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QWO Business Analyst II at JPMorgan Chase Bank, N.A. (Mumbai, India)

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 Operations
Change the Bank analyst are responsible for developing advanced analytics using a variety of statistical modeling and machine learning methods, algorithms and techniques, e.g., predictive modeling, forecasting, statistical analysis, optimization, and simulation modeling. This position provides an exceptional opportunity to make a difference at a premier financial institution. In this role, you will have an excellent career path and numerous opportunities for both personal and professional development in an intellectually stimulating environment.


Leverage a wide range of data analysis, machine learning and statistical modeling algorithms and methods to solve business problems in the area of Marketing analytics Evaluate the current operational environment and identify opportunities to leverage advanced analytics. Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems. Generate deep insights through the analysis of data and understanding of operational processes and turn them into actionable recommendations. Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance. Become a subject matter expert and trusted advisor in the analytics discipline. Demonstrate excellent organization skills throughout the development of analytical solutions (data analysis documentation, hypothesis documentation, code management, etc.). Build and deploy prototype solutions to demonstrate ideas and prove concepts. Effectively communicate with project team members and sponsors throughout the project lifecycle (status updates, gaps/risks, roadblocks, testing outcomes, etc.). Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues. Work independently and collaboratively (as needed) within the team to achieve the desired outcomes of an analytical project. Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group. Must be available to support models in production environment

Qualifications & Requirements:
Education M.S. or Ph.D. in Statistics, Engineering, Computer Science, Mathematics, Economics or related quantitative field
Experience and Technical Skills 7+ years' experience developing predictive models, forecasting models and/or machine learning algorithms in a large-scale, corporate environment with 4+ years in financial services. Hands-on experience with a wide variety of predictive modeling, machine learning, data mining, time
series forecasting and optimization algorithms 4+ years' experience working with a variety of database environments (SAS, Oracle, Teradata, etc.) Must have with 6+ years of experience with demonstrated ability to code complex programs in Python, SAS and SQL Must have demonstrated experience working with production-type applications and full knowledge of the code development lifecycle (Dev, Test, Prod) Must have demonstrated experience in large scale data environments and ability to work efficiently with very large datasets Proven ability to strategically manage complex, highly-visible analytical projects from concept through implementation Proven experience leveraging job automation applications and environments (e.g., CRON, Control-M) Demonstrated ability to effectively manage all facets of the analytical project lifecycle (data exploration, hypothesis testing, code development, testing/validation, model deployment, etc.
Superior Analytical Skills Outstanding critical thinking and problem solving skills Has an "engineering mindset" Self-starter mentality with the ability to delegate/collaborate with others Ability to translate ambiguous business problems into a conceptual analytical and technical architecture Passion for continuous learning and professional development Deep curiosity, creativity and imagination
Strong business acumen Ability to influence and become a trusted advisor Ability to partner closely with team members and business sponsors to clearly define the requirements of proposed solutions Ability to translate technical details, observations and results into business language Proven effective communication and presentation skills Ability to effectively navigate an occasionally ambiguous, semi-structured work environment Ability to thrive in both independent and collaborative work environmentsJPMorgan 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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