Job Description

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Requisition Title: Data Scientist Associates - CCB Workforce Planning

Job Title: Data Scientist Associates

Job Grade: 601

Location: Mumbai / Bengaluru

Manager: Mukesh Patil

Team: Workforce Planning



Workforce Planning (WFP) organization is a part of Consumer and Community Banking Operations division. Workforce Planning Data Science team is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support). The WFP team supports Chase's call centers, back office, and ~5,200 retail branches.

Projects engaged by the Data Science 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, timing, and delivery.

The data science optimization team is supported by the next-gen data science solutions that move us closer to real-time inference, decision making, and optimizing:

• Schedule Optimization - Predictive scheduling and optimization, shift optimization
• Operations Research - Branch, call center, back-office networks simulation, Supply Chain, Inventory Management, Digitization and What-if scenarios testing
• Yield/Revenue Management - Rationalize cost to serve vs service levels, penalty cost modeling meeting contractual agreements at varying degrees of capacity, head count, and schedule impacts
• Supply Forecasting - Staffing, service levels, and stress forecasting and outlooks

Responsibilities

The (Optimization) will have the economics underpinning with a desire to make a large business impact for lines of business/functions with their thought leadership delivering strategic projects using exciting big data environments, econometrics, statistics, and technology solutions. You will have outstanding attention to details, comfortable under ambiguity and affinity for problem solving, evaluating trends and anticipating requirements directly supporting the broader CCB WFP objectives, to ensure clients, partners, stakeholders have the best and most predictive/prescriptive data available for decision making. The Data Scientist Associates shall work together at the intersection of AI, ML, Econometrics, applied scientific computing to ensure Chase maintains the best quantitative models and optimization.

Qualifications

Educational Background

Bachelor's Degree or Master's+ with 4+ years of experience with different micro & macro-economic characteristics as an Optimization professional (e.g., OR analyst, statistician, industrial engineer, or related professions) in a quantitative field: Statistics, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, Decision Sciences, and related disciplines.

Technical Skills

• Advanced expertise with Queuing theory, linear and non-linear programming, integer programing, network analysis, replacement problems, sequencing, dynamic problem, pricing elasticity, cost structuring, benefits/loss propositions, and other ad-hoc strategies such as remediation plans regarding pricing policies, risks, controls
• Familiarity with utility-theory, graph theory based discrete choice-modeling,
• Ability to adapt/modify existing or build new statistics models, machine learning models, and/or operations research simulations and models.
• Develop and monitor KPIs, metrics, SLAs that attain customer strategies using statistical models, heuristics, and scalable algorithms
• Programming languages: Python, R

Ideal Skills

• Understand business problems to turn cost to serve profiles into useful analyses and convey recommendations in pricing tactics, margin models engaging with technology counterparts to maximize value even falling short to meet capacity target consistent with defined contract agreements, scheduling gaps, inadequate staff levels.
• Communicate complicated concepts and relevant scientific insights from data clearly to business leaders and strong record of executing pricing processes and applied use cases to optimize overall margins, staff allocations to sustain headcount planning & performance
• Ability to analyze live customer demand and react to last-minute changes such as inclement weather or operational capacity constraints or any potential staff or scheduling impacts

Other Good to have Skills

• Implemented or extensive training in machine learning methods (boosted regression trees, random forests, neural networks)
• Sophisticated use of data analytics and visualization tools in reporting and influencing
• Nice to have exposure in machine learning APIs and computational packages (Tensorflow, PyTorch, Rust, Caffe2, Gluon, Keras, similar framework).
• Experience with Tableau Server, Alteryx, and SAS is good to have but not mandatory

About Us:

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.

About the Team:

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.