Workforce Planning - Time Series Forecasting Strategist -Quant Analytics Associate

Location: Wilmington, DE, United States

Job Family: Quant Analytics

About the Role

At JPMorgan Chase, we are at the forefront of financial services innovation, and our Workforce Planning team plays a critical role in ensuring operational efficiency across our global operations. As a Quant Analytics Associate in Time Series Forecasting, you will join a dynamic group focused on leveraging advanced analytics to forecast workforce demand at daily and monthly intervals. Based in Wilmington, DE, this role within the Quant Analytics category involves developing sophisticated models to predict staffing needs for high-volume areas like customer service centers and investment banking support, helping to minimize costs while maintaining service excellence in a competitive banking landscape. Your primary focus will be on building and refining time series models using tools like Python and R to analyze vast datasets from JPMorgan Chase's proprietary systems. You will collaborate with cross-functional teams, including HR, operations, and finance leaders, to translate complex data insights into actionable strategies that support business growth and regulatory compliance. This position demands a blend of technical expertise and business acumen to handle scenarios such as market volatility or seasonal demand spikes, ensuring our workforce is optimally aligned with client needs and firm objectives. We value innovation and precision in our quantitative approaches, and this role offers opportunities to contribute to high-impact projects that shape JPMorgan Chase's future. If you thrive in a collaborative environment and are passionate about using data to drive decisions in the financial services industry, join us to make a meaningful difference in one of the world's leading financial institutions.

Key Responsibilities

• Develop and implement advanced time series forecasting models to predict daily and monthly workforce demand for JPMorgan Chase's operations
• Analyze historical data from call centers, trading floors, and support functions to optimize staffing levels and reduce operational costs
• Collaborate with business leaders in Consumer & Community Banking and Corporate sectors to align forecasts with strategic goals
• Utilize statistical software to perform scenario analysis, including stress testing for economic downturns impacting workforce needs
• Monitor forecast accuracy and refine models using techniques like ensemble methods and anomaly detection
• Generate reports and dashboards for senior management to support decision-making in resource allocation
• Integrate machine learning algorithms to enhance predictive capabilities for volatile market conditions
• Ensure compliance with JPMorgan Chase's data governance and privacy standards in all forecasting activities
• Conduct ad-hoc analyses to support mergers, acquisitions, or expansion initiatives affecting workforce planning

Required Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field
• Minimum of 2 years of experience in time series forecasting, statistical modeling, or quantitative analytics within the financial services industry
• Proficiency in programming languages such as Python, R, or SQL for data analysis and model development
• Strong understanding of time series models including ARIMA, Prophet, and machine learning-based forecasting techniques
• Experience with large-scale datasets and data visualization tools like Tableau or Power BI
• Ability to work with cross-functional teams in a fast-paced banking environment
• U.S. work authorization without sponsorship

Preferred Qualifications

• Master's degree or PhD in a quantitative discipline
• Prior experience in workforce planning or demand forecasting for financial institutions
• Familiarity with JPMorgan Chase's internal data platforms and risk management frameworks
• Certifications in data science (e.g., AWS Certified Data Analytics or Google Data Analytics)
• Knowledge of regulatory requirements in financial forecasting, such as those from the Federal Reserve

Required Skills

• Time series analysis and forecasting
• Statistical modeling (ARIMA, SARIMA, Exponential Smoothing)
• Machine learning for predictive analytics
• Python or R programming
• SQL for data querying and manipulation
• Data visualization (Tableau, Power BI)
• Excel advanced functions and VBA
• Problem-solving and analytical thinking
• Communication and stakeholder management
• Attention to detail in data handling
• Adaptability to dynamic financial environments
• Team collaboration in cross-functional settings
• Knowledge of financial metrics and KPIs
• Risk assessment and scenario planning
• Project management basics

Benefits

• Comprehensive health, dental, and vision insurance plans with employer contributions
• 401(k) retirement savings plan with up to 5% company match and immediate vesting
• Generous paid time off, including vacation, sick days, and parental leave
• Tuition reimbursement for professional development and advanced degrees
• Employee stock purchase plan with discounted JPMorgan Chase shares
• Wellness programs including gym memberships, mental health support, and fitness challenges
• Flexible work arrangements, including hybrid options in Wilmington, DE
• Access to on-site amenities and employee assistance programs

JP Morgan Chase is an equal opportunity employer.