IN
0 suggestions are available, use up and down arrow to navigate them
Global Banking & Markets, Equity Prod...

Apply to this job.

Think you're the perfect candidate?

Global Banking & Markets, Equity Product Engineering, Hyderabad, Associate, Software Engineering

Goldman Sachs Hyderabad, Telangana (Onsite) Full-Time

Equities Systematic Volatility Trading Eng

For SVT desk, Engineers are  the cutting edge of our businesses, solving real-world & real time problems through automation. Working in close collaboration with traders and sales, strats'  to automate the flows using cutting edge technology on complex financial and technical challenges.

We are a team of desk engineers whose primary focus is running a market making platform for a portfolio of retail Structured Products. This offers a wide variety of challenges, from automatic product listing to managing the lifecycle of the product. We have a portfolio of 250k structured products which quotes and trades on various exchange, to manage this we completely rely on technology and automation of various processes, with the overall aim of improving business performance while working closely with traders and salespeople on the trading floor.

Role Responsibilities

  • Automate creation and onboarding of products on-exchange thereby minimizing the time to market for the products.
  • Be involved with all stages of the software development life cycle with a range of technologies to support the underlying infrastructure and frameworks.
  • Manage inhouse exchange for the clients to directly trade with our desk.
  • Work closely with sales and trading, support our automated pricing and trading systems.

Basic Qualifications

  • Excellent academic record in a relevant engineering or computer science field.
  • Strong technical stills with experience in coding complex algos.
  • At least 2 years’ experience.
  • Strong programming skills in an object oriented or functional paradigm, with particular strength in Java, Python and its core concepts.
  • Self-starter who can work with minimum guidance, ability to manage multiple priorities and work in a high-pressure environment.
  • Excellent written and verbal communication skills.

Preferred Qualifications

  • Experience working with large scale timeseries and dimensional data.
  • Previous quantitative or technical role working on or with a derivatives market making desk (irrespective of asset class),
  • Knowledge of building automated systems involving large scale of data.
  • Experience with Secdb/Java.
  • Experience with real-time systems/messaging infrastructures
  • Familiarity with build/deployment/runtime tools e.g. Gradle, Maven, Git, Spring, Kubernete

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Recommended Skills

  • Apache Maven
  • Communication
  • Computer Programming
  • Engineering
  • Finance
  • Git

Apply to this job.

Think you're the perfect candidate?

Help us improve CareerBuilder by providing feedback about this job:

Job ID: 120091

CareerBuilder TIP

For your privacy and protection, when applying to a job online, never give your social security number to a prospective employer, provide credit card or bank account information, or perform any sort of monetary transaction. Learn more.

By applying to a job using CareerBuilder you are agreeing to comply with and be subject to the CareerBuilder Terms and Conditions for use of our website. To use our website, you must agree with the Terms and Conditions and both meet and comply with their provisions.