Job Abstract

Goldman Sachs’ Strats business unit is a world leader in developing quantitative models and technologies to solve complex business problems. Working within the firm’s trading, sales, banking, and asset management divisions, strats use their mathematical and scientific training to create financial products, advise clients on transactions, measure risk, and identify market opportunities. Investment Banking Strats are involved in marketing, structuring, pricing, and executing transactions for large corporations and institutions in the capital markets and M&A. We develop state-of-the-art quantitative and analytical methods for advising clients, and we build financing and risk-management solutions across products and industries.

Investment Banking Strats are both investment bankers and innovators who create analytics and scalable technology platforms that will shape the future of investment banking and how we connect with clients. Direct participation in client interactions, deal executions, and other core commercial activities allows us to be in the optimal position to develop technical innovations that create economic leverage and differentiate the firm. We ensure maximum technical efficacy by encouraging fluency in the latest quantitative models, data science, data engineering, and software platforms through peer learning, MOOC-like curated learning, and online training resources.

Our team members are quantitative engineers, financial engineers, and data scientists who share a passion for investment banking and the financial markets.

Job Summary & Responsibilities

We are looking for an Analyst to join the Investment Banking Classic Strats team in New York. This is a desk strat role which predominantly covers the M&A and industry coverage groups within Investment Banking.

The position involves solving business, data, and technology-related problems across the business, using large and complex financial datasets, and working in tandem with Investment Bankers across different industry and product groups. The role requires a combination of the following competencies: an understanding of the financial markets, M&A, equity and debt products, strong quantitative modelling skills, strong communication skills with non-technical clients and marketers, data and statistical analysis including machine learning, and software engineering.

A successful candidate must act as a local liaison with our global team, and interact with the Financing Group, Classic Banking, Global Markets, and other Investment Banking Engineering teams. We expect them to be self-led, entrepreneurial, and capable of managing the delivery and adoption of key products.

Responsibilities

• Develop state-of-the-art quantitative and analytical methods for targeting new transaction opportunities.
• Develop new tools to make data and analytics accessible to a broad range of internal users.
• Program in Python or other languages utilizing machine learning and statistical methods.
• Leverage knowledge of computer programming techniques to build and maintain technical infrastructure that underpins the Firm’s reporting applications.
• Create and maintain datasets based on raw data sources from multiple vendors, which involves working with data vendors and designing and building data pipelines, database schemas, data storage solutions, data integration and curated datasets that best serve different business purposes.
• Develop supportive ideas and solutions to solve questions from both internal and external clients, which can cover deal performance analysis, competitor analysis, and deal execution strategy.
• Build and automate reports, analyses, and alerts to efficiently generate materials and data visualization for internal management, business monitoring, risk management, and opportunity targeting.

• Bachelor’s or advanced degree in a quantitative/ STEM discipline (e.g., Mathematics, Computer Science, Engineering, Statistics etc.)
• Strong quantitative / analytic reasoning and problem-solving abilities
• Strong technical and computer programming skills in an Object-oriented programming language such as Python or Java
• Strong data management skills in data querying languages including SQL, MongoDB, and NoSQL, and extracting large quantities of data from different data sources
• Strong oral and written communication skills
• Strong interpersonal skills; desire and ability to play on a team
• Strong interest in finance, investment banking, and the capital markets
• Results-oriented work ethic based upon responsibility, enthusiasm, and pride in work

• 1+ years of quantitative modeling and development experience
• 1+ years of working experience in finance, investment banking and / or capital markets