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Quantitative Analyst- Applications Developer

JPMorgan Chase

Quantitative Analyst- Applications Developer

JPMorgan Chase

Columbus, OH, United States, US

·

On-site

·

Full-time

·

2w ago

Embark on a rewarding and challenging career as an AI & Analytics Solutions Developer with our dynamic team- the Data Analytics & Reporting Team (DART) where we specialize in delivering analytic solutions that drive operational efficiency and generate actionable insights. By developing robust web platforms, custom applications, and dynamic reports, we empower our businesses to make informed decisions and optimize performance. Leveraging advanced technology and Big Data tools, DART transforms complex data into clear, impactful intelligence—enabling teams to identify trends, uncover opportunities, and streamline processes for greater customer satisfaction, employee engagement, and profitability.

As an AI & Analytics Solutions Developer in Data Analytics and Reporting, you will join our team of Tableau and data developers where you will split time between supporting the team—elevating our reporting and analytics capabilities—and delivering individual solutions that unlock new ways to provide data and insights to our customers. You will be passionate about leveraging AI, advanced analytics, and modern application development to push the boundaries of our existing technology stack.

Job responsibilities

  • Mentor and assist Tableau/data developers in integrating advanced analytics, AI, and custom visualizations into reporting solutions.

  • Enable the team to leverage Python, AI/ML, and automation within Tableau, Alteryx, AWS, and Databricks.

  • Research and introduce new technologies, frameworks, and best practices to elevate reporting and analytics delivery.

  • Develop reusable components, templates, or scripts that enhance team productivity and solution quality.

  • Design and build innovative applications, web solutions, or AI-powered tools that deliver data in new, impactful ways.

  • Develop and deploy custom LLM models, generative AI solutions, or automation tools to improve data delivery and user experience.

  • Collaborate with stakeholders to understand business needs and translate them into technical solutions and

  • Ensure solutions are scalable, secure, and aligned with best practices in cloud environments (AWS).

Required qualifications, capabilities, and skills

  • Advanced proficiency in Tableau, Python, and data engineering tools (Alteryx, AWS, Databricks).

  • Experience integrating AI/ML models and advanced analytics into reporting platforms and experience with cloud environments and DevOps practices

  • Strong application/web development skills (e.g., Flask, Django, Streamlit, React, or similar) and familiarity with LLMs, generative AI, and automation tools (Co-Pilot, VSCode, LLM Suite).

  • Ability to mentor and upskill team members in new technologies and approaches and excellent problem-solving, communication, and collaboration skills.

  • Bachelor’s degree in computer science, Data Science, Engineering, or related field (or equivalent experience).

  • Curiosity, creativity, and imagination with a passion for data analysis, continuous learning, and professional development.

  • Enthusiasm for building visually compelling, user-friendly applications,

Preferred qualifications, capabilities, and skills

  • Strong understanding of data visualization principles and experience building interactive dashboards.

  • Experience with web hosting and deploying data-driven applications.

  • Prior work in financial services or regulated environments.

  • Knowledge of data visualization best practices and advanced Tableau features.

  • Experience with API development and integration.

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

Recommend to a Friend

Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study