AI Strategist – Job Description

Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is 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.

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.

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.

The Role and Key Responsibilities:

We are team of strategists whose mission is to deliver data and AI solutions for both internal trading desks and external clients. Our team’s products cover the range of financial subject matter relevant to a strategists across a broad range of derivate products across fixed income, FX, Commodities and Equities.

Strategists working in this role will also work with emergent genAI technologies and data platforms as part of their model development. While their core expertise will be in financial modeling domain knowledge common to strategists across GS, this role will also require a working understanding of genAI techniques and more traditional data science. Key responsibilities include

• Providing powerful analytics to trading and clients to enable them to discover and analyse data and develop content
• Developing APIs to build help build scale, efficiency and automation into existing workflows
• Optimizing existing infrastructure for better performance
• Working with global teams on high impact projects to influence business decisions

Required Qualifications:

• Strong academic background with a MSc/PhD in a relevant quantitative field – Mathematics, Computer Science, Physics, Engineering etc
• Strong programming skills in at least one high level language such as Java, C++, C#, Python
• Comfortable multi-tasking, working as part of a team in a very fast paced and dynamic environment
• Strong knowledge of data structures and algorithms
• Excellent verbal and written communication skills

Preferred Qualifications – Vice President

• 5 or more years of programming experience, preferably in finance
• Exposure to pricing, risk analytics for fixed income or foreign exchange derivatives
• A track record of solving quantitative problems and delivering results in a high-pressure environment
• Knowledge of version control systems Git/SVN/CVS a plus