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    GBM Public, Structured Credit Trading, Analyst, London - Goldman Sachs

    Goldman Sachs
    Goldman Sachs London, United Kingdom

    3 weeks ago

    Default job background
    Description

    Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and who are energized by the bustling trading floor.

    Goldman Sachs is a leading origination, sales, trading, and lending franchise globally, covering the breadth of market participants and products. The Structured Finance and Lending (SFL) desk at Goldman Sachs was established in 2001 as a global investing and trading business in structured finance. The team originates and makes markets on a variety of credit asset classes, structures bespoke financing solutions and focuses on opportunistic funding deployment and credit investing. These include Private Equity and Private Credit Fund Financing Solutions, Corporate Solutions, TRS Financing, and Project Finance. SFL manages a wide range of macro risk as well as credit and funding risks of a structured and illiquid nature. Local teams in London, Hong Kong and Dubai interact closely with Sales, Banking, and clients to identify sources of excess liquidity globally and deploy it efficiently to counterparties in a variety of secured formats.

    Scope of Role:

  • Structuring and Diligence – Structure secured lending transactions across Total Return Swaps, Private Equity, Private Credit, and Corporate sectors. Fundamental diligence and analysis of collateral and counterparties.
  • Documentation – Preparation of term sheets, as well as review and negotiation of complex legal documents related to lending transactions.
  • Product development – Collaborate to monitor market developments, reverse engineer structures in the market, and devise novel and unique features to optimize financing; understanding the implication of and solving regulatory, structural and market challenges.
  • Model and research development – Work to develop financial models in support of transaction execution, rating agency interactions and investor dialogue. Work to identify areas of research that are critical to product development, risk measurement within transactions, or investor education
  • Communication – Ability to interact with internal and external clients, including structurers, bankers, finance teams, legal counsel, rating agencies, and accountants. We expect that this professional will be a key part of our client franchise and will participate in and travel to meetings and client events
  • Risk Management – Active risk management and monitoring across the public and private side of the book, discuss existing and new strategies to effectively monetize the risks in the book in a volatile environment.

    • Minimum education and experience required:

  • Strong academic record with Bachelor's degree, equivalent or above in a technical discipline (. Maths, Physics, Engineering, Economics or Management) required. 2-3 years prior experience within investment banking / financial services industry required, preferably in an area that involves intensive fundamental credit research.

    • Qualifications Skills required:

  • A curious mind and desire to be a generalist. Our focus is broad, as well as deep.
  • Entrepreneurial mindset and approach to solving quantitative and qualitative problems
  • Structured products or lending experience and demonstrated knowledge of fixed income markets
  • Demonstrated ability to perform detailed credit analysis in private or public markets
  • Strong analytical and quantitative skills, especially reasoning from first principles when presented with novel asset-types and legal structures
  • Comfort with drawing conclusions and making decisions with incomplete information
  • Demonstrated financial modeling skills to understand and develop deal structure and cash flow waterfall models for revolving and amortizing transactions
  • Technology skills including experience with Microsoft Excel. Python experience preferred.
  • Ability to communicate clearly and anticipate context and follow-ups
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