Quant Analytics Associate - Time Series Forecasting Strategist - Workforce Planning
JPMorgan Chase · Posted Oct 13
Global banking, investment, credit card, mortgage, and asset management services
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About the role
The Workforce Planning (WFP) Data Science organization, part of the Consumer and Community (CCB) Operations division, delivers quantitatively driven solutions supporting demand forecasting, capacity planning, resource scheduling, and business analysis. This role focuses on forecasting contact center demand at daily and monthly intervals out to several years using time-series forecasting, inferential statistics, and data analysis. The associate will enhance forecasting accuracy and automation frameworks, mostly in Python, while consulting with stakeholders so the contact center network is optimally staffed and budgets are appropriately planned.
What you will do
- Identify opportunities to enhance existing call volume and productivity forecasting process.
- Monitor, Evaluate, and Improve Forecast Accuracy: Regularly assess the accuracy of forecasts by comparing them with actual outcomes, implement improvements based on findings, and use common sense approaches to explain changes and reasons for error.
- Possess strong interpersonal skills for partnering with various levels of the organization and influencing results.
- Provide analytical leadership to cross-functional team structure that prepares detailed integrated forecasts across multiple lines of business, and segments.
- Take complex results and communicating them in an easily understood way, focusing on how specific results fit into the bigger picture.
- Explore opportunities for creating frameworks for automation using Python.
- Stay Informed on Industry Trends: Keep abreast of industry trends, emerging technologies, and best practices in forecasting to ensure the organization remains competitive and innovative in its approach.
Skills used in this role
What the employer is looking for
- Applied knowledge of 3+ years’ experience in business planning and processes: significant forecasting experience, and strong modeling background required. Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data.
- Educational Background: MS/PHD Degree in quantitative discipline such as Statistics, Economics, Applied Math, Computer Science, Data Science or Engineering
- Hands on experience delivering descriptive statistics, inference, and visualizations to communicate with partners and stakeholders.
- Quantitative Mindset: Strong operational analytic/strategy mindset to identify opportunities and solve them through data and business insights using advanced mathematical approaches. Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas.
- Data Analytics and Software Proficiency: Experience leveraging analytical and statistical tools such as time series, regression, and other forecasting techniques using Python, R, or SAS.
- Communication skills: Superior written and oral presentation / communication skills – the ability to convey complex information simply and clearly to senior leadership. Demonstrated understanding of business value drivers and aligning teams to achieve business objectives.
- Hands-on experience and theoretical understanding of time-series forecasting & advanced statistics like Moving Average, Exponential Smoothing, Auto-Regression and Regression.
Preferred qualifications
- Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
- Strong applied technical skills in Python are preferred, with a willingness to transition from SAS or R if necessary.
- Experience with Spark, Trifacta, HiveQL, Alteryx, and SAS
- Experience in conducting both exploratory and explanatory analyses, with the ability to deliver clear and effective presentations to stakeholders.
- Advanced knowledge of Call Center Operations, Contact Center Metrics, and Workforce Planning practices.
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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