JPMorgan Chase Strategic Business Analysis Manager in Columbus, Ohio

Strategic Business Analysis Manager

CCB Business Planning & Analytics – Data & Analytics

Vice President

Job Area:

The Business Planning and Analysis team is a part of Consumer and Community Banking Finance and is responsible for developing and managing staffing plans to ensure CCB Operation’s business objectives are met. The primary responsibilities of this team include volume / demand forecasting, capacity planning, resource scheduling and business analysis/support. This is a key role within a new team that has been developed to lead resource planning for Chase’s 5,200 retail branches.

The BP&A Data & Analytics (DNA) team has four core functions: Analytics, Data Services, Infrastructure, and Operations. The successful candidate will apply analytics techniques from traditional statistics to data engineering and some operations research and machine learning. Particular focus will be paid to time series analysis, queuing theory, stochastic simulation, and neural networks.

Projects engaged by the DNA team can be complex, data intensive, and of a high level of difficulty, each having significant impact on the business. Typically these problems will be of an unstructured nature, whereby the employee will be expected to quickly assess and comprehend the situation then develop a practical problem solving strategy. You will be expected to conduct or supervise preliminary analysis on the topic in question, develop presentations and review their results and next steps with management. In addition to top-tier analytical capabilities, the desired candidate should have strong written and oral communication skills. Ability to present to and interpret results for other group members will be critical. Problem-structuring and day-to-day coaching/problem solving will be provided by the BP&A Leadership team along with other senior Consumer Banking executives. You may also be responsible for directly managing and supervising less experienced staff that are assisting directly on his/her projects, or perhaps assisting others.

Preferred Educational Requirement:

Master’s Degree (MS/MA/MIS/MBA) with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an analytics professional (e.g. data scientist, statistician, and related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Computer Science, Information Science, and related disciplines. Will consider non-traditional education / experience.

Required Skills:

  • Experience with big-data technologies such as Hadoop, Spark, SparkML, etc.

  • Familiarity with basic data table operations (SQL, Hive, etc.)

  • Practical expertise in contemporary analytical/data science methods: predictive modeling (CHAID/CART, generalized linear models, nonlinear models, machine learning methods); segmentation (cluster analysis, latent class analysis); and construction of designed experiments.

  • Excellent analytical skills with a track record in defining customer strategies through the use of data and analytics

  • Developing and communicating business recommendations and insights in easy-to-understand-way leveraging data to tell a story

  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence.

  • History of making an impact, developing and executing on strategies and delivering superior results in both the short and long term

  • Develop and maintain working relationship with other businesses, functional groups and vendor organizations. Ability to work effectively and gain credibility and respect of others. Lead and persuade others while positively influencing the outcome of team efforts.

Preferred Skills:

  • Advanced expertise with Time Series Analysis and Operations Research techniques.

  • NLP / NLG, Neural Nets, or other ML/AI skills

  • Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE).

  • Experience with machine learning APIs and computational packages (Tensorflow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, and statsmodels).

  • Expertise with Cloud-based technologies

Professional Background:

  • Sole-contributors with strong analytic experience in Chase or other financial services companies with education and experience equivalent to 5+ years.

  • Preference to existing Chase employees with expert experience in CCB Analytics.

JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.