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 Associate to join the Investment Banking Divisional Strats team in Bengaluru. This is a quantitative role which predominantly covers three main lines of businesses across Investment Banking: 

1. Corporate Acquisition Financing – Focused on originating and executing corporate credit transactions (Term Loans/ Bridge Loans/ Revolvers/ Bonds) for large corporations and financial institutions to support Mergers & Acquisitions, and associated Acquisition financing deals 
2. Relationship Lending – On balance sheet portfolio lending to corporates and financial institutions to foster long-term banking relationships 
3. Tax Equity and Credits – Investment in green energy projects for returns generated through tax equity, as well as purchase and sale of tax credits in the capital markets 

The position involves solving business, data, and technology-related problems across the three lines of 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 qualities: knowledge of the financial markets and debt products, strong quantitative modelling skills in credit and derivative products, strong communication skills with non-technical audience, data and statistical analytical, and software engineering. 

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

Responsibilities

• Development of pricing models related to loans, bonds, corporate credit products, and derivatives
• Development and calibration of statistical models used for measuring credit risk sensitivities, and market implied survival curves 
• Development of analytical tools and infrastructure to help bankers with daily deal activities, and ROE/ Capital optimization 
• Work closely with IB CRO Office, and banking teams to innovate ideas on how to best to structure and book new trades – choice of tradable, choice of pricing model, and features given deal economics 
• Development and implementation of quantitative hedging strategies used for risk management of the Acquisition financing book across a variety of macro risk factors 
• Systematic and quantitative analysis of risk, pricing, PNL metrics across desk’s positions ranging from bonds, loans to complex derivative products 

Basic Qualifications 

• 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 C, C++, Python 
• 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 

Preferred Qualifications 

• 3+ years of quantitative modeling and development experience 
• 3+ years of working experience in finance, investment banking and / or capital markets 
• Prior experience in credit origination business and credit products, and associated risk metrics 
• Awareness of latest Basel Capital requirements, and federal stress tests like CCAR