Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Goldman Sachs’ Strats business unit is a world leader in developing quantitative and technological techniques 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. 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 behavior. Others develop automated trading algorithms for the firm and its clients, taking an active part in the increasing shift from voice to electronic trading. Sales Strats work directly with the firm’s sales force and clients, analyzing exposures, structuring transactions, and applying quantitative concepts to meet client needs. Core Strats design and develop complex parallel computing architectures, electronic trading tools, and advanced algorithms. This is a dynamic, entrepreneurial team with a passion for the markets, thriving in fast-paced, changing environments and energized by a bustling trading floor.

About Goldman Sachs
Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm headquartered in New York with offices worldwide. The firm is committed to fostering diversity and inclusion, offering extensive training, development opportunities, and wellness programs to support professional and personal growth.

Experience
Successful candidates typically hold Bachelors, Masters, or Doctoral degrees in Mathematics, Computer Science, Physics, Engineering, or related fields. While financial knowledge is not required, a strong mathematical and computational background is essential.

About you
You are a bright individual with advanced skills in mathematics and computation, eager to learn about finance. You thrive in a fast-paced environment and enjoy solving complex problems using quantitative and technological methods.

Qualifications
Applicants should possess skills in several of the following areas:
- Mathematics: Understanding of partial differential equations, stochastic calculus, time series analysis, statistics, and numerical techniques.
- Technology: Experience building large-scale distributed systems, implementing fundamental algorithms, and proficiency in multiple programming languages.
- Finance: Understanding of market dynamics, conventions, and behaviors of different financial products is advantageous but not mandatory.