The Core Engineering- Liquidity Quantitative Engineer / Strat - Associate - London

The Core Engineering The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm’s compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm’s liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units: Metrics & Analytics Platforms: responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functionsThe Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metricsFinancials & Reporting: responsible for facilitating the production of the firm’s financials and a wide range of reporting functionsNon-Financial Risk & Controls: responsible for non-financial risk and control processesEnterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurementShared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk FUNCTIONALITY DESCRIPTIONDeveloping risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualizationPerforming detailed analysis on risk trends and driversUpdating and maintaining risk models along with business growth and risk environment changesDeveloping and maintaining large scale risk infrastructures/systems using strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python, Scala)Experience in designing highly scalable, efficient systemsEffectively communicating results and outputs from the model and insights from analysisQUALIFICATIONSPost graduate degree /Bachelor’s degree in Mathematics, Physics, Electrical Engineering or related technical discipline3+ years experience in software development, including a clear understanding of data structures, algorithms, software design and core programming conceptsStrong analytical and problem solving skills using math, statistics, and programmingDemonstrated ability to learn technologies and applyExcellent communication skills including experience speaking to technical and business audiences and working globallyStrong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)Experience in designing highly scalable, efficient systemsFamiliarity with financial markets, financial assets and risk management practices is a plusABOUT GOLDMAN SACHSAt 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: https://www.goldmansachs.com/careers/footer/disability-statement.html The Goldman Sachs Group, Inc., 2023. 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.Posting Date: 2026-09-11