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Senior Quantitative Analyst, Corporate Treasury

2 months ago


Dallas, Texas, United States The Goldman Sachs Group, Inc Full time
Job Overview

In the realm of Corporate Treasury (CT) Engineering, you will encounter a dynamic intersection of computer science, finance, and mathematics aimed at fulfilling our stakeholders' expectations for optimal returns against calculated risks.

Corporate Treasury serves as the core of Goldman Sachs, ensuring that all divisions possess the necessary funding to execute their operations while maximizing the firm's liquidity and managing associated risks.

The Interest Rate Risk (IRR) and Analytics Strategies team within CT is dedicated to crafting quantitative models for Asset Liability Management, focusing on the optimization, analysis, and management of the firm's interest rate income derived from assets and the interest rate expenses associated with liabilities.

Key Responsibilities:
  • Construct quantitative models to assess interest rate risk from both economic and earnings viewpoints, including liquidity and currency risks.
  • Enhance the firm's interest rate income by formulating balance sheet analytics and hedging strategies adaptable to various market conditions.
  • Comprehend business requirements, data necessities, and specifications; facilitate and develop process workflows essential for implementing engineering solutions.
  • Conduct quantitative analyses and aid in the business's understanding of technical outcomes.
  • Collaborate with other strategists and technology teams to effectively utilize financial resources in alignment with commercial objectives.
Essential Qualifications:
  • Advanced degrees (PhD or Masters) in a quantitative discipline such as Engineering, Mathematics, or Physics.
  • A minimum of 5 years of relevant experience, ideally within the financial services sector.
  • Robust analytical, mathematical, and programming expertise.
  • Proficiency in Python or a similar programming language; experience in software development, with a solid grasp of data structures, algorithms, software design, and fundamental programming principles.
  • Specialization in a facet of quantitative analysis, such as mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, or financial modeling.
  • Familiarity with financial markets and assets; preference for experience in vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging strategies, and risk management.
  • Exceptional communication skills, including the ability to engage with both technical and business audiences while collaborating globally across multiple regions.
About Goldman Sachs

Goldman Sachs is committed to leveraging our people, capital, and ideas to support our clients, shareholders, and the communities we serve in achieving growth. Established in 1869, we are a premier global investment banking, securities, and investment management firm, with a headquarters in New York and offices worldwide.

We recognize that individual identity enhances professional performance. Our commitment to fostering and promoting diversity and inclusion extends beyond our workplace, ensuring that every individual within our firm has ample opportunities for professional and personal development, from training and development programs to wellness and personal finance initiatives. Learn more about our culture, benefits, and people at Goldman Sachs.

We are dedicated to providing reasonable accommodations for candidates with special needs or disabilities throughout our recruitment process.