JP Morgan Chase & Co.

Data Scientist Senior Associate

JP Morgan Chase & Co.$90K — $120K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 1-3 years of experience applying data science to real-world business problems.
  • Strong programming skills in Python and SQL.
  • Solid foundation in statistics and predictive modeling techniques.
  • Experience in translating ambiguous problems into analytical approaches.
  • Ability to communicate analytical results clearly to various stakeholders.

Responsibilities

  • Develop and maintain models for branch staffing optimization.
  • Design and evaluate staffing strategies to impact sales performance and customer outcomes.
  • Build scenario-planning tools for operational decision-making.
  • Establish KPI frameworks to monitor the impact of staffing interventions.
  • Lead assessments and experiments to measure staffing effectiveness and provide actionable recommendations.
  • Partner with data teams to curate datasets and create reusable analytical features.
  • Collaborate with cross-functional teams to align requirements and insights.

Benefits

  • Opportunities for professional growth and mobility across analytics and data science areas.
  • Access to cutting-edge data and analytics infrastructure through strong partnerships with Technology.
  • Participation in a team that values innovation in customer service and satisfaction.
Full Job Description
Job Description

As a Data Scientist Associate in the Consumer Bank Sales Science team, you will help develop and scale data-driven approaches that connect customer demand, branch capacity, and sales outcomes to inform staffing decisions across our branch network. You'll work on analytically rich problems-forecasting demand, modeling capacity, and evaluating tradeoffs-to help teams make decisions that improve customer experience and business performance. You'll partner closely with colleagues across branch operations, workforce management, finance, product, and analytics to translate real-world constraints into solutions that can be put into practice. You'll communicate insights clearly to both technical and non-technical stakeholders and help build repeatable tools and measurement frameworks. You'll have opportunities to expand your technical depth and broaden your business impact through mobility across adjacent analytics and data science problem spaces within the firm.

Key responsibilities
  • Develop and maintain branch staffing models to optimize banker allocation, leveraging capacity modeling, demand forecasting, and constraint-based optimization techniques.
  • Design and evaluate staffing strategies (coverage, schedules, skill mix) and quantify expected impact on sales performance, customer outcomes, and productivity.
  • Build scenario-planning tools to support "what-if" decisions on branch footprint, traffic changes, operating hours, and banker role design.
  • Establish KPI frameworks and reporting to monitor staffing interventions (e.g., conversion, appointment utilization, wait-time proxies, productivity, customer experience).
  • Lead analytical assessments and experiments/pilots to measure the effectiveness of staffing changes and translate results into clear recommendations and actions.
  • Partner with data and platform teams to source, curate, and document datasets; create reusable feature sets/pipelines to enable repeatable analytics and model deployment.
  • Collaborate with cross-functional stakeholders (branch operations, workforce management, sales leaders, product partners) to align requirements and communicate insights to technical and non-technical


Required qualifications
  • 1-3 years of experience (or strong internship/co-op experience) applying data science to business problems.
  • Strong programming skills in Python and SQL; ability to write clean, testable code.
  • Solid foundation in statistics and predictive modeling (regression/classification, time series basics, model evaluation).
  • Experience translating ambiguous problems into analytical approaches and communicating results clearly.


Preferred qualifications
  • Experience with optimization (linear/integer programming, heuristics) and/or forecasting (hierarchical or time-series models).
  • Familiarity with operational analytics concepts (capacity, queues, service levels, workforce planning).
  • Experience with model deployment patterns (batch scoring, APIs), MLOps fundamentals, and version control (Git).
  • Experience with large-scale data environments (e.g., Spark) and dashboarding/visual analytics tools.


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.

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

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Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ

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