GBM - Public - Data Modeling & Analytics - Associate - London
OPERATIONS
Operations is a dynamic, multi-faceted division that partners with all parts of the firm to provide banking, securities, and asset management services to clients around the world. In addition, Operations provides essential risk management and controls to preserve and enhance the firm's assets and its reputation. For every new product launched and every trade executed, it is Operations that develops and manages the processes and controls that enable business flow. OUR IMPACT Data Modeling & Analytics leads BI (Business Intelligence) initiatives in close partnership with multiple Business Units within the Prime Services Organization to deploy high quality data models, analytics and reporting to meet business objectives (OKRs). We’re seeking a skilled professional who will provide business insights for data driven decisions. In this role, you will apply your quantitative, technical and problem solving skills to support the various business units and clients. You will also play a key role in suggesting and implementing process improvements for the team to mitigate risks, improve operational efficiency and enhance the overall client experience. RESPONSIBILITIES AND QUALIFICATIONS HOW YOU WILL FULFILL YOUR POTENTIAL: • Prepare to gain a comprehensive understanding of the trade lifecycle by interacting with the business, middle office, and engineering teams in order to work toward a shared goal• Leverage your innovative skills to identify ways to continually improve processes
• Mitigate risk for the firm and our clients by securely delivering data to stakeholders
• Partner with engineering teams to develop scalable business processes and data pipelines to support our clients
• Develop data models, analytics and reporting using capabilities such as Legend Studio, Snowflake, Alteryx, SQL, Tableau, R, Python
• Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. BASIC QUALIFICATIONS • Minimum of 4 years of experience in Business Intelligence, Data Engineering or Data Analytics fields
• Analytical, self-motivated, detail-oriented with strong problem solving skills
• Ability to work within a high-risk environment and meet challenging deadlines and targets
• Ability to communicate clearly with end users, development managers and other stakeholders
• Proficient in database query languages such as SQL
• Proficient in Data Visualization with tools such as Tableau, PowerBI
• Proficient in prescriptive analytics using tools such as Alteryx
• Experience with using multi-dimensional data modeling/data warehousing for data analytics and reporting PREFERRED QUALIFICATIONS • Graduate or Undergraduate degree in Computer Science, Statistics, Math, or Engineering
• Experience in financial services, operations fields
• Experience in gathering and documenting requirements with full testing traceability
• Experience in Snowflake, Databricks, Legend Studio platforms
• Data governance and modelling experience ABOUT GOLDMAN SACHS 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. 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. 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., 2025. 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, veterans status, disability, or any other characteristic protected by applicable law.
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