What We Do

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

Who We Are

Quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and salespeople, our invaluable quantitative perspectives on complex financial and technical challenges power the business decisions.

Within SPG, our team is responsible for utilizing modern and sophisticated quantitative techniques to enhance and further develop custom basket offering. This includes applying quantitative analysis for creation of custom baskets along with automation of our quoting, hedging and risk management activities.

Your Impact

You’ll be part of a diverse and talented team, applying your advanced scientific training to tackle new and exciting problems within our Synthetic trading business.

Role Responsibilities

• Develop and maintain quantitative analytical tools for SPG Custom baskets business
• Development of robust quoting and pricing infra
• Identify opportunity to improve sales and trading efficiency through automation and tooling
• Scale the business by increasing automated risk management for exposures to Equity, FX etc
• Collaborate closely with the trading team to ensure daily accurate risk management
• Form strong partnerships with trading, sales, quants, operations and engineering teams

Who We Look For

An ideal candidate would have strong quantitative and technical problem solving skills, drive to investigate and learn new ideas, and good judgement to deliver quick yet robust solutions. 

Basic Qualifications

• Strong academic background in a relevant field Mathematics, engineering, computer science, or economics background, including a quantitative understanding of statistics and probability
• Strong programming skills in a modern programming language (C++, Python, Java or equivalent language) and familiarity with object-oriented design principles
• Ability to work as a member of a global team and deliver results quickly
• Strong interpersonal/communication skills
• Ability to focus both on details and on the big picture
• Ability to work in a dynamic and fast- paced environment and deliver accurate results quickly
• Ability to solve problems and to explain underlying ideas

Preferred Qualifications

• Knowledge and understanding of financial markets, financial modeling, a quantitative understanding of probability 

Goldman Sachs Engineering Culture

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

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Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity