Equity Derivatives Engineering

Compensation

: $162,550.00 - $162,550.00 /year *

Employment Type

: Full-Time

Industry

: Financial Services - Banking/Investment/Finance



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MORE ABOUT THIS JOB

What We Do

The Equity Derivatives Automation Strats team is responsible for designing, implementing and maintaining the models and systems used for pricing and trading equity derivatives. Starting with our equity options franchise, our broad mandate is to research models and build infrastructure to improve workflows and systematize trading strategies. We model and implement processes for price discovery and market calibration as well as finding parameterizations for things like equity funding spreads and vol surfaces. Additionally, we build out the infrastructure for automated trading, such as the quoting system and request for quote processes including the automated calculation of bid and offer prices.

Your Impact

The trading strategies you develop will be used to price client trades and manage the risk of the US Eq Options desk as we seek to make the entire US derivatives flow business more systematic and automated. You will also have a high level of ownership in of models and tools to analyze trade execution rates, market share, P&L, and risk.

RESPONSIBILITIES AND QUALIFICATIONS

Responsibilities

Throughout the Securities Division, strategists are using quantitative and technological techniques to solve complex business problems. As a flow vol Strat, you will play an integral role on the trading floor and work directly with traders to create cutting-edge solutions by:

* Researching new models for pricing and risk management in our equity derivatives franchise
* Examine trading patterns in the equity options market to identify opportunities for liquidity provision
* Use and improve our existing data collection applications to find new trading strategies and alphas
* Work closely with the trading desk and automation strats to implement your models in efficient and resilient production code

Basic Qualifications

* Academic background in a STEM discipline such as Computer Science, Engineering, Physics, Mathematics, or Financial Engineering
* 2+yrs experience writing code in a structured language (C, C++, Java, etc.) for real-time processing applications
* Analytical background including an understanding of applied math, probability, or statistics
* Ability to communicate effectively both verbally and in writing to technical and non-technical audiences

WHO WE ARE

At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global Strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

ABOUT GOLDMAN SACHS

The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.? The Goldman Sachs Group, Inc., 2019. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.


Associated topics: bond, broker, broker dealer, buy, commodities, equity, fiduciary, market, security, sell * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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