Data Science Senior Associate - LLM/NLQ - Asset Management Data Analytics

Location: LONDON, LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging cutting-edge technology to drive innovation in asset management. As a Data Science Senior Associate in the LLM/NLQ team within Asset Management Data Analytics, you will play a pivotal role in empowering investment professionals with advanced natural language solutions. Based in our London office, you will design and deploy sophisticated machine learning models, including large language models (LLMs) and natural language querying (NLQ) systems, to transform unstructured financial data into actionable insights. This position sits within our Predictive Science category, where your work will directly influence high-stakes investment decisions in a dynamic global market. Your day-to-day responsibilities will involve collaborating with cross-functional teams of quants, portfolio managers, and data engineers to identify opportunities for NLP-driven analytics. You will build and optimize models that enable intuitive querying of vast asset management datasets, uncovering trends in market sentiment, risk factors, and portfolio performance. At JP Morgan, we emphasize ethical AI practices, so you will ensure your solutions adhere to stringent regulatory standards like GDPR and MiFID II, while integrating seamlessly with our proprietary financial platforms. This role offers the chance to tackle real-world challenges, such as enhancing alpha generation through sentiment analysis of earnings calls or automating compliance reporting via NLQ interfaces. We seek a passionate data scientist with a strong technical foundation and a keen interest in finance. Joining JP Morgan Chase means becoming part of a world-class institution committed to innovation and excellence. You will have access to state-of-the-art resources, mentorship from industry leaders, and opportunities to contribute to groundbreaking projects that shape the future of asset management. If you thrive in a fast-paced environment and are excited about the intersection of AI and finance, this is your opportunity to make a meaningful impact.

Key Responsibilities

• Design and implement natural language processing solutions to enable NLQ for asset management data analytics
• Develop and deploy advanced machine learning models, including LLMs, to support investment decision-making
• Collaborate with investment teams to translate business requirements into data-driven insights
• Analyze large-scale financial datasets to identify patterns and opportunities for predictive modeling
• Optimize and scale ML models for real-time applications in a high-stakes financial environment
• Conduct research on emerging NLP and ML techniques to enhance JP Morgan's asset management capabilities
• Ensure model robustness, interpretability, and compliance with regulatory standards in finance
• Mentor junior data scientists and contribute to team knowledge sharing
• Monitor model performance and iterate based on feedback from stakeholders
• Integrate LLMs with existing JP Morgan data infrastructure for seamless analytics workflows

Required Qualifications

• Master's or PhD in Computer Science, Data Science, Statistics, or a related quantitative field
• 3+ years of experience in data science roles, with a focus on natural language processing (NLP) and machine learning
• Proficiency in Python and/or R for developing machine learning models
• Strong understanding of large language models (LLMs) and natural language querying (NLQ) techniques
• Experience with deploying models in production environments, preferably in financial services
• Knowledge of financial data, asset management concepts, and investment analytics
• Excellent problem-solving skills and ability to work with cross-functional teams

Preferred Qualifications

• Experience with transformer-based models like BERT or GPT in financial applications
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment
• Prior work in asset management or investment banking at a major financial institution
• Publications or contributions to open-source projects in NLP/ML
• CFA or FRM certification, or equivalent financial qualification

Required Skills

• Python programming for ML/NLP
• TensorFlow or PyTorch frameworks
• Natural Language Processing (NLP) techniques
• Large Language Models (LLMs) and fine-tuning
• SQL and data querying for financial databases
• Machine learning model deployment (e.g., Docker, Kubernetes)
• Statistical analysis and predictive modeling
• Financial data handling and asset management knowledge
• Problem-solving in complex, data-rich environments
• Cross-functional collaboration and communication
• Version control with Git
• Cloud computing (AWS/GCP/Azure)
• Data visualization tools (e.g., Tableau, Matplotlib)
• Regulatory compliance in financial ML applications
• Agile methodologies for project management

Benefits

• Competitive base salary and performance-based annual bonus
• Comprehensive health, dental, and vision insurance coverage
• Generous 401(k) matching and pension contributions
• Paid time off including vacation, sick leave, and parental leave
• Professional development opportunities with tuition reimbursement and internal training programs
• Employee stock purchase plan and financial wellness resources
• Hybrid work model with flexibility and wellness stipends
• Global mobility programs and access to JP Morgan's international network

JP Morgan Chase is an equal opportunity employer.