招聘
This role sits in Marketing Growth & Innovation, part of Card Services within Chase’s Consumer & Community Banking group.
As an Analytics Solutions Associate within Consumer & Community Banking, you’ll join the Pricing Execution team to design, monitor, and improve pricing processes. You’ll identify automation opportunities, enhance controls, investigate exceptions, and drive AI-enabled efficiencies across reporting and governance. This role requires strong pricing operations, analytics, and automation skills to modernize legacy processes and deliver scalable solutions.
Job responsibilities
- Review pricing controls, monitoring frameworks, and reporting processes used across the pricing ecosystem to Identify opportunities to implement new controls, strengthen existing monitoring, and improve transparency across pricing execution processes.
- Assess existing pricing execution reports, exception reports, to design and optimize exception management logic to automate and reduce manual intervention.
- Partner with business, product, operations, risk, technology, and control teams to highlight issues, quantify impact, and drive remediation.
- Perform deep-dive investigative analysis on large volumes of pricing data, exceptions, and operational breaks to identify root causes, recurring themes, and process bottlenecks.
- Develop automated analytical workflows (SAS, Alteryx, Python) to triage, disposition, and prioritize exceptions more efficiently.
- Build and maintain automated workflows using tools such as Alteryx, Python, SQL, Snowflake, and related data platforms.
- Evaluate opportunities to apply AI / GenAI / intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency.
- Support the development of scalable monitoring and decision-support solutions, including rule-based automation, anomaly detection concepts, and AI-assisted productivity use cases where appropriate.
- Support internal audit, compliance, and control testing requirements by maintaining traceable evidence and well-documented process flows.
- Help build a forward-looking execution and implementation capability that is more automated, data-driven, controlled, and AI-enabled.
Required qualifications, capabilities, and skills
- Bachelor’s degree in statistics, economics, mathematics, or engineering with analytical solutions development, automations and banking analytics experience.
- Worked in a Risk and control environment in any domain especially managing the teams control procedures and documentation of those.
- Excellent communication (written/verbal) and presentation skills with an ability to influence business leaders in a meaningful and actionable manner, networking.
- Experience in developing automation frameworks and end to end solutions leveraging Alteryx, python, SAS and Snowflake.
- 5+ Experience with SAS/Snowflake/Python for data analysis, automation, workflow optimization, or reporting enhancements.
- Experience with AI-enabled operational transformation, workflow orchestration, and reporting automation with Intelligent automation / GenAI productivity use cases.
- Exposure to enterprise AI enablement, LLM-assisted workflows, or automation transformation programs.
Preferred qualifications, capabilities, and skills
- Experience in data-driven storytelling to support strategic growth initiatives
- Proven ability to build strong partnerships with cross-functional teams.
- Strong experience in Credit Card pricing Implementation, Execution, controls, monitoring, reporting, or operational analytics within banking services.
- Team player with the ability to work independently, ability to work multiple problems simultaneously.
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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
员工数
New York City
总部位置
$500B
企业估值
评价
3.8
10条评价
工作生活平衡
3.2
薪酬
4.1
企业文化
3.8
职业发展
3.0
管理层
2.5
65%
推荐给朋友
优点
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
薪资范围
41个数据点
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2份报告
$188,500
年薪总额
基本工资
$145,000
股票
-
奖金
-
$182,000
$195,000
面试经验
5次面试
难度
3.0
/ 5
时长
14-28周
录用率
40%
体验
正面 20%
中性 80%
负面 0%
面试流程
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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