• Goldman Sachs
  • $109,363.33 -170,550.00/year*
  • Jersey City , NJ
  • Information Technology
  • Full-Time
  • 164 Van Horne St


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MORE ABOUT THIS JOB What We DoAt Goldman Sachs, our Engineers don?t just make things ? we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.Engineers in the Finance Division help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, they build critical and complex applications to calculate pnl, monitor the firm?s balance sheet and liquidity, and support various regulatory filings across the globe.Using a combination of computer science, finance and math skills, they build and support complex and critical software products that meet the ever-changing business needs and regulatory environment. They collaborate very closely with the finance business teams to transform accounting rules into working applications.Who We Look ForGoldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. RESPONSIBILITIES AND QUALIFICATIONS RESPONSIBILITIES AND QUALIFICATIONS In an Agile environment manage end-to-end systems development cycle from requirements analysis to coding, testing, UAT, implementation and maintenanceDevelop high level/detailed technical designs, testing strategies, and implementation plans Work in a dynamic, fast-paced environment that provides exposure to all areas of FinanceUnderstand and respond to business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementationSKLLS AND EXPERIENCE WE ARE LOOKING FORStrong programming experience in at least one compiled language (e.g. C, C++, Java)Bachelor?s or Master?s degree in Computer Science or related technical discipline.Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming conceptsStrong Full-stack technical design and development skills and experience.Technologies: Web/RESTful service development: HTML 5, JavaScript/AngularJS/React/Redux, JSONTechnologies: Linux and shell scripting, TDD (JUnit), Scala, Spark, TableauIn-depth knowledge of relational and columnar SQL databases, including database designComfortable with multi-tasking, managing multiple stakeholders and working as part of a teamExcellent communication skills including experience speaking to technical & business audiences and working globallyStrong problem solving and analytical skillsInterest in finance ABOUT GOLDMAN SACHS The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.? The Goldman Sachs Group, Inc., 2019. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.Job SummaryJob ID: 2019-53548Schedule Type: Full TimeLevel: Analyst, AssociateFunction(s): TechnologyRegion: AmericasDivision: EngineeringBusiness Unit: Finance EngEmployment Type: Employee

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Associated topics: .net, c c++, c++, perl, php, python, software development engineer, software engineer, software programmer, sw

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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