
The Goldman Sachs Group, Inc
Quantitative Strategist, Global Banking & Markets, Global Currency and Emerging Markets (GCEM)
必备技能
Machine Learning
What We Do
At Goldman Sachs, quantitative strategists are the cutting edge of our businesses, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and sales, strats' invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.
Within our Global Banking & Markets business, our Global Currency and Emerging Markets (GCEM) team works closely with our trading desks to develop quantitative and technological techniques to solve complex business problems. Desk strats sit on trading floors and provide value for both internal & external clients through cutting-edge models, predictive analytics, and high-quality trading tools. We are a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.
Who We Look For
We're looking for candidates with strong quantitative, programming, and communication skills with a keen interest applying those skills in the financial markets. As a desk strat on our GCEM trading desk, you’ll have the opportunity to apply your quantitative acumen towards solving complex problems and creating innovative solutions for our clients. Simultaneously, you’ll be operating in the center of financial markets with plenty opportunity to learn.
Your work will directly impact the firm's bottom line. Whether it’s developing automatic pricing algorithms to help our trading desks make better decisions or building a pricing model product that will help clients hedge risk, you'll create an immediate commercial impact for the firm.
Given our GCEM desk is a global cross-asset desk, you'll also gain exposure to a wide range of asset classes & risk factors (Credit/FX/Rates, vanillas/options/structured exotics). This role will be an invaluable opportunity to sharpen your skills in different domains and build a deep & broad foundation of product knowledge.
Responsibilities
Within this role, you'll create value by providing effective & efficient solutions to our GCEM trading desk, in one or multiple asset classes including Rates, FX, and Credit, from One Delta to Exotics products.
This includes but not limited to:
- Conducting research and deploying machine learning models for trading.
- Developing and optimizing market making algorithms and systems.
- Pricing and hedging analysis for complex transactions.
- Developing and maintaining cutting-edge derivative pricing models.
Qualifications
- Advanced degree, preferably PhD, in quantitative field such Mathematics, Computer Science, Machine Learning, Physics, etc.
- Deep knowledge of cutting-edge machine learning models.
- Self-driven, quick learner, can-do attitude, results-oriented.
- Excellent written and verbal communication skills.
- Strong problem solving and analytical skills.
- Strong coding skills.
- 1-5 years of relevant experience is preferred.
Salary Range
The expected base salary for this New York, New York, United States-based position is $150000-$225000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available
to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.
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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
2条评价
2.9
2条评价
工作生活平衡
2.5
薪酬
3.0
企业文化
2.0
职业发展
4.0
管理层
2.5
45%
推荐率
优点
Amazing career growth opportunities
Chill management at some locations
Work-life balance valued in certain roles
缺点
Toxic workplace culture
Codependent atmosphere
Confusing interview process
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
面试评价
4条评价
难度
3.5
/ 5
时长
21-35周
体验
正面 0%
中性 75%
负面 25%
面试流程
1
Application Review
2
HR Screen/HireVue
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Decision
常见问题
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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