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Senior Data Mining and Statistical Analysis Role


 
  
focus on assisting customers in improving their business performance and client profitability through engagement based projects consisting of complex data mining and analysis, statistical and predictive modeling, and forecasting.


JPMorgan Chase Company: JPMorgan Chase
Location: Columbus
Web: www.jpmchase.com

_Contact_:
Julie Banik, julie.a.banik@jpmchase.com

Performance Consulting is a highly visible internal consulting team that supports JPMorgan Chase's Operations organization and other strategic lines of business.

The Business Modeling & Analysis Group (BMA), within Performance Consulting, primarily focuses on assisting customers in improving their business performance and client profitability through engagement based projects consisting of complex data mining and analysis, statistical and predictive modeling, and forecasting.

The Incumbent will:

  • Lead the Analytics team within BMA, attracting and developing superior analytical talent.
  • Perform data analysis by mining information from various data sources and construction of that data into meaningful, actionable information.
  • Create statistical and predictive models to reduce risk and enhance the effectiveness of existing business rules.
  • Develop reports and structure presentations to communicate key messages to senior management.
  • Identify areas of opportunity through rigorous analysis of key performance metrics/indicators for each unit of Operations.
Responsibilities include:
1. Leading a team of analytical resources in developing data-driven solutions to business problems.
2. Analyzing large pools of data to discover trends, patterns, correlations that will assist operations managers in making better business decisions.
3. Presenting findings and recommendations to members of the senior leadership team to enable them to make proactive business decisions and/or react quickly to changes in the business environment.
4. Providing input regarding the strategic direction of analytics within the organization; managing the analytical team to meet project timelines and deliverables; and doing hands-on analytical work.
5. Developing predictive and forecasting models using historical data and externalities to improve operations.
6. Engaging with metric owners from each business unit to identify key causes behind data trends/irregularities.
7. Identifying process improvements to streamline data collection and report creation.
8. Building presentations to summarize and present key messages to senior management sponsors.

Job requirements:

  • Master's degree (Ph.D. preferred) in mathematics, statistics, computer science or related technical discipline
  • Prefer 5 years experience leading an analytical team
  • Minimum 5 years experience using data mining/analytical methods to improve business performance
  • Detailed technical knowledge of and hands-on experience with various statistical, forecasting and predictive modeling methods (Monte Carlo, ANOVA, regression, time series analysis, neural networks, decision trees).
  • Superior communication and leadership skills. Ability to independently interact with all levels of management and to present technical solutions in a comprehensible way
  • Hands-on experience with data gathering/management/manipulation
  • Strong SQL and SAS programming skills (Base/Advanced SAS Programming Certification preferred).
  • Extensive knowledge of database design and relational database principles
  • Experience supporting key management decisions with clear and concise data analysis
  • Strong knowledge of the Microsoft Office suite: Excel, Access, Word, Power Point, Visio
  • Business intelligence software including one or more of the following: BRIO Intelligence, MS SQL Server and/or Business Objects
  • Strong listening, presentation, communication and influencing skills
  • Demonstrated use of SAS Enterprise Miner preferred
_Contact_:
Julie Banik, julie.a.banik@jpmchase.com

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