Quant Analytics Associate Sr - AI & Analytics Solutions Developer

JPMorgan Chase & Co.
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Business Process Modeling
Data Visualization
Database Applications
DevOps
Web Development
Django
Python
Machine Learning
Software Tools
Tableau
Web Hosting Services
Web Platforms
Application Enhancement Tool
Cloud Platform System
React
Flask
Large Language Models
Generative AI
Build Management
Information Technology
Data Analytics
Dart
Data Management
Tools for Reporting
Data Delivery
Api Design
Streamlit Framework
Alteryx
Databricks

Job description

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., * 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
  • Ensure solutions are scalable, secure, and aligned with best practices in cloud environments (AWS).
  • Mentor and upskill team members in new technologies and approaches and excellent problem-solving, communication, and collaboration skills.

Requirements

  • 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).
  • Curiosity, creativity, and imagination with a passion for data analysis, continuous learning, and professional development.
  • Demonstrated ability building visually compelling, user-friendly applications
  • Experience with web hosting and deploying data-driven applications.
  • Experience with API development and integration.

Preferred Qualifications, Capabilities, and Skills

  • Strong understanding of data visualization principles and experience building interactive dashboards. Knowledge of data visualization best practices and advanced Tableau features.
  • Prior work in financial services or regulated environments.
  • Advanced proficiency in Tableau, Python, and data engineering tools (Alteryx, AWS, Databricks).
  • Bachelor's degree in computer science, Data Science, Engineering, or related field (or equivalent experience).

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

As a Quant Analytics Associate Sr - AI & Analytics Solutions Developer within DART, 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., Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs., 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.

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