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The Data Intelligence organization aims to make data a strategic asset for the enterprise by providing a platform that enables the structuring, management, integration, control, discovery, usage, and governance of our Data Assets.The team leverages a wide variety of cutting edge technologies including Hadoop, HBase, Spark, Apache Beam, Apache Flink, Kakfa, SQL, OLAP platforms, Presto, Hive, Java and Python. Your impact will be to Curate, design and catalog high quality data models to ensure that data is accessible and reliable. Build highly scalable data processing frameworks for use across a wide range of datasets and applications. Provide data-driven insight and decision-making critical to GS’s business processes, in order to expose data in a scalable and effective manner. Understanding existing and potential data sets in both an engineering and business context.
Are you looking to apply your quantitative skills while deepening your understanding of Securities operations? Our Korea SDO is seeking a professional who is looking to collaborate with clients, sales, traders, and various teams across operations & federations team to manage local team to support business and mitigate risks associated with Korea Business.
Operations is a dynamic, multi-faceted division that partners with all parts of the firm to deliver banking, sales and trading and asset management capabilities to clients around the world. In addition, Operations provides essential risk management and control to preserve and enhance the firm’s assets and its reputation. For every trade agreed, every new products launched or market entered, every transaction completed, it is Operations that develops the processes and controls that makes business flow.
The Korea SDO is responsible for the trade process management and settlement and regulatory reporting of OTC derivatives for trading desks.
We're a team of specialists charged with managing the firm’s liquidity, capital and risk, and providing the overall financial control and reporting functions. Whether assessing the creditworthiness of the firm’s counterparties, monitoring market risks associated with trading activities, or offering analytical and regulatory compliance support, our work contributes directly to the firm’s success. The division is ideal for collaborative individuals who have strong ethics and attention to detail.
In Finance Engineering, you’ll find an exciting confluence of computer science, finance and mathematics being used to solve for what our shareholders would like from us – a high return for the right risk taken.
Corporate Treasury Strats team is looking for world class quantitative programmers to work closely with Corporate Treasury partners to employ quantitative analytics to drive optimizations of firm liquidity, cash and collateral management, funds transfer pricing and trade execution strategies. This is an integrated group which both explores new ideas for optimizing the funding management of the firm and also executes trading strategies, all in one team. Corporate Treasury lies at the heart of Goldman Sachs, ensuring that businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm’s funding costs and managing liquidity risks. As part of the Corporate Treasury Engineering team you will be exposed to securities division and banking initiatives, to new business activities, and to critical strategic programs Goldman Sachs pursues to maintain its leadership among global financial institutions.
Corporate Treasury Strats use their engineering and/or scientific background to implement quantitative analytics and management solutions in software. Corporate Treasury Engineering products guide funding sourcing decisions, allocation of financial resources, quantification of funding costs, and strategies to minimize costs and hedge risks. Successful strats are highly analytical, driven to own commercial outcomes, and communicate with precision and clarity. Corporate Treasury Strats welcomes applicants with Master’s or a PhD in financial engineering/financial math; quantitative sciences, e.g. physics, statistics, applied math or other quantitative discipline; or relevant professional experience. Strong analytical skills, mathematical fluency, and programming abilities are required.