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채용JPMorgan Chase

Process Improvement Associate II- AI Automation Support

JPMorgan Chase

Process Improvement Associate II- AI Automation Support

JPMorgan Chase

Jacksonville, FL, United States, US

·

On-site

·

Full-time

·

1mo ago

Embark on a rewarding and challenging career in Process Improvement with our dynamic team in Organizational Effectiveness and Oversight (OEO) where we provide Home Lending with innovative tools to better serve customers, guide employees through change and ensures successful adherence to core functions and regulatory requirements. OEO is the centralized utility responsible for managing business change, resolving escalated customer complaints, developing automated business solutions, executing program management, leading employee readiness, responding to employee feedback, ensuring proper fee treatments, processing vendor invoices and providing oversight and foundational support. With highly supportive leadership and programs to foster growth and career mobility, your skills and capabilities can increase and be fine-tuned to make you more agile and versatile in reaching your career potential.

As a Process Improvement Associate II- AI Automation Support in AI Operations and Automation, you will be known as a Data Solution Senior Developer that is responsible for assessing complex business requirements for development feasibility of the solution. You will create sophisticated solutions in coordination with business and delivery leads, adhering to lifecycle methodology and Intelligent Solutions Control Standards and you will oversee the entire configuration process for automation requests, maintains internal client relationships, and provides executive-level presentations and status updates. Your role will include supporting enhanced automation solutions, documenting best practices, and delivering training programs for in-house developers in addition to sharing knowledge and expertise with junior team members and in-house developers across the line of business (LOB).

Job responsibilities

  • Review and understand complex business requirements and determine feasibility of development, with one or more tools from the advanced low-code toolkit

  • Create sophisticated solutions in coordination with the business and delivery leads in accordance with lifecycle methodology and the Intelligent Solutions Control Standard where applicable

  • Serve as the project manager, overseeing and managing the entire configuration process for automation requests from internal customers and manage internal client relationships between the business, finance, key stakeholders, and solution users

  • Create executive-level presentations and status updates provided to clients and stakeholders

  • Maintain support for internally built solutions ensuring scalability and robustness

  • Partner with peers on the Center of Excellence team to provide planning and implementation support

  • Provide support for enhanced automation solutions, ranging from process creation and validation to user training and security access

  • Document and distribute best practices/standards for usage of automation & data transformation technologies for internal client usage

  • Deliver and/or recommend training programs to enable business in-house developers

  • Provide support and share knowledge and expertise with the junior team members and in-house developers across the line of business (LOB) as needed

Required qualifications, capabilities, and skills

  • 2+ years’ applied knowledge in solution development using Alteryx, Tableau, or any mining, transformation, or visualization tool

  • Proficiency in Microsoft Office applications

  • Ability to support the delivery of high-quality results under tight deadlines

  • Analytical Thinking with ability to systematically organize, compare, and evaluate various aspects of a situation and environment to comprehend and identify key or underlying information with strong logical reasoning

  • Communicate complex financial concepts and calculations to management or internal/external parties in a clear and succinct manner with strong oral and written communication skills

  • Problem Solving with ability to identify and differentiate the symptoms and root causes of issues and problems.

  • Building relationships adopting and exhibiting practices to strengthen and maintain productive relationships and manages internal and external client expectations

Preferred qualifications, capabilities, and skills

  • Strong SQL skills for querying databases (e.g., Oracle, AWS) and knowledge of Python language

  • Familiarity with Extract Transform Load (ETL) processes and data transformation techniques

  • Experience with data visualization tools (e.g., Tableau, Qlik, Power BI)

  • Alteryx Designer Advanced Certification

  • Exposure to the banking or financial services industry, including familiarity with banking products

  • Coursework or demonstrated interest in finance or business analytics is a plus

  • Experience in training or product, program, or process-related presentation

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JPMorgan Chase 소개

JPMorgan Chase

JPMorgan 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+

직원 수

New York City

본사 위치

$500B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

3.2

보상

4.1

문화

3.8

커리어

3.0

경영진

2.5

65%

친구에게 추천

장점

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

단점

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

연봉 정보

41개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1개 리포트

$139,000

총 연봉

기본급

$107,000

주식

-

보너스

-

$139,000

$139,000

면접 경험

5개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 20%

보통 80%

부정 0%

면접 과정

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

자주 나오는 질문

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study