Securities, Divisional Strats, Front Office Market Risk, Analyst/Associate

  • Competitive
  • New York, NY, USA
  • Permanent, Full time
  • Goldman Sachs USA
  • 12 Dec 17 2017-12-12

Securities, Divisional Strats, Front Office Market Risk, Analyst/Associate


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 on exchanges 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 are energized by a bustling trading floor.

Divisional Overview

Goldman Sachs' Strats business unit is a world leader in developing quantitative and technological solutions to solve complex business problems. Working within the firm's trading, sales, banking and investment management divisions, Strats use their mathematical and scientific training to create financial products, advise clients on transactions, measure risk, and identify market opportunities. Roles within Securities Strats Securities Strats play important roles in several areas. Some Strats sit on trading desks, creating cutting-edge derivative pricing models and developing empirical models to provide insight into market behaviour. Others develop automated trading algorithms for the firm and its clients, taking an active part in the increasing shift from voice to electronic trading. A third group works directly with the firm's sales force and clients, analyzing exposures, structuring transactions, and applying quantitative concepts to meet client needs. Between these teams, Core Strats design and develop complex parallel computing architectures, electronic trading tool and advanced algorithms.

Key responsibilities:

  • Developing cross-asset risk platform for securities business for both end-of-the-day and real-time risks
  • Providing analytics to the trading desks and trading heads, focusing on risk, scenarios and Profit and Loss analysis
  • Optimizing existing infrastructure for better performance
  • Creating ad hoc tools and risk metrics to disentangle complex risks and positions
  • Proposing cost-effective and sensible macro-hedges
  • Constantly liaising with frontline risk managers

  • Strong academic background in a relevant STEM field (Computer Science, Engineering, Physics or Mathematics)
  • Ability to focus both on details and on the big picture, as requested
  • Strong programming skills (OOP, SQL)
  • Ability to work with sizable datasets
  • Strong interpersonal/communication skills
  • Good team player, willing to learn

  • Minimum of 2 years of programming experience, preferably in finance
  • Interest in financial market and risk management
  • Derivatives product knowledge
  • Strong Financial Mathematics
  • Knowledge of Counterparty and Funding Adjustments (CVA, FVA, …)
  • Financial Econometrics
  • Machine Learning and Artificial Intelligence techniques

ABOUT GOLDMAN SACHS Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.
The Goldman Sachs Group, Inc., 2015. All rights reserved.