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Python Developer

at J.P. Morgan

Back to all Python jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Python Developer

at J.P. Morgan

JuniorNo visa sponsorshipPython

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Manila
Country
Philippines

As a Python Data Operations Analyst on the Loan Data Operations team, you will perform daily data input, validation, reconciliation and export of loan data files while supporting portfolio valuations and risk scenario runs. You will develop automation solutions, maintain system variables, procedures and controls to ensure financial data integrity and support business system migrations. The role requires close collaboration with internal teams and stakeholders, strong troubleshooting/root-cause analysis skills, and a focus on continuous improvement to optimize operational workflows.

Location: Metro Manila, National Capital Region, Philippines

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

  • Perform daily data input, validation, reconciliation, and export of loan data files
  • Conduct valuations for various portfolios and risk scenario runs for business end-users
  • Execute monthly User Acceptance Testing for portfolio business system migrations
  • Identify opportunities to improve efficiencies through automation, simplification, and collaboration
  • Maintain system variables in accordance with business requirements
  • Work collaboratively with internal team members and business stakeholders
  • Develop automation solutions to optimize and reduce manual processes
  • Maintain procedures, tools, guidelines, and controls to ensure financial data integrity
  • Support loan servicing, pricing, bulk sales, trading, and securitizations
  • Troubleshoot and perform root cause analysis to drive positive results
  • Manage and deploy intelligent systems or solutions for operational workflows

Required Qualifications, Capabilities, and Skills

  • Minimum one year of programming experience with data extraction, manipulation, and visualization tools (SQL, SAS, Tableau, Alteryx, Python)
  • College degree in Finance or Business Administration
  • Proficiency in Microsoft Office Professional Suite (Excel with Visual Basic, Project, Visio, Access, PowerPoint)
  • Excellent oral and written communication skills
  • Strong understanding of Mortgage Banking concepts
  • Adherence to business and industry practices
  • Experience in business operations and procedures
  • Flexibility and adaptability to changing demands and tight timelines
  • Strong root cause analysis and troubleshooting skills
  • Experience in managing and deploying intelligent systems or solutions
  • Proficiency in project management for intelligent solutions

Preferred Qualifications, Capabilities, and Skills

  • Familiarity with loan servicing, pricing, bulk sales, trading, and securitizations
  • Experience with automation and process optimization in financial operations
  • Advanced skills in data visualization and reporting tools
  • Background in collaborating with cross-functional teams

 

Enhance loan data operations by validating, reconciling, and automating processes to boost accuracy and efficiency for business users.

Python Developer

at J.P. Morgan

Back to all Python jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Python Developer

at J.P. Morgan

JuniorNo visa sponsorshipPython

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Manila
Country
Philippines

As a Python Data Operations Analyst on the Loan Data Operations team, you will perform daily data input, validation, reconciliation and export of loan data files while supporting portfolio valuations and risk scenario runs. You will develop automation solutions, maintain system variables, procedures and controls to ensure financial data integrity and support business system migrations. The role requires close collaboration with internal teams and stakeholders, strong troubleshooting/root-cause analysis skills, and a focus on continuous improvement to optimize operational workflows.

Location: Metro Manila, National Capital Region, Philippines

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

  • Perform daily data input, validation, reconciliation, and export of loan data files
  • Conduct valuations for various portfolios and risk scenario runs for business end-users
  • Execute monthly User Acceptance Testing for portfolio business system migrations
  • Identify opportunities to improve efficiencies through automation, simplification, and collaboration
  • Maintain system variables in accordance with business requirements
  • Work collaboratively with internal team members and business stakeholders
  • Develop automation solutions to optimize and reduce manual processes
  • Maintain procedures, tools, guidelines, and controls to ensure financial data integrity
  • Support loan servicing, pricing, bulk sales, trading, and securitizations
  • Troubleshoot and perform root cause analysis to drive positive results
  • Manage and deploy intelligent systems or solutions for operational workflows

Required Qualifications, Capabilities, and Skills

  • Minimum one year of programming experience with data extraction, manipulation, and visualization tools (SQL, SAS, Tableau, Alteryx, Python)
  • College degree in Finance or Business Administration
  • Proficiency in Microsoft Office Professional Suite (Excel with Visual Basic, Project, Visio, Access, PowerPoint)
  • Excellent oral and written communication skills
  • Strong understanding of Mortgage Banking concepts
  • Adherence to business and industry practices
  • Experience in business operations and procedures
  • Flexibility and adaptability to changing demands and tight timelines
  • Strong root cause analysis and troubleshooting skills
  • Experience in managing and deploying intelligent systems or solutions
  • Proficiency in project management for intelligent solutions

Preferred Qualifications, Capabilities, and Skills

  • Familiarity with loan servicing, pricing, bulk sales, trading, and securitizations
  • Experience with automation and process optimization in financial operations
  • Advanced skills in data visualization and reporting tools
  • Background in collaborating with cross-functional teams

 

Enhance loan data operations by validating, reconciling, and automating processes to boost accuracy and efficiency for business users.