Data Scientist Associate Sr – Capacity Planning and Analysis Forecasting Job Vacancy in JPMorgan Chase Bank, N.A. Mumbai, Maharashtra – Updated today

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Full Details :
Company Name : JPMorgan Chase Bank, N.A.
Location : Mumbai, Maharashtra
Position :

Job Description : The Capacity Planning and Analysis team is part of the CCB Finance organization and is responsible for developing and managing the staffing plans to ensure the successful execution of CCB Operations business objectives and planning. The primary responsibilities for the team include demand forecasting, capacity planning, and analysis/support.
This role is focused on Demand Planning, Statistical forecasting, data analysis and actively participating in transforming the process from Excel and R to a more automated technology product using database and other newer technology offerings that will be rolled out through Agile.
The Forecasting Associate will be working on various CCB operations forecasting projects focused on enhancing customer voice channel demand analytics by utilizing advanced analytical techniques. The incumbent will apply operational analytics and strategy tools to enhance integrated planning process, identify enhancements to overall call volume forecasting process while supporting the development of analytical tools to provide business insights needed in ensuring that volumes are appropriately forecasted so that our contact center network is optimally staffed and our service goals are being met. We need someone who is extremely intellectually curious and has proven ability to manage large data sets and build advanced analytical solutions in an operations environment.
The ideal candidate will be an innovative thought leader with the technical ability to drive process improvement across systems and platforms. This position requires working collaboratively amongst other talented team members and across the broader organization. A big part of the role is to be able to ask open-ended questions, identify issues, explore new ideas, and choose appropriate techniques for solving a given problem.
Specific responsibilities:

Identify opportunities to enhance existing Monthly and Daily call volume forecasting process
Explore ways to improve driver-based monthly volume forecasting and use common sense approaches to explain changes and reasons for error
Provide analytical leadership to cross-functional team structure that prepares detailed integrated forecasts across multiple lines of business, and segments
Explore opportunities for creating frameworks for automation
Engage with team to build customizable dashboards, visualizations, data warehouses etc.
Analyze, interpret and translate metric performance across different lines of business products
Possess strong interpersonal skills for partnering with various levels of the organization and influencing results
Taking complex results and communicating them in an easily understood way, focusing on how specific results fit into the bigger picture
Persuading, informing and influencing others based on findings through both verbal and written communication.

Qualifications:

Applied knowledge of 3-5 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: Degree in quantitative discipline such as Statistics, Economics, Applied Math, Computer Science, Data Science, Engineering or Operations Research
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 Collection & Manipulation: Experience leveraging Teradata, SQL Server, or comparable data base systems to perform data analysis and manipulation on large datasets.
Data Analytics: Experience leveraging analytical and statistical tolls such as time series, and machine learning techniques
Analytical Software: Strong applied technical skills preferably in Python, or willingness to learn Python moving from SAS or R environment
Data Visualization: Experience leveraging Tableau or QlikView
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.
JPMorgan Chase & Co., 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. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

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