </li>
  <li>
   Responsible for security of applications (Cloud/Web/API/Mobile) managed by Asset and Wealth Management (AWM) in conjunction with centralized security teams
  </li>
  <li>
   Act as a security advisor to architects, developers, analysts and others to ensure we design confidentiality, integrity, resiliency, and privacy into the platform
  </li>
  <li>
   Partner with business units to understand requirements, design proposals and evaluate architectural flaws for various on-prem/cloud architectures
  </li>
  <li>
   Evaluate the effectiveness of existing key controls, identify gaps, and recommend improvements to mitigate risks and enhance firm&rsquo;s security posture
  </li>
  <li>
   Supervise, coach, and develop a small team of application security specialists
  </li>
  <li>
   Drive adoption of embedded application security controls as part of the Software Development Life Cycle (SDLC) in Agile methodology, including automated tools.
  </li>
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   Perform secure code reviews and facilitating or conducting penetration testing
  </li>
  <li>
   Assist in implementation of security related product features such authentication, cryptography, authorization, service integration, etc.
  </li>
  <li>
   Develop, maintain, and improve Technology Risk Program reflecting new emerging risks
  </li>
  <li>
   Enable the business to meet security requirements by design
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   <br/>
  </li>
 </ul>
 <strong>
  Skills And Experience Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   6 plus years' experience in secure architecture design, application security, and risk analysis techniques or related fields.
  </li>
  <li>
   Energetic, self-directed and self-motivated, able to build and sustain long-term relationships with colleagues.
  </li>
  <li>
   Must have experience managing multiple tasks and using sound judgment when managing risks, prioritizing and escalating.
  </li>
  <li>
   Must be able to work with deeply technical engineers, identify gaps that need addressing, and hold them to account.
  </li>
  <li>
   Security testing methodologies, tools and techniques - understanding of common application security vulnerabilities and controls to remediate.
  </li>
  <li>
   Expert knowledge of application security best practices including OWASP and CWE and cloud related concepts
  </li>
  <li>
   Hands-on software development and/or application Penetration Testing experience in complex environments an advantage
  </li>
  <li>
   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 towards influencing and driving positive business outcomes.
  </li>
  <li>
   Strong desire to learn and contribute solutions and ideas to a broad team.
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   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
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  <br/>
 </strong>
 <ul>
  <li>
   Experienced in Financial Services/Fintech
  </li>
  <li>
   BS or MS degree in Computer Science, Cyber Security, Information Security, or a related technical field.
  </li>
  <li>
   Experience with leveraging AI/ML to solve security problems and scale operations.
  </li>
  <li>
   Knowledge of secure coding languages (e.g., Python, Java, Go).
  </li>
  <li>
   Cloud related experiences
  </li>
  <li>
   CSSLP / CISSP / CCSP / OSCP is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Goldman Sachs
  <br/>
  <br/>
 </strong>
 At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
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 We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
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 We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
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 &copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
 <br/>
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 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.
</div>


Asset & Wealth Management - Doha - Vice President - Security Engineering

Join Goldman Sachs and explore 12   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.