Tech Risk - Global Cyber Defense & Intel - Cyber Data ...

Tech Risk - Global Cyber Defense & Intel - Cyber Data Engineer - Associate 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. 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 a global presence across the Americas, APAC, India, and EMEA. Within Technology Risk, the Global Cyber Defense and Intelligence (GCDI) identifies malicious activity, manages 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. 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 data to protect the firm from cyber threats. 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: Build and maintain scalable data pipelines to process high throughput streaming data, ensuring data integrity and reliability. Analyze threat data and leverage machine learning models to develop automated threat detection mechanisms. Collaborate with cross-divisional teams to develop innovative solutions that stop cybercriminals in their tracks. Partner with incident response and security engineering teams to identify gaps in processes and recommend enhancements. Leverage SQL and Python to perform advanced data analysis, enabling the identification of anomalies and trends within large-scale log data. Responsibilities include: Data Engineering Expertise: Proven ability to design, build, and maintain scalable data pipelines and ETL workflows, ensuring robust data quality and integrity, with experience handling large-scale streaming data (e.g., Kafka, Spark Streaming). Machine Learning Development: Experience in building, training, and deploying machine learning models for real-world applications, particularly with large datasets, focusing on scalability and performance. Big Data Proficiency: Familiarity with handling massive log volumes, high-throughput data streams, and distributed processing frameworks (e.g., Apache Hadoop, Apache Spark). Software Engineering Best Practices: Strong foundation in software development life cycle, version control, CI/CD pipelines, and writing modular, testable, and maintainable code. Technical Proficiency: Advanced proficiency in Python (mandatory) and SQL; experience with Google BigQuery and cloud-based data solutions is a strong plus. Mathematical and Analytical Skills: Solid background in mathematics, computer science, operations research, or related quantitative fields, enabling rigorous analytical problem-solving. Cybersecurity Domain Knowledge: Familiarity with cybersecurity concepts, frameworks, or tools is advantageous but not required. An ability to work with large-scale log data in the context of cyber threat detection is highly desirable. Agile Collaboration: Ability to work effectively in cross-functional teams, including product managers, data scientists, and other engineers, while adhering to agile development methodologies. BASIC QUALIFICATIONS 3-5 years of combined experience (or strong academic background) in cybersecurity, incident response, cyber fraud prevention, or related fields. Hands-on experience with data analysis techniques including writing complex queries in SQL. Familiarity with building data pipelines for large streamlining datasets using tools like Kafka, Apache Spark, or similar technologies. Eagerness to learn about cyber fraud detection, bot management, client authentication technologies, and machine learning. PREFERRED QUALIFICATIONS Bachelor's degree in a technology or analytical field such as Computer Science, Data Science, Mathematics, or Operations Research. Strong programming skills, particularly in Python, with experience in writing modular, testable, and efficient code. Hands-on experience with cloud-based data platforms such as Google BigQuery, or similar tools. Proficiency in building and deploying machine learning models in production environments. An understanding of common cyber fraud tactics (e.g., phishing, account takeover). Strong interpersonal and communication skills"”able to work collaboratively across technical and non-technical teams. Experience working in cybersecurity, including threat detection and prevention, is a plus but not required. 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 firm-wide 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: Disability Statement . #J-18808-Ljbffr

Created: 2025-03-01