• 150,000 - 225,000
  • New York

150,000 - 225,000

New York

See The Original Here

Global Markets - Associate, Structured Finance & Lending (SFL) Strat

What we do

Structured Finance & Lending (SFL) Strats Team within Global Markets Division (GMD) is responsible for modeling and pricing of structured trades, as well as building monitoring and management tools for structured lending businesses and clients.The business focus on providing customized financing solutions to clients, which covers a wide range of collateral asset classes such as private credit and equity, capital calls or specialty assets, in the forms of Loans, Repurchase Agreements (Repos), Asset-Backed Securities and Derivatives.This role offers a unique opportunity to work with the structured lending businesses to deliver solutions to our clients while gaining exposure to a wide range of asset classes.

Your Impact

SFL Strats play a critical role in deal structuring, pricing, execution and risk management. This is a highly visible platform to put quantitative skills and knowledge in use to make a direct impact on business growth. You will gain familiarity with different asset classes & risk factors while working on various trades and projects and build a broad foundation of product knowledge.

Responsibilities

  • Improve existing pricing models and create new ones for structured products.
  • Understand transaction risks and analyze drivers of profits and losses.
  • Provide analysis for new transactions.
  • Drive commercial outcomes using data.
  • Improve existing and create new machine learning models for the pricing and analysis of private market assets and transactions.
  • Identify, curate, and integrate new structured and unstructured datasets into models.
  • Build end to end solutions from data collection to automated actions.

Who We Look For

  • Strong quantitative and coding skills.
  • Solid work ethics, team oriented, high levels of motivation.
  • Ability to work in fast-paced environment and time-sensitive situations.
  • Effective communication skills in verbal and writing to both technical and business audience.

Basic Qualifications

  • Bachelors degree or above in a STEM area
  • Strong math and quantitative skills
  • Programming experience in Python and strong knowledge of data structures and algorithms
  • Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits
  • Knowledge of credit market and products, interest rates, FX, or risk management is preferred.
  • Experience in a front office Strats or similar role is a plus.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. Were committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more

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Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found

Benefits

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Salary Range

Benefits

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