Goldman Sachs Logo

Goldman Sachs

AMD Public-New York-Associate-Quantitative Engineering

Posted Yesterday
Be an Early Applicant
In-Office
New York, NY, USA
Junior
In-Office
New York, NY, USA
Junior
Partnering with portfolio managers to build quantitative models, analytics, and production-quality software to support portfolio construction, trading automation, and data management for fixed income and liquidity solutions.
The summary above was generated by AI

About Asset & Wealth Management 

Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm's primary investment area, we provide investment and advisory services for some of the world's leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are:

  • Investors, spanning traditional and alternative markets offering products and services
  • Advisors, understanding our clients' priorities and poised to help provide investment advice and strategies that make sense for their portfolios
  • Thought Leaders, providing timely insights across macro and secular themes to help inform our clients' investment decisions
  • Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goals

 

About Fixed Income and Liquidity Solutions

Fixed Income and Liquidity Solutions is an investment team with a global suite of products that delivers fixed income and money market portfolio solutions and manages assets for a broad range of clients such as pension funds, endowments, foundations, financial institutions, insurers and high net worth individuals.  We focus on investing and advising clients across all sectors of the fixed income market, ranging from traditional investment grade products to more opportunistic/distressed investing. 


Your Impact as a Strategist

Within Goldman Sachs Asset Management, quantitative engineering strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with portfolio managers across asset classes, their invaluable quantitative perspectives on complex financial and technical challenges power our business and investment decisions.

As a member of our team, you will use your advanced training in mathematics, programming and logical thinking to construct quantitative models that drive our success. Your talents for research, 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.

Whatever your background, you will bring a fresh perspective and unique skillset to our business. In return, you will be trained by our experts to navigate the complexities of the financial markets and state-of-the-art methods in quantitative finance.

An ordinary day is anything but. You may work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, trading automation, data analysis and more. Whichever your area of contribution, your ideas will have measurable effect on our business and for our clients.


Who We Look For

  • We are interested in individuals who have strong analytical and coding skills and a passion to use technology to solve business problems. 

 

Responsibilities

  • Working closely with portfolio managers to build quantitative models and tools to streamline portfolio management process
  • Developing sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment.
  • Developing quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve the portfolio construction process and improve portfolio performance
  • Developing rigorous and scalable data management/analysis tools to support the investment process.  
  • Implementing mathematical models and analytics in production-quality software.

 

Qualifications

  • Background in a quantitative discipline (e.g. mathematics, engineering, physics, or computer science) with a preference for Masters and PhDs
  • Municipal and corporate credit markets experience beneficial
  • Strong mathematical and analytical skills
  • Desire and ability to create innovative solutions to commercial challenges
  • Proficient in at least one programming language, and proven experience in production software development life cycle (SDLC)
  • Excellent communication skills
  • A self-starter, should have ability to work independently as well as thrive in a team environment

ABOUT GOLDMAN SACHS

At 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.

HQ

Goldman Sachs New York, New York, USA Office

200 West Street, New York, NY, United States, 10282

Similar Jobs

37 Minutes Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Lead global partner pricing strategy and deal support for Datadog's partner network. Serve as liaison with Deal Desk and cross-functional teams to operationalize partner pricing, incentives, and commercial programs. Build scalable documentation, playbooks, and enablement for Partner Sales Managers.
Top Skills: Commercial Operations PlatformsCpqPricing CalculatorsQuoting Systems
37 Minutes Ago
Remote or Hybrid
USA
100K-140K Annually
Mid level
100K-140K Annually
Mid level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Corporate Sales Engineer will be a subject matter expert in Next-Gen SIEM, collaborating with Sales, conducting demonstrations, and creating custom enablement for teams.
Top Skills: AWSAzureGCPLog ManagementNext-Gen Siem
37 Minutes Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
192K-240K Annually
Senior level
192K-240K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Lead vision, prioritization, and execution for 100+ Datadog Agent integrations across infrastructure and AI-native workloads. Drive roadmap, expand on-prem and AI integration coverage (LLM frameworks, AI agents, ERP systems), analyze adoption data, partner cross-functionally for launches, and remove blockers to accelerate delivery.
Top Skills: Ai AgentsAi ObservabilityBentomlCcmDatadog AgentHugging Face TgiKafkaKubernetesLlm Inference FrameworksMcp ServersMicrosoft DynamicsModel Orchestration ToolsMongoDBMySQLNdmOracle EbsOracle FusionPostgresSAPSecurity

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account