GBM, Public, ETF One Delta Strat - Quantitative Engineering (NYC)

Goldman Sachs

New York (NY)

On-site

USD 150,000 - 225,000

Full time

14 days+

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Job summary

Goldman Sachs is seeking a candidate for its ETF One Delta Strats team in New York. This role encompasses data analysis, trading strategy development, and risk management in a fast-paced environment. Candidates should have a Bachelor's degree in Engineering or Computer Science and meaningful coding experience in Python or Java.

The expected base salary for this position ranges from $150,000 to $225,000, with potential bonus eligibility. The company offers valuable benefits and a strong employee experience.

Qualifications

  • Strong quantitative and technical problem solving skills.
  • Drive to investigate and learn new ideas.
  • Ability to work in a dynamic and fast-paced environment.

Responsibilities

  • Analyze large data sets and perform back testing to optimize our high touch business.
  • Manage risk and develop trading strategies for a systematic portfolio.
  • Develop models for pricing and risk management.
  • Work closely with traders on market strategies.

Skills

Quantitative problem solving
Technical problem solving
Coding in Python or Java

Education

Bachelor's in Engineering, Computer Science

Job description

ETF One Delta Strats sit within the ETF Trading Desk in the One Delta Equity group in NYC. The team oversees the ETF desks’ systematic trading, data, and technology for the US ETF Trading Desk. This group manages our pricing frameworks, daily fund reconciliation, and systematic hedging efforts across equity ETFs (US and International based holdings). This is an opportunity to sit in a revenue, market facing seat and work on a variety of projects from trading strategies to business optimization.

RESPONSIBILITIES AND QUALIFICATIONS
Responsibilities
  • Analyze large data sets and perform back testing to optimize our high touch business
  • Manage risk and develop trading strategies for a systematic portfolio
  • Develop models for pricing and risk management
  • Work closely with traders and TWCs on strategies to navigate rapidly changing market and risk conditions
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.
Basic Qualifications
  • Bachelors in an engineering field - Engineering, Computer Science.
  • Meaningful experience coding in Python or Java.
  • Ability to work in a dynamic and fast-paced and deliver accurate results quickly.
  • Ability to solve problems and to explain underlying ideas

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Salary Range

The expected base salary for this New York, New York, United States-based position is $150000-$225000. 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.

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