Technology, Technology Risk, SIRT Security, Data Scientist, Analyst/ Associate - Bengaluru

Job ID
Schedule Type
Full Time
Technology Risk
Employment Type


Our team of engineers builds solutions to the most complex problems. We develop cutting-edge systems and processes that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and crunch billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.



Job Summary & Responsibilities

Securtity Data Scientist

Do you enjoy solving challenging puzzles?  Protecting critical networks from cyber-attacks?  Designing and integrating state-of-the-art technical solutions?  A position as a Security Analyst on Goldman Sachs’ Threat Management Center lets you do all this and more:

  • Apply statistical methodology, machine learning, and Big Data analytics for network modelling, anomaly detection, forensics, and risk management. 
  • Responsible for the creation of innovative methodologies for extracting key parameters from big data coming from various sensors. 
  • Utilize expertise in machine learning, statistical data analytics, and predictive analytics to help implement analytics tied to cyber security and hunting methodologies and applications 
  • Design, develop, test and deliver complex analytics in a range of programming environments on large data sets 
  • Apply latest technologies in machine learning, data mining, and predictive analytics to correlate the big datasets and events, and derive dynamic cybersecurity rules. 
  • Generate highly accurate and near real-time security alerts based on the dynamic rules. 
  • Collaborate with a global team to continually operate and improve a world-class cyber program by driving the uplift of sensory tools, detection tuning, and access to data sources to increase detection effectiveness by applying data analytics. 
  • Experience in statistics, visual analytics, machine learning algorithms, data mining, text mining, customer analytics, optimization and risk analytics. 
  • Experience in setting up Hadoop Clusters, and working on large data sets in a distributed computing environment. 
  • Experience with programming languages including Java, Python, R,& SQL 
  • Convey complicated technical analysis to senior management via investigation synopses, graphical depictions of attacks, and comprehensive presentations. 
  • Participate in a 24x7 coverage model to prevent and remediate security threats against Goldman Sachs’ global business network.


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., 2017. All rights reserved
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.