Overview
On Site
Full Time
Skills
Wealth Management
Asset Management
.NET
Mutual Funds
Replication
Taxes
Research
Innovation
Teamwork
Quantitative Analysis
Quantitative Research
Collaboration
Workflow
High Availability
Regulatory Compliance
Mentorship
Java
Python
Scripting
Bash
Korn Shell
Perl
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Docker
Terraform
Microservices
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Trading
Market Analysis
Portfolio Management
Order Management
Portfolio Optimization
Software Engineering
OOAD
Data Structure
Algorithms
Distributed Computing
Database
Sybase
IBM DB2
MongoDB
Systems Analysis/design
Testing
Continuous Integration
Continuous Delivery
Soft Skills
Target Audience
Analytical Skill
Conflict Resolution
Problem Solving
Supervision
Communication
Attention To Detail
Management
Computer Science
Electrical Engineering
Mathematics
Physics
Investment Banking
Securities
Investment Management
Training And Development
Finance
Recruiting
SAP BASIS
Law
Job Details
Job Description
OLDMAN SACHS ASSET MANAGEMENT (GSAM)
Goldman Sachs Asset Management manages approximately $3.2 trillion across a variety of asset classes and mandates including institutional portfolios, high net worth accounts and mutual funds, using sophisticated investment models that have been developed in an innovative research environment. Current investment solutions span all geographies and include actively managed quantitative and fundamental strategies across all asset classes, fund and index replication, global tactical asset allocation, tax advantaged offerings, income based strategies, factor based investing, and ESG oriented portfolios - with more strategies under development. As one of the longest-running teams in the industry, GS AMD has developed a strong reputation for innovation, excellence, teamwork and camaraderie.
Quantitative Investment Strategies or QIS, manages over $100 billion across a variety of mandates including institutional portfolios and funds. We employ a mix of sophisticated quantitative models, that have been developed in an innovative research environment to help our clients achieve better returns. As one of the longest-running quantitative teams in the industry, QIS has developed a strong reputation for innovation, excellence and teamwork.
ROLE DESCRIPTION
We are seeking a Software Engineer to join our team as we build innovative solutions for the QIS business. In this role, you will be part of a highly motivated team designing and developing high performance, scalable solutions for our quant investment business. Work closely with quant researchers, data scientists and portfolio managers in a dynamic and data-driven environment to build our next generation portfolio construction and trading platforms.
Responsibilities include:
Design, build and maintain scalable, high throughput, cloud native systems for quantitative research and trading.
Collaborate with quants, traders, and data scientists to develop customized workflows for model generation, portfolio rebalancing and trade execution
Optimize system performance to reduce latency, in a high availability, high-throughput trading environment.
Ensure code quality, security and compliance in a highly regulated financial environment
Mentor junior engineers and contribute to shaping development and architectural best practices
Skills & Qualifications
Programing Languages
Strong expertise in Java and Python
Knowledge of scripting languages (e.g. bash, ksh, PERL)
Cloud & Infrastructure
Deep understanding of cloud platforms (AWS and/or Google Cloud Platform) and experience with K8s, Docker and Terraform
Experience in serverless architectures, distributed computing and microservices
Data & Machine Learning
Experience working with machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn etc)
Finance & Trading (Preferred)
Prior experience with global financial markets and quantitative investment and trading approaches is a plus
Knowledge of market data, portfolio management systems, order management systems is a plus
Understanding of quantitative finance and portfolio optimization is a plus
Software Engineering & Best Practices
Experience in Object Oriented Analysis, Design and testing best practices
Strong data structures, algorithms, and distributed computing concepts
Strong working experience with database technologies - Schema & no-schema - Sybase, DB2, Mongo, Single Store
Experience with all stages of the development lifecycle: inception, analysis, design, review, testing, and deployment
Experience with CI/CD pipelines
Soft Skills
Ability to communicate in both technical and non-technical terms depending on the target audience
Excellent analytical and problem-solving skills
Ability to work in a fast-paced high-stakes environment with minimal supervision
Solid verbal and written communication skills
Integrity and an ability to thrive in a team environment.
High degree of attention to detail and ability to manage complex processes, along with the judgment to balance risk/benefit tradeoffs
Suitable background would be in Computer Science/Electrical Engineering/Math/Physics
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: ;copy;
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.
OLDMAN SACHS ASSET MANAGEMENT (GSAM)
Goldman Sachs Asset Management manages approximately $3.2 trillion across a variety of asset classes and mandates including institutional portfolios, high net worth accounts and mutual funds, using sophisticated investment models that have been developed in an innovative research environment. Current investment solutions span all geographies and include actively managed quantitative and fundamental strategies across all asset classes, fund and index replication, global tactical asset allocation, tax advantaged offerings, income based strategies, factor based investing, and ESG oriented portfolios - with more strategies under development. As one of the longest-running teams in the industry, GS AMD has developed a strong reputation for innovation, excellence, teamwork and camaraderie.
Quantitative Investment Strategies or QIS, manages over $100 billion across a variety of mandates including institutional portfolios and funds. We employ a mix of sophisticated quantitative models, that have been developed in an innovative research environment to help our clients achieve better returns. As one of the longest-running quantitative teams in the industry, QIS has developed a strong reputation for innovation, excellence and teamwork.
ROLE DESCRIPTION
We are seeking a Software Engineer to join our team as we build innovative solutions for the QIS business. In this role, you will be part of a highly motivated team designing and developing high performance, scalable solutions for our quant investment business. Work closely with quant researchers, data scientists and portfolio managers in a dynamic and data-driven environment to build our next generation portfolio construction and trading platforms.
Responsibilities include:
Design, build and maintain scalable, high throughput, cloud native systems for quantitative research and trading.
Collaborate with quants, traders, and data scientists to develop customized workflows for model generation, portfolio rebalancing and trade execution
Optimize system performance to reduce latency, in a high availability, high-throughput trading environment.
Ensure code quality, security and compliance in a highly regulated financial environment
Mentor junior engineers and contribute to shaping development and architectural best practices
Skills & Qualifications
Programing Languages
Strong expertise in Java and Python
Knowledge of scripting languages (e.g. bash, ksh, PERL)
Cloud & Infrastructure
Deep understanding of cloud platforms (AWS and/or Google Cloud Platform) and experience with K8s, Docker and Terraform
Experience in serverless architectures, distributed computing and microservices
Data & Machine Learning
Experience working with machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn etc)
Finance & Trading (Preferred)
Prior experience with global financial markets and quantitative investment and trading approaches is a plus
Knowledge of market data, portfolio management systems, order management systems is a plus
Understanding of quantitative finance and portfolio optimization is a plus
Software Engineering & Best Practices
Experience in Object Oriented Analysis, Design and testing best practices
Strong data structures, algorithms, and distributed computing concepts
Strong working experience with database technologies - Schema & no-schema - Sybase, DB2, Mongo, Single Store
Experience with all stages of the development lifecycle: inception, analysis, design, review, testing, and deployment
Experience with CI/CD pipelines
Soft Skills
Ability to communicate in both technical and non-technical terms depending on the target audience
Excellent analytical and problem-solving skills
Ability to work in a fast-paced high-stakes environment with minimal supervision
Solid verbal and written communication skills
Integrity and an ability to thrive in a team environment.
High degree of attention to detail and ability to manage complex processes, along with the judgment to balance risk/benefit tradeoffs
Suitable background would be in Computer Science/Electrical Engineering/Math/Physics
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: ;copy;
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.