Data Scientist [Multiple Positions Available]

Location: Plano, TX, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging technology to drive innovation in the financial services industry. As a Data Scientist in our Predictive Science team, you will play a pivotal role in building advanced machine learning and NLP models that address complex business challenges, such as enhancing fraud detection systems, optimizing investment portfolios, and personalizing customer experiences. Based in our state-of-the-art Plano, TX location, you will collaborate with elite teams to transform vast amounts of financial data into actionable insights, contributing to the firm's mission of delivering superior client outcomes in a dynamic global market. Your day-to-day responsibilities will involve end-to-end model development, from data ingestion and preprocessing of structured and unstructured financial datasets to deploying scalable solutions using cutting-edge tools. You will tackle real-world problems like predicting market volatility through time-series analysis or extracting sentiment from earnings calls via NLP, ensuring all models align with JP Morgan's rigorous standards for accuracy, interpretability, and regulatory compliance. This role offers the opportunity to work on high-impact projects that directly influence business decisions and product enhancements across Chase's consumer banking, investment management, and corporate divisions. We seek passionate individuals who thrive in a collaborative, fast-paced environment and are eager to innovate within the financial sector. With multiple positions available, this is your chance to join a world-class organization committed to ethical AI practices and professional growth. If you have a strong foundation in ML and a drive to apply it to financial challenges, JP Morgan Chase provides the platform to advance your career while making a meaningful difference.

Key Responsibilities

• Develop and deploy advanced machine learning models to solve complex business problems in risk management, fraud detection, and customer personalization at JP Morgan Chase
• Apply NLP techniques to analyze unstructured financial data, such as market reports, customer feedback, and regulatory documents
• Collaborate with cross-functional teams including product managers, engineers, and business stakeholders to enhance product capabilities in areas like investment advisory and trading platforms
• Conduct exploratory data analysis on large-scale datasets to identify patterns and insights relevant to financial services
• Optimize model performance through hyperparameter tuning, feature engineering, and A/B testing in production environments
• Ensure model compliance with JP Morgan's data governance standards and ethical AI practices
• Mentor junior data scientists and contribute to the Predictive Science team's knowledge-sharing initiatives
• Stay abreast of emerging ML trends and integrate them into JP Morgan's innovative financial solutions
• Document model methodologies, results, and recommendations for executive reporting
• Participate in agile sprints to deliver iterative improvements to machine learning pipelines

Required Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field
• 3+ years of experience in data science, machine learning, or predictive modeling within the financial services industry
• Proficiency in Python or R for developing machine learning models and data analysis
• Strong understanding of natural language processing (NLP) techniques and libraries such as spaCy or NLTK
• Experience with big data technologies like Hadoop, Spark, or SQL for handling large-scale financial datasets
• Demonstrated ability to deploy models in production environments using tools like Docker or Kubernetes
• Excellent problem-solving skills and ability to translate business needs into technical solutions

Preferred Qualifications

• Experience working at a major financial institution like JP Morgan Chase or similar
• Knowledge of financial regulations such as GDPR, SOX, or Basel III and their impact on data modeling
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for scalable ML deployments
• Publication record in machine learning conferences or journals
• Advanced degree with a focus on AI/ML applications in finance

Required Skills

• Machine Learning Algorithms (e.g., regression, classification, clustering)
• Natural Language Processing (NLP) and Text Analytics
• Python Programming (including libraries like TensorFlow, PyTorch, scikit-learn)
• Data Wrangling and ETL Processes with Pandas and NumPy
• Big Data Tools (Spark, Hadoop, Kafka)
• SQL and Database Management (e.g., PostgreSQL, Oracle)
• Model Deployment and MLOps (Docker, Kubernetes, MLflow)
• Statistical Analysis and Hypothesis Testing
• Financial Domain Knowledge (risk modeling, time-series forecasting)
• Cloud Computing (AWS SageMaker, Azure ML)
• Version Control (Git) and Collaborative Development
• Problem-Solving and Critical Thinking
• Communication Skills for Stakeholder Engagement
• Agile Methodologies and Project Management
• Ethical AI and Bias Mitigation Techniques

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at the Plano campus
• Flexible work arrangements including hybrid options for work-life balance

JP Morgan Chase is an equal opportunity employer.