招聘

Asset & Wealth Management - Quantitative Strategist , ETF, New York, Associate
New York, New York, United States
·
On-site
·
Full-time
·
3w ago
必备技能
Go
Machine Learning
What We Do
At 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.
Goldman Sachs Asset Management Division:
A career with Goldman Sachs is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world’s leading asset managers with over $3 trillion in assets under supervision, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and regions and building meaningful relationships with your clients. 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. Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As a primary investment area within Goldman Sachs, we provide investment and advisory services for pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals.
Our products include Hedge Funds, Private Equity, Fund of Funds, Quantitative Strategies, Fixed Income, Stable Value, Fundamental Equity and a Global Portfolio Solutions Business. AMD Technology is directly aligned to the business. Software is engineered in a fast-paced, dynamic environment, adapting to market and customer needs to deliver robust solutions in an ever-changing business environment. AMD Technology builds on top of cutting-edge in-house platforms complimented with a strong focus on leveraging open source solutions.
Who We Look For
Goldman 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.
HOW YOU WILL FULFILL YOUR POTENTIAL
- Be a major contributor to the build out of the ETF platform, including taking projects from beginning to end, from analysis, design, implementation, and go-live
- Work with portfolio manager, traders, and operations to understand requirements for new ETF products, as well as to identify opportunities for efficiency improvements
- Support product launches and ongoing ETF operations
SKILLS AND EXPERIENCE WE ARE LOOKING FOR
- 3+ years of experience as a Software Engineer
- A degree in Computer Science or related field
- Experience with back-end service development in Java
- Experience with front-end UI development
- Experience successfully collaborating directly with stakeholders to understand the product space, identify solutions, and finally deliver software products
- Knowledge of asset management, particularly Equities, Fixed Income and ETFs is a big plus
- Comfort with multi-tasking, a fast-paced environment, and managing multiple stakeholders
- Experience working as part of a global team
- Excellent written and spoken communication
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 employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
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关于Goldman Sachs

Goldman Sachs
PublicThe Goldman Sachs Group, Inc. is an American multinational investment bank and financial services company. Founded in 1869, Goldman Sachs is headquartered in the Battery Park City neighborhood of Manhattan in New York City, with regional offices in many international financial centers.
45,000+
员工数
Lower Manhattan
总部位置
$80B
企业估值
评价
3.9
10条评价
工作生活平衡
2.3
薪酬
4.2
企业文化
3.8
职业发展
4.5
管理层
3.7
72%
推荐给朋友
优点
Excellent training and learning programs
Strong career growth and promotion opportunities
Competitive salary and comprehensive benefits
缺点
Poor work-life balance
Long hours and late work expectations
High stress and overwhelming workload
薪资范围
20,304个数据点
Junior/L3
VP
Junior/L3 · Data Scientist Analyst
0份报告
$146,500
年薪总额
基本工资
-
股票
-
奖金
-
$124,525
$168,475
面试经验
5次面试
难度
3.0
/ 5
时长
21-35周
体验
正面 0%
中性 60%
负面 40%
面试流程
1
Application Review
2
Phone Screen/HireVue Video Interview
3
Superday/Panel Interview
4
Final Decision
常见问题
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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