Quant Analytics Senior Associate

Location: Wilmington, DE, United States

Job Family: Quant Analytics

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Quant Analytics Senior Associate role in Wilmington, DE, offers a dynamic platform to leverage your quantitative expertise in a high-impact environment. As a key member of our Quant Analytics team, you will blend advanced data analytics with robust project management to support critical functions such as risk modeling, portfolio optimization, and strategic decision-making. This position is ideal for professionals passionate about applying mathematical rigor to real-world financial challenges, contributing to the stability and growth of one of the world's leading financial institutions. In this fast-paced setting, you will work on initiatives that directly influence billions in assets, ensuring our clients receive cutting-edge insights backed by data-driven precision. Your day-to-day responsibilities will involve developing sophisticated quantitative models using tools like Python and machine learning algorithms to analyze vast datasets from trading, lending, and investment activities. You will lead projects from inception to execution, coordinating with diverse teams across risk, technology, and business units to deliver timely, actionable results. At JP Morgan Chase, we value innovation, so expect opportunities to pioneer new analytics approaches that enhance our competitive edge in areas like credit risk assessment and market forecasting. Compliance and accuracy are paramount, as your work will adhere to stringent regulatory frameworks, safeguarding the integrity of our operations. This role not only demands technical prowess but also the ability to communicate complex findings to non-technical stakeholders, fostering a collaborative culture that drives JP Morgan Chase's mission forward. With access to world-class resources and mentorship from industry leaders, you will grow your career while making a tangible difference in the financial services landscape. Join us in Wilmington, DE, and be part of a team that redefines quantitative excellence in banking.

Key Responsibilities

• Develop and implement quantitative models for risk assessment, pricing, and portfolio optimization using advanced statistical and machine learning techniques
• Analyze large-scale financial datasets to identify trends, anomalies, and insights that drive business decisions
• Lead end-to-end analytics projects, from data collection and cleaning to model validation and deployment
• Collaborate with cross-functional teams including traders, risk managers, and technology groups to deliver actionable analytics solutions
• Manage project timelines, resources, and deliverables in a dynamic, high-pressure environment
• Present analytical findings and recommendations to senior leadership through reports and visualizations
• Ensure compliance with internal policies and regulatory standards in all quantitative work
• Innovate new methodologies to enhance JP Morgan Chase's analytics capabilities in areas like credit risk and market analytics
• Mentor junior analysts and contribute to the development of best practices in quant analytics

Required Qualifications

• Bachelor's degree in quantitative field such as Mathematics, Statistics, Computer Science, or Finance; advanced degree (Master's or PhD) preferred
• 3-5 years of experience in quantitative analytics, data analysis, or related roles within the financial services industry
• Proficiency in statistical modeling, machine learning, and data visualization techniques
• Strong project management experience, including leading cross-functional teams and managing timelines in a fast-paced environment
• Demonstrated ability to handle large datasets and perform complex quantitative analysis
• Excellent communication skills with the ability to present findings to senior stakeholders
• U.S. work authorization and ability to work in Wilmington, DE

Preferred Qualifications

• Experience in risk management, portfolio analytics, or fraud detection within banking or financial services
• Familiarity with regulatory requirements such as Basel III, Dodd-Frank, or CCAR
• Prior work at a major financial institution like JP Morgan Chase
• Certification in data analytics (e.g., CFA, FRM, or Python/Data Science certifications)

Required Skills

• Quantitative modeling and statistical analysis
• Proficiency in Python, R, or SQL for data manipulation and analysis
• Machine learning frameworks such as TensorFlow or Scikit-learn
• Data visualization tools like Tableau or Power BI
• Financial modeling and risk analytics
• Project management methodologies (e.g., Agile, Waterfall)
• Strong problem-solving and analytical thinking
• Excellent written and verbal communication
• Team collaboration and leadership
• Attention to detail and accuracy in data handling
• Knowledge of financial markets and instruments
• Regulatory compliance awareness
• Time management in fast-paced settings
• Adaptability to evolving business needs
• Ethical decision-making in sensitive financial contexts

Benefits

• Competitive base salary and performance-based annual bonus
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company match
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through tuition reimbursement and internal training programs
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at JP Morgan Chase locations
• Flexible work arrangements and hybrid work options where applicable

JP Morgan Chase is an equal opportunity employer.