Quantitative Engineer- Asset

4 weeks ago

Dallas, United States Goldman Sachs Group, Inc. Full time

Software Engineer- Asset & Wealth Management- Dallas- Associate

Job Description

Asset and Wealth Management Division - Engineering Goldman Sachs Quantitative Engineering is a leading developer of quantitative models and cutting edge systems to solve complex business problems. Working with the firm’s trading, operations, finance, sales, banking and investing businesses, engineers use their mathematical and scientific training to create financial products, advise clients on transactions, identify market opportunities, assist managing risks, and provide technical solutions to facilitate all business activities. Goldman Sachs Asset and Wealth Management Division (AWM) is one of the four key revenue generating Divisions of the Firm. AWM Alternatives is the private side of Asset Management and invests in a wide range of global asset classes including: Private Credit, Real Estate, Corporate Private Equity, Growth Equity and Infrastructure worldwide. The AM Private Alternatives Strategists collaborate with investing and finance professionals to create quantitative computer models and web applications to support all aspects of the investing and lending life cycle. We create quantitative models and develop software applications to help structure, value, hedge, and risk manage the investments in our portfolios, and applications as an interface to those models. Members hold advanced degrees in Engineering, Computer Science, Mathematics and Physics. The team proactively collaborates with colleagues globally to ensure that the best solutions are implemented. Your Impact WithinGoldman Sachs Asset Management,quantitative engineers work in close collaboration with all parts of the business across asset classes, building products for portfolio, fund, deal, and budgeting analytics and models. We are interested in individuals who have strong coding skills and a continued interest to learn about finance. As a member of our team, you will use your training in programming, mathematics, and logical thinking to construct applications that drive our success. Your talents for analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment. Job Duties: Utilize programming and analytical skills to architect and develop applications for AWM to translate business and technical requirements into well-designed applications. Build platforms which facilitate portfolio management, risk management, and capital management functions for AWM. Participate in the complete software life cycle using various Software Development Life Cycle (SDLC) tools. Play a lead role in requirements gathering, design and implementation phases of significant systems. Responsible for supporting systems including troubleshooting issues with end users and troubleshooting a wide array of legacy applications with limited documentation. Develop and maintain relationships with business users and other internal clients. Develop full stack applications using technologies like Kotlin, Typescript, ReactJS, and SpringBoot Utilize relational and non-relational databases. Must be willing to work with proprietary technologies. No knowledge of proprietary technologies is required pre-hire. Basic Qualifications Strong quantitative background with Bachelor’s degree or higher in Computer Science, Engineering, Mathematics or related technical discipline Pro-active attitude to problem solving, personal sense of ownership and responsibility, collaborative team-player, and a strong growth mindset Experience in applying algorithms and data structures to write complex programs. Experience working with design patterns, prototyping, full-stack and agile software development. Experience with maintaining quality and reliable code bases by writing unit, integration, and feature tests. Experience working with source control, such as CVS, git, or subversion. Experience working with the entire software development life cycle, including requirements gathering, design, development, testing, deployment, and support. Preferred Qualifications Masters in Computer Science, Engineering, or related technical science discipline orpractical experience building software in a commercial environment Working knowledge of Corporate Finance and Financing Mathematics

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