Quant Analytics Senior Associate

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 110,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Quant Analytics Senior Associate to lead end-to-end forecasting for the Card Acquisitions Forecasting & Offer Analytics team.

You will drive forecasting for the entire cards portfolio, automate manual processes, and partner with product and finance leaders to implement best practices. The role emphasizes strong communication with senior leaders, cross-functional collaboration, and ownership of controls/compliance for the forecasting module, including routine

Qualifications

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, CS, Finance or Engineering.
• 3+ years of experience solving complex forecasting and analytics problems.
• Proficiency in analytical languages (Python, R, SAS) and databases (Snowflake, BigQuery).
• Hands-on experience with Alteryx and AI automation tools; ability to design automation frameworks.

Responsibilities

• Forecasting and optimization across the card portfolio and new accounts forecasting.
• Design/code automated forecasting capabilities and improve data processes.
• Prepare ad-hoc analytics/reports for senior management and external reviews.
• Lead adoption of AI/ML techniques and Gen AI solutions in forecasting.
• Communicate effectively with senior leaders and cross-functional partners.

Skills

Forecasting

Automation

Data analysis

Communication

Stakeholder management

Independent work

Education

Bachelor's degree in Mathematics/Statistics/CS/Finance/Engineering

Tools

Python

R

SAS

Snowflake

BigQuery

Alteryx

Copilot/ AI automation

Job description

As a Quant Analytics Senior Associate within the Card Acquisitions Forecasting & Offer Analytics team, you will lead end to end forecasting across all cards, including new accounts forecasting, process automation, forecast optimization, ideation to improve/implement forecasting methodologies, reporting for senior leadership, and controls management. Successful candidates are expected to have a desire to work in demanding environment with substantial interaction with business/cross line of business partners and appetite for managing forecasting processes in structured manor.

Individual will focus on driving forecasting for entire cards portfolio (Brands/Co-Brands Cards, Consumer/Business Cards). The individual will partner within analytics team with multiple product leads to guide them with forecasting principles and best practices. The individual will be working very closely with product business leadership. The individual will work in a highly collaborative environment with different functional teams such as finance, risk, campaign management etc. and is expected to play a central role in driving forecast activity for entire cards portfolio. The individual will be responsible to generate forecasting reports for which will be submitted to external authorities for review. The individual will own controls/compliance for the forecasting module and responsible for routine certifications and updates.

Job responsibilities:

• Forecasting and Optimization – The individual will evaluate existing forecasting process and identify areas for improvements on all aspects including – data structure, methodology, process, partner inputs etc.
• Automation – Design/code automated framework for newly built manual forecasting capabilities. Proactively identify gaps/opportunities within existing forecasting framework, optimization framework, reporting and data capabilities and build an efficient automated solution.
• Ad-hoc Analytics/Reporting – Put together ad-hoc reports based on senior management needs with quick turnaround. Compare multiple forecasting/budget cycles and analyse impact of internal/macroeconomic factors etc. to evaluate current state of forecast and how it has evolved over time.
• Innovation / Gen AI - Knowledge of emerging AI/ML technologies and their application in data products as well as hands-on experience with generative AI solutions (e.g., LLMs, retrieval-augmented generation, agentic AI frameworks).
• Communication - The individual should be a strong communicator to drive the discussions and set expectations with senior leaders from cross line of business partner teams, as well as tailor content to different audiences and technical backgrounds.

Required, qualifications, skills, and capabilities:

• Bachelor's degree in Mathematics, Statistics, Computer Science, Finance, Engineering or other quantitative fields
• 3+ years of related experience evaluating complex business problems, data analysis and devising recommendations
• Expertise in analytical language (Python, R, SAS, etc.) and database (Snowflake, BigQuery, etc.) required.
• Hands-on experience with Alteryx & AI automation tools. Demonstrated proficiency to design and code automation framework to bridge gaps within existing processes and data using Alteryx/Copilot
• Strong verbal and written communication skills and stakeholder management (across a wide range of Card Product and Marketing partners)
• Experience within forecasting, automation, process optimization domain is strongly preferred
• Ability to work independently and drive results in a fast-pace and multi-function environment, with attention to details.