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Join our dynamic team and help shape the future of loan data operations. Unlock your potential by driving automation and process improvements that deliver accurate, timely results. Be at the heart of financial innovation, collaborating with experts and business partners to optimize workflows and support key business objectives. Experience career growth and make your mark in a fast-paced, evolving environment.
As a Python Data Operations Analyst within the Loan Data Operations team, you will perform critical support functions including data input, validation, reconciliation, and export of loan data files. You will collaborate with internal teams and business stakeholders to optimize operational workflows and develop automation solutions. Your role will focus on maintaining system integrity, supporting business migrations, and ensuring compliance with financial controls. You will contribute to continuous improvement initiatives and help promote operational excellence.
Job Responsibilities
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Perform daily data input, validation, reconciliation, and export of loan data files
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Conduct valuations for various portfolios and risk scenario runs for business end-users
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Execute monthly User Acceptance Testing for portfolio business system migrations
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Identify opportunities to improve efficiencies through automation, simplification, and collaboration
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Maintain system variables in accordance with business requirements
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Work collaboratively with internal team members and business stakeholders
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Develop automation solutions to optimize and reduce manual processes
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Maintain procedures, tools, guidelines, and controls to ensure financial data integrity
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Support loan servicing, pricing, bulk sales, trading, and securitizations
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Troubleshoot and perform root cause analysis to drive positive results
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Manage and deploy intelligent systems or solutions for operational workflows
Required Qualifications, Capabilities, and Skills
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Minimum one year of programming experience with data extraction, manipulation, and visualization tools (SQL, SAS, Tableau, Alteryx, Python)
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College degree in Finance or Business Administration
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Proficiency in Microsoft Office Professional Suite (Excel with Visual Basic, Project, Visio, Access, PowerPoint)
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Excellent oral and written communication skills
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Strong understanding of Mortgage Banking concepts
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Adherence to business and industry practices
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Experience in business operations and procedures
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Flexibility and adaptability to changing demands and tight timelines
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Strong root cause analysis and troubleshooting skills
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Experience in managing and deploying intelligent systems or solutions
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Proficiency in project management for intelligent solutions
Preferred Qualifications, Capabilities, and Skills
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Familiarity with loan servicing, pricing, bulk sales, trading, and securitizations
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Experience with automation and process optimization in financial operations
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Advanced skills in data visualization and reporting tools
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Background in collaborating with cross-functional teams
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan 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%
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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
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