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Software Engineer Prime Services Technology Inventory Management

2.00 to 5.00 Years   Bangalore   22 May, 2020
Goldman Sachs
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Software Engineer - Prime Services Technology - Inventory ManagementLocation(s) IN-BengaluruJob ID 2020-59240 Schedule Type Full Time Level Associate Function(s) Software Engineer Region India Division Engineering Business Unit Prime Services Technology Employment Type Employee MORE ABOUT THIS JOB ENGINEERINGWhat 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.Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities Start here.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 Technology is at the heart of our multi-billion dollar business. Our engineers develop lowlatency, scalable, and resilient solutions which drive global equities sales and trading at Goldman SachsThe Equities quant/synthetic program in Asia Pacific delivers a platform for GS current and prospective quant clients for trading Equities. Key features include lower latency, higher throughput, position and acct management for both co-location and existing GS OM2 flows. Additional engineers allow platform build roadmap between 2017-2019; allowing GS to significantly grow gross revenues from 2016 to 2020. Quant clients will also drive increases in market share for GS APAC over the same time frame, leading significant benefits in both tiering and liquidity for all clientsBasic Qualififcations

  • Developers ideally with C++ and/or SecDB experience. also looking for Java developers with a solid OO background
  • Open for a talent with a willingness to develop key features for clients in a front office environment
ABOUT GOLDMAN SACHS ABOUT 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. Were 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., 2020. All rights reserved.Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity,

Keyskills :
javasql javascriptsql server jquerybig data risk managementmachine learning investment

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