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QWO Quant Data Scientist I - RTB at JPMorgan Chase Bank, N.A.

Internal Description

The Business Planning and Analysis (BP&A) team is a part of Consumer and Community Banking Finance and Operations. The Quantitative Workforce Optimization (QWO) team is tasked with delivering quantitatively driven solutions to support the core BP&A functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support). The BP&A team supports Chase's call centers, back office, and ~5,200 retail branches.

Projects engaged by the QWO 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 analyze the topic in question, develop solution proposals and review their results and next steps with management for prioritization and delivery.

The QWO team has four core functions:

Data Infrastructure & Controls

Run-the-Bank Quant

Change-the-Bank Quant


The Run-the-Bank Quant team is tasked with ensuring the day-to-day analytics and reporting activities are delivered quickly and to stakeholder satisfaction. Particular focus is paid to ad-hoc and executive questions surrounding:

Scenario analyses in support of CAO, marketing, National Sales, site strategy, call center, etc. troubleshooting

Exploratory data analysis for root-cause explanations to answer the pre/post "why" questions (e.g. why are call times 15% higher than our YoY counts)

Non-operational but informational reporting / visualization and executive presentations


Educational Background

Bachelor's Degree with 6+ years or Master's+ with 4+ years of experience operating as an analytics professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, Computer Science, Information Science, and related disciplines.

Technical Skills

Hands on experience delivering descriptive statistics, inference, and visualizations to communicate with partners and stakeholders.

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

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

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

Experience with Python, Spark, Teradata/ Oracle, HiveQL, Alteryx, and SAS

Experience with Tableau or Qlik

Demonstrated proficiency with Microsoft Office (Excel, PowerPoint).

Preferred Skills

Advanced expertise with Time Series and Operations Research techniques.

Proficiency in critical thinking and problem solving.

Strong verbal and written communication skills.

Experience in large scale data handling.

Ability to guide and conduct research and drive valuable insights from data.

Working experience or exposure of Agile, Understanding of Scrum model

Experience in Cognos / Business Object


Partnering with onshore leaders to drive projects assigned to the team

Contribute to data mining architectures, modeling standards, reporting, and data analysis methodologies.

Exhibit thought leadership and demonstrate analytical thinking to drive insights from data

Perform in depth analysis to resolve a business problem by employing the appropriate tools available in the enterprise.

Identify new opportunities to bring new process improvements.

Communicate data findings through engaging stories that are easy to understand

Quickly assesses the big picture in complex situations and identify what is critical

Routinely make decisions for best course of action and to drive business solutions.

Support internal and external processes and workflows, suggest improvements based on data analysis and provide insights into the enterprise operations.

Work with business domain experts to identify data relevant for analysis

Provide and apply quality assurance best practices for data mining/analysis services.

Develop new analytical methods and/or tools as required.

Adhere to change control and testing processes for modifications to analytical models.

Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems.

Extract reports/ data, analyze and provide recommendations for the project undertaken

Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements.

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