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Quantitative Engineer

2 months ago


Dallas, Texas, United States Goldman Sachs Bank AG Full time
Job Summary

We are seeking a highly skilled Quantitative Engineer to join our Investment Banking Credit Strat team in Dallas. As a key member of our team, you will be responsible for developing and implementing quantitative models and analytical tools to support our clients in the corporate acquisition financing, relationship lending, and tax equity and credits businesses.

Key Responsibilities
  • Model Development: Develop pricing models related to loans, bonds, corporate credit products, and derivatives.
  • Statistical Analysis: Develop and calibrate statistical models used for measuring credit risk sensitivities, and market implied survival curves.
  • Tool Development: Develop analytical tools and infrastructure to help bankers with daily deal activities, and ROE/ Capital optimization.
  • Risk Management: Develop and implement quantitative hedging strategies used for risk management of the Acquisition financing book across a variety of macro risk factors.
  • Systematic Analysis: Systematic and quantitative analysis of risk, pricing, PnL metrics across desk's positions ranging from bonds, loans to complex derivative products.
Requirements
  • Education: Bachelor's or advanced degree in a quantitative/ STEM discipline (e.g., Mathematics, Computer Science, Engineering, Statistics etc.).
  • Technical Skills: Strong technical and computer programming skills in an Object-oriented programming language such as C, C++, Python.
  • Communication Skills: Strong oral and written communication skills.
  • Interpersonal Skills: Strong interpersonal skills; desire and ability to play on a team.
  • Interest in Finance: Strong interest in finance, investment banking, and the capital markets.
  • Results-Oriented: Results-oriented work ethic based upon responsibility, enthusiasm, and pride in work.