Software Engineer - GSET Equities High Touch - Institutional Wallet Share

Location(s) IN-KA-Bengaluru
Job ID
2021-71975
Schedule Type
Full Time
Level
Associate
Function(s)
Quantitative Engineer
Region
India
Division
Engineering
Business Unit
Equity GSET Strats
Employment Type
Employee

MORE ABOUT THIS JOB

Divisional Overview
Goldman Sachs’ Strats business unit is a world leader in developing quantitative and technological solutions 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.

High Touch Strats
High Touch Strats are responsible for understanding what drives the business and subsequently designing, implementing, testing, and supporting the systems and strategies to achieve this.  The functional domain spans order management and metrics, flow mechanization, crossing and workflow systems. The team interfaces on a regular basis with sales, trading, technology, external clients, and other Strats teams.

Key responsibilities:

 

  • Use creative technological solutions to streamline business workflows
  • Build products/algos for the business
  • Collect and analyze large amounts of unique data(proprietary and public) to deliver insight and revenue opportunities
  • Identify and develop crossing and flow merchandising opportunities
  • Provide execution consultation for traders, sales traders and clients

RESPONSIBILITIES AND QUALIFICATIONS

Basic Qualification

  • Bachelors or Master’s degree in Computer Science or Engineering is preferred
  • 2-4 years industry experience
  • Strong programming and software development skills with experience in either Java or Python
  • Experience working on high-performance, high-availability, distributed systems
  • Working knowledge of data structures, algorithms and design patterns
  • Strong written and verbal communication skills and ability to work in a team

Preferred Qualification

  • Understanding of financial markets
  • Experience working with live-streaming data (e.g Kafka)
  • Strong statistical analysis and problem solving skills
  • Experience in project management at a basic level
  • Understanding of machine learning techniques

ABOUT GOLDMAN SACHS

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: https://www.goldmansachs.com/careers/footer/disability-statement.html



© The Goldman Sachs Group, Inc., 2021. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity