Tech Risk – Global Cyber Defense & Intel – Cybercrime Threat Engineer – Analyst

Dallas, Texas, United States

Goldman Sachs

The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that provides a wide range of financial services.

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Led by the Chief Information Security Officer (CISO), Technology Risk secures Goldman Sachs against hackers and other cyber threats. We are responsible for detecting and preventing attempted cyber intrusions against the firm, helping the firm develop more secure applications and infrastructure, developing software in support of our efforts, measuring cybersecurity risk, and designing and driving implementation of cybersecurity controls. The team has global presence across the Americas, APAC, India and EMEA. 

Within Technology Risk, the Global Cyber Defense and Intelligence (GCDI) identifies malicious activity, manage the lifecycle of vulnerabilities within GS technologies, and investigates and manages threats across the firm. We are a team of security, software, and product engineers that allow the firm to respond appropriately to firm risks through the use of detection models, security architecture, and cutting-edge cyber threat analysis to manage internal and external threats against the firm. 

Goldman Sachs has one of the most progressive Technology Risk teams in the industry and is continuing to push the development of risk in preference to security within technology and the business.  Year on year success has led the team to work deeper into the organization and gain valuable insights into how technology needs to function, what its risk really is and how this impacts the business. 

YOUR IMPACT 

In this position you will work alongside incident responders, security engineers, and firm leadership to respond, manage, and mitigate cybercrime threats. You will partner with colleagues from the business, Engineering, Tech Risk, Compliance, and Legal to leverage all available resources to protect the firm from cyber threats, and recommend uplifts in processes, procedures, and controls. 

HOW YOU WILL FULFILL YOUR POTENTIAL  
 
We are looking for a naturally curious, creative problem solver who’s excited to protect our clients and firm from emerging cybercrime threats while innovating and building industry leading solutions. You’ll help gather and analyze threat data, develop detections to spot cybercrime activity, and collaborate with cross-divisional teams to create innovative solutions that stop cybercriminals in their tracks. 
 

Responsibilities include: 

Monitor internal alerts and external intelligence sources (e.g., open-source, deep/dark web) to spot cybercrime patterns and emerging cyber threats. 

Correlate data points (e.g., malware indicators, authentication logs, bot activity) to understand malicious behaviors and at-risk populations 

Support the creation of new detection models and automated alerts that identify suspicious account creations or account compromises. 

Investigate potential cyber fraud cases, document findings, and recommend quick, decisive actions to limit financial and reputational impact. 

Partner with divisional tech risk, engineers, data scientists, and business teams to refine detection methods and develop scalable prevention techniques. 

Clearly articulate risks, concerns, and potential solutions to stakeholders in concise, understandable terms. 

Identify process gaps and propose creative, “out-of-the-box” improvements that make our defenses smarter and stronger. 

Stay curious by exploring new tools, techniques, and intel sources that help us outpace cybercriminals’ evolving tactics. 

 

BASIC QUALIFICATIONS  

Bachelor’s degree in a technology or analytical field 

1–3 years of combined experience (or strong academic background) in cybersecurity, incident response, cyber fraud prevention or related fields 

Experience with SQL and Python  

Eagerness to learn about cyber fraud detection, bot management, client authentication technologies, and machine learning 

 

PREFERRED QUALIFICATIONS  

Master’s degree in a technology or analytical field 

Proficiency in statistics and mathematics 

Experienced with Python to automate repetitive tasks and for data analysis 

An understanding of common cyber fraud tactics 

Strong interpersonal and communication skills—you enjoy sharing insights and brainstorming with teammates  

 

#TechRiskCybersecurity  

  

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  
 

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Tags: Architecture Banking Data analysis Engineering Finance Machine Learning Mathematics Open Source Python Security SQL Statistics

Perks/benefits: Career development Wellness

Region: North America
Country: United States

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