Data & Analytics

Create solutions that help solve some of the world’s most pressing problems. Areas of focus include:

• Big data analytics
• Deep learning
• Reinforcement learning
• Natural learning processing
• Machine learning
• Time series
• Automation
• Explainability
• Interpretability

• Quantitative Analytics – Drive innovation through financial engineering, derivatives modeling, asset and liability management and risk management. You'll help develop or validate mathematical models, methodologies and tools used throughout the firm while gaining in-depth insight into the world of risk modeling, investment banking and the financial services industry.
• Quantitative Research (QR) – An expert quantitative modeling group and leader in financial engineering, data analytics, and portfolio management, this global team partners with traders, marketers, and risk managers across all products and regions. Their work supports sales and client interactions, product innovation, valuation, risk management, inventory and portfolio optimization, electronic trading and market making, and financial risk controls.
• Systematic Trading - Create innovative solutions and strategies for the world's most competitive financial markets, delivering top-tier client experiences in trading and analytics. As part of the Automated Trading Strategies (ATS) group, you'll work on systematic trading across various markets, designing and implementing automated strategies.

Click here to learn more about opportunities in Quantitative Finance.

FAST develops and executes actionable data science and analytical solutions in a consulting-style environment, while emphasizing creative, practical problem-solving and superior client interaction. The team works on a large range of strategic, highly visible projects with various internal clients and analytics teams across our lines of business and corporate functions. Click here to learn more about FAST.

The MLCoE applies cutting edge machine learning and artificial intelligence methods to challenging problems across the firm. The organization collaborates with data analytics, engineering and product teams across all functions—from sales and trading to digital, operations, finance and risk—and every line of business, from wholesale banking to retail. Their approach combines business knowledge with deep technical AI/ML expertise to build and deploy compatible, scalable solutions across the firm. The team has expertise natural language processing, speech recognition, time series and reinforcement learning, and other machine learning specializations.

The AI Research program aims to explore and advance cutting-edge research in the fields of AI and machine learning, as well as related fields like cryptography, to develop solutions that are most impactful to the firm’s clients and businesses. Experts across multiple AI fields, the team engages in primary research that supports the firm’s research pillars, as well as pressing financial services issues. They also partner internally to accelerate the adoption of AI within the firm, and collaborate with leading faculty around the world on matters of mutual interest.

The Global Technology Applied Research team conducts research in cutting-edge emerging technologies, such as:

• Quantum computing and communication
• Cloud computing and networking
• Augmented and virtual reality (AR/VR)
• Pervasive and ubiquitous computing (Ubicomp)
• Internet of Things (IoT)
• Security and privacy
• Computer vision
• Edge computing

To learn more, click here.