Quantitative Engineer, Corporate Treasury, Portfolio Strategy

Corporate Treasury lies at the heart of Goldman Sachs, ensuring that businesses have the appropriate level of funding to conduct their activities, while optimizing the firm's funding costs and managing liquidity risks. We are responsible for managing the firm's liquidity, funding, balance sheet and capital to maximize net interest income and return on equity through liability planning and execution, financial resource allocation, asset liability management, and liquidity portfolio management.

In Corporate Treasury Engineering, you'll find an exciting confluence of computer science, finance and mathematics being used to solve for what our shareholders would like from us - a high return for the right risk taken. We own the analytics, methodologies, and infrastructure that facilitates the execution of Corporate Treasury's mandate.

The Portfolio Strategy team is looking for world class quantitative analysts to build analytics on interest PnL as well as risk managed by Corporate Treasury. As part of the team, you will be involved in capital markets and banking initiatives, new business activities, firmwide strategic programs, risk reporting and associated processes.

Your Impact:

By creating reporting and analysis to quantify funding needs and costs, Corporate Treasury Strat products are used to guide allocation of financial resources and strategies to minimize costs and hedge risks, including funding sourcing decisions. Successful Strats are highly analytical, driven to own commercial outcomes, and communicate with precision and clarity.

Corporate Treasury Strats welcomes applicants with a PhD or a Masters, or a Bachelors with relevant work experience, in financial engineering, physics, statistics, applied math, or other quantitative sciences. Strong problem-solving skills, mathematical fluency, and programming abilities are required.

How you will fulfill your potential:

• Develop software and analytics to progress Corporate Treasury's mandates: interest rate pricing & risk management, trade execution, funding optimization & liquidity risk management and cash & collateral management.
• Optimize the firm's liability stack by developing balance sheet analytics and hedging strategies.
• Actively engage with Corporate Treasury Core team, supporting risk/P&L reporting and building analytics to explain trends.
• Work with other Strats and technology departments to optimally leverage financial resources to achieve commercial priorities.
• Perform quantitative analysis and facilitate business understanding of technical results.

Skills and experience we are looking for:

• Expertise in an aspect of quantitative analysis, e.g., mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling.
• Extensive background in object-oriented computer programming: C++, Java, Python or equivalent language, preferably in large scale financial or technical computation.
• Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond pricing, curve construction, hedging strategies and risk management.
• Excellent communication skills, including experience speaking to both technical and business audiences and working globally across multiple regions.
• 2+ years of relevant, continuous experience.