JPMorgan Chase Bank, N.A. | Hiring | D&A – CCB Capacity Planning & Analytics – Data Scientist – Associate | Mumbai | BigDataKB.com | 2022-09-28

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Job Location: Mumbai

Requisition Title: Data Scientist Associate – CCB Capacity Planning & Analytics

Job Title: Data Scientist Associate

Job Grade: 601

Job Code: DADS05

Location: Mumbai

Manager: Mukesh Patil

Team: Capacity Planning & Analytics

Job Description

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

Projects engaged by the CP&A 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 Demand/Supply/Capacity Optimization team is supported by the next-gen data science solutions that move us closer to real-time inference, decision making, and optimizing:

  • Demand Forecasting – Teller, banker, call center, back office, etc. transaction forecasting
  • Supply Forecasting – Staffing, service levels, and stress forecasting and outlooks
  • Schedule Optimization – Predictive scheduling and optimization
  • Operations Research – Branch, call center, back-office simulation networks, digitization, and what-if scenario 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

Responsibilities

The Data Scientist Associate 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 CP&A objectives, to ensure clients, partners, stakeholders have the best and most predictive/prescriptive data available for decision making. The Data Scientist Associate 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 with 6+ or Master’s+ with 4+ years of experience with different micro & macro-economic or operations research characteristics as a Data Scientist 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

  • Ability to adapt/modify existing or build new statistics models, machine learning models, and/or operations research simulations and models
  • Proficiency in operations research related tools / modules
  • Familiarity with utility-theory, graph theory based discrete choice-modeling
  • Develop and monitor KPIs, metrics, SLAs that attain customer strategies through the use of statistical models, heuristics and scalable algorithms
  • Advanced expertise with pricing elasticity, cost structuring, benefits/loss propositions, and other ad-hoc strategies such as remediation plans regarding pricing policies, risks, controls

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

Preferred Skills

  • Implemented or extensive training in operations research tools and techniques
  • Sophisticated use of data analytics and visualization tools in reporting and influencing
  • Nice to have exposure in machine learning APIs and computational packages
  • Experience with Python, Tableau Server, HiveQL, Alteryx, and SAS OR
  • Understanding of Contact Center, Branches, Back-office, etc. would be a plus

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.

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