Trading Desk Strat - Quantitative Engineering - Analyst - NYC - Global Banking & Markets

Overview

On Site
USD 110,000.00 - 125,000.00 per year
Full Time

Skills

Banking
Financial Services
Investment Banking
Securities
Investment Management
Finance
Quantitative Analysis
Training
Analytical Skill
Pricing
Quoting
FX
Collaboration
Risk Management
Partnership
Trading
Sales
Conflict Resolution
Problem Solving
Field Engineering
Computer Science
Mathematics
Python
Java
OOD
Communication
Pick

Job Details

Job Description

Job Description - Trading Desk Strat - Quant Engineering

What We Do

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

Trading desk strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and salespeople, our help solve complex financial and technical challenges that power the businesses.

Within SPG, our team is responsible for utilizing modern and sophisticated technical and quantitative techniques to enhance and further develop custom basket offering. This includes applying quantitative analysis for creation of custom baskets along with automation of our quoting, hedging and risk management activities.

Your Impact

You'll be part of a diverse and talented team, applying your advanced scientific training to tackle new and exciting problems within our Synthetic trading business.

Role Responsibilities

Develop and maintain analytical tools for SPG custom baskets business
  • Development of software infrastructure for pricing, quoting and hedging of Equity custom basket products
  • Identify opportunity to improve sales and trading efficiency through automation and tooling
  • Scale the business by increasing automated risk management for exposures to Equity, FX etc
  • Collaborate closely with the trading team to ensure daily accurate risk management
  • Form strong partnerships with trading, sales, quants, operations and engineering teams

Who We Look For

An ideal candidate would have strong quantitative and technical problem solving skills, drive to investigate and learn new ideas, and good judgement to deliver quick yet robust solutions.

Skills & Experience We're Looking For:
  • Strong academic background in a relevant field engineering, computer science, or mathematics
  • Strong programming skills in a modern programming language (e.g. Python, Java) and familiarity with object-oriented design principles
  • Ability to work as a member of a global team and deliver results quickly
  • Strong interpersonal/communication skills
  • Ability and willingness to pick up new business and/or technical knowledge
  • Ability to work in a dynamic both on details and fast- paced environment and deliver accurate results quickly
  • Ability to solve problems and to explain underlying ideas

Salary Range
The expected base salary for this New York, New York, United States-based position is $110000-$125000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits
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 here.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.