Asset Management Investment Platform - Data Scientist Associate

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. Within our Asset Management division, the Investment Platform team drives innovation through advanced technology to empower investment professionals with data-driven insights. We are seeking a talented Data Scientist Associate to join our AI/ML team in New York, NY, focusing on Predictive Science. In this role, you will contribute to building sophisticated models that enhance asset allocation, risk management, and alpha generation in a dynamic financial landscape. As part of a collaborative environment, you will work alongside quants, portfolio managers, and engineers to leverage cutting-edge AI technologies tailored to the complexities of global markets. Your primary focus will be on developing predictive models using machine learning techniques to analyze vast datasets from traditional and alternative sources, such as market feeds, economic indicators, and unstructured text data. You will design algorithms to forecast market trends, optimize investment strategies, and mitigate risks in real-time, ensuring alignment with JPMorgan's rigorous standards for accuracy and compliance. Responsibilities include data preprocessing, feature engineering, model training, and validation, with an emphasis on scalable solutions that integrate seamlessly into our proprietary investment platforms. This position offers exposure to high-impact projects that directly influence billions in assets under management. The ideal candidate thrives in a fast-paced, innovative setting and is passionate about applying data science to solve real-world financial challenges. At JPMorgan Chase, you will have access to world-class resources, mentorship from industry leaders, and opportunities for career growth in one of the most prestigious firms in finance. Join us to shape the future of asset management through AI and make a meaningful impact on our clients' success.

Key Responsibilities

• Develop and deploy machine learning models to enhance predictive capabilities in asset management investment platforms
• Analyze large-scale financial datasets to identify patterns, trends, and insights for investment decision-making
• Collaborate with investment teams to integrate AI-driven analytics into portfolio management strategies
• Build and maintain data pipelines for real-time processing of market data and alternative data sources
• Conduct A/B testing and model validation to ensure accuracy and robustness of predictive models
• Leverage natural language processing (NLP) techniques to analyze unstructured data like news and reports for sentiment analysis
• Optimize algorithms for performance in high-frequency trading or risk assessment scenarios
• Present findings and recommendations to senior stakeholders using visualizations and reports
• Stay abreast of emerging AI/ML technologies and apply them to solve complex financial challenges
• Ensure compliance with data privacy and ethical AI standards in all model deployments

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; Master's or PhD preferred
• 2-5 years of professional experience in data science, machine learning, or AI roles within financial services or a related industry
• Proficiency in Python, R, or similar programming languages for data analysis and model development
• Strong understanding of machine learning algorithms, statistical modeling, and predictive analytics
• Experience with data manipulation, cleaning, and visualization using tools like Pandas, NumPy, and Tableau
• Knowledge of financial markets, asset management principles, or investment strategies
• Ability to work with large datasets and cloud platforms such as AWS, Azure, or Google Cloud

Preferred Qualifications

• Advanced degree in a quantitative discipline with a focus on AI/ML
• Experience in developing AI/ML models for investment platforms or financial forecasting
• Familiarity with regulatory requirements in asset management (e.g., SEC, FINRA)
• Prior internship or role at a major financial institution
• Certifications in machine learning (e.g., Google Professional Machine Learning Engineer) or data science

Required Skills

• Machine Learning (supervised/unsupervised learning, deep learning)
• Python programming (including libraries like Scikit-learn, TensorFlow, PyTorch)
• Data Analysis and Statistical Modeling
• SQL for database querying and management
• Big Data Technologies (Hadoop, Spark)
• Financial Data Handling (time series analysis, risk modeling)
• Cloud Computing (AWS, GCP, Azure)
• Data Visualization (Tableau, Matplotlib, Seaborn)
• Problem-Solving and Analytical Thinking
• Communication and Stakeholder Collaboration
• Version Control (Git)
• NLP and Text Analytics
• Model Deployment and MLOps
• Attention to Detail and Ethical Data Practices
• Adaptability to Fast-Paced Financial Environments

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 programs and tuition reimbursement for advanced certifications
• Employee stock purchase plan and access to financial wellness resources
• On-site fitness centers, wellness programs, and mental health support
• Global mobility opportunities and networking events within JP Morgan Chase

JP Morgan Chase is an equal opportunity employer.