Quant Analytics Associate - Demand Forecasting

Job Description
Join the dynamic Workforce Planning organization, highlighting the chance to deliver quantitatively driven solutions and contribute to a team that supports various functions.
As a Quant Analytics Associate in the Workforce Planning team, you will be responsible for the medium (90 Day horizon) to long term (multi year monthly) volume demand and work rate planning across Consumer and Community (CCB) operations. The role is focused on statistical forecasting, data analysis and actively participating in transforming the process from Excel/R/Python to a more automated cloud product.
The role applies operational analytics and strategy tools to enhance the integrated planning process, identify enhancements to overall the forecasting process while supporting the development of analytical tools. The goal is to provide business insights needed in ensuring that forecasts are appropriately planned and in line with expectations so that our contact center network is optimally staffed, service goals are being met, and budgets are appropriately planned.
The Workforce Planning (WFP) organization it is a part of Consumer and Community (CCB) Operations division. The Workforce Planning (WFP) Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support).
Job responsibilities:

• Identify opportunities to enhance existing Monthly and Daily call volume and work rate forecasting process.
• Explore ways to improve driver-based monthly volume forecasting 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.
• Taking 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.
• Engage with team to build customizable dashboards, visualizations, data warehouses etc.

Required qualifications, capabilities, and skills:

• 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: Experience leveraging analytical and statistical tools such as time series, regression and other forecasting techniques using Python, R or SAS
• Analytical Software: Strong applied technical skills preferably in Python, or willingness to learn Python moving from SAS or R.
• 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.

Preferred qualifications, capabilities, and skills:

• Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
• Experience with Spark, Trifacta, HiveQL, Alteryx, and SAS
• Data Visualization: Experience leveraging Tableau or ClickView
• Advanced knowledge of Call Center Operations, Contact Center Metrics, and Workforce Planning practices.

This is a Hybrid position which will require the incumbent to commute/work on site 3 days a week and work from home 2 days a week.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.