JP Morgan Chase & Co.

Machine Learning Intelligent Operations Team - Quant Analytics Senior Associate

JP Morgan Chase & Co. • $110K — $130K *
Columbus, OH 43230In-Person
Finance & Insurance
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in Economics, Data Analytics, Statistics, or a STEM-related field with relevant work experience in Analytics.
  • Proficient in SQL programming with hands-on experience.
  • Skilled in Excel PivotTables, PowerPoint, and data visualization tools including Tableau and Python Jupyter Notebook.
  • Knowledgeable in multivariate statistics and regression analysis techniques.
  • Experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake.
  • Strong understanding of Machine Learning techniques including LightGBM, XGBoost, and causal inference methods.
  • Familiar with Natural Language Processing and Large Language Models.

Responsibilities

  • Conduct end-to-end data analysis to optimize LLM and GenAI models.
  • Transform and automate reporting on complex datasets to enhance operational efficiency.
  • Collaborate with cross-functional teams to validate hypotheses and address production issues.
  • Present actionable insights to various stakeholders including executives.
  • Proactively troubleshoot issues during data collection and model development phases.
  • Develop and document SQL and Python codebases and data dictionaries.
  • Participate in agile or scrum teams providing analytics support for product development.

Benefits

  • Opportunity to work with cutting-edge analytics and data technology.
  • Collaboration with cross-functional teams in a highly reputable financial institution.
  • Exposure to diverse financial services operations and analytics.
  • Strong potential for professional growth within a leading banking organization.
  • Engagement in agile teams promoting innovation in analytics solutions.
Full Job Description
Job Description

As a Quant Analytics Senior Associate, within the MLIO Analytics team, you will play a key role in optimizing Conversational Insights and Insights for Coaching products, span the entire problem-solving lifecycle, including: identifying gaps through thorough and inquisitive analyses, conducting root cause analyses using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels.

Job Responsibilities:

  • Conduct end-to-end data analysis to enhance LLM and GenAI model performance across both AWS and on-premises environments.
  • Transform complex datasets, automate reporting, and perform business driver analysis to improve operational processes and applications. Utilize advanced methods to identify customer and specialist friction points across multiple interaction channels.
  • Collaborate with cross-functional teams to integrate business assumptions with production data, validate hypotheses, and identify production flaws.
  • Create and present clear, actionable insights to peers, executive leadership, and business partners.
  • Proactively investigate and resolve issues in data collection, model development, and production phases.
  • Develop SQL and Python codebases, and document data dictionaries and model outputs in a clear and concise manner.
  • Serve as a member of agile, digital, or scrum teams, providing data and analytics support for new product development.


Required qualifications, capabilities, and skills:
  • Bachelor's degree in Economics, Data Analytics, Statistics, or a STEM related field; 6 years of work experience in Analytics or Master's degree in Economics, Data Analytics, Statistics, or a STEM related field; 2 year of work experience in Analytics
  • Solid programming skills in SQL.
  • Hands-on experience with Excel PivotTables, PowerPoint presentations, and data wrangling and visualization tools including Tableau, Alteryx and Python Jupyter Notebook.
  • Trained in multivariate statistics, regression analysis, Python, SQL and visualization tool including Tableau.
  • Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake.
  • Strong understanding of multi-linear regression, logistic regression, clustering, classification techniques including LightGBM and XGBoost, controlled experiments, and causal inference methods (DD, PM, NN).
  • Experience with Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLM).


Preferred qualifications, capabilities, and skills:
  • Extensive experience in consumer banking units such as operations, servicing, collections, or marketing.
  • Proficient in big data ETL processes for both structured and unstructured databases.
  • Good understanding of IT processes and databases, with the ability to work directly with data owners and custodians, contributing to the development of analytics data hubs.


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.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

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
Finance & Insurance
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ
CCF
* Ladders Estimates

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