Description

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, 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

• Build and maintain Python automations (data checks, transformations, reconciliations, reporting outputs) to reduce manual effort and cycle time.
• Apply disciplined practices in Python (code reviews, unit testing, documentation) to reduce defects and improve auditability.
• Execute and continuously improve daily/weekly/monthly processes for loan data ingestion, validation, reconciliation, exception management, and file exports.
• Use Python and SQL to extract, compare, and reconcile datasets across sources; quantify breaks and drive issue resolution.
• Implement and monitor data quality controls (completeness, accuracy, timeliness), including evidence capture and audit-ready documentation.
• Maintain system configurations/variables aligned with approved business requirements and change controls.
• Partner effectively with global, cross-functional teams, aligning expectations across time zones and communication styles.

Required Qualifications, Capabilities, and Skills

• 1+ years of hands-on programming experience in data operations, analytics and automation, using Python
• College degree in Finance or Business Administration
• Strong Python proficiency for data processing (e.g., pandas), including writing maintainable code for ETL (Extract, Transform, Load) -style workflows, validations, and reconciliations.
• Strong SQL for data extraction and analysis; comfortable reconciling large datasets and investigating anomalies.
• Proven ability to manage operational workflows with discipline: prioritization, SLAs, controls, and timely delivery.
• Demonstrated cross-cultural stakeholder management skills: clear written updates, structured escalation, expectation-setting, and effective collaboration across regions/time zones.
• Strong troubleshooting and root-cause analysis skills; ability to drive issues to closure with partner teams.
• Advanced Excel capability (pivots/Power Query; VBA a plus).
• Excellent communication skills with the ability to translate between business needs and technical implementation.

Preferred Qualifications, Capabilities, and Skills

• Experience with loan/mortgage concepts and lifecycle (servicing, pricing, trading, bulk sales, securitizations).
• Experience with orchestration/scheduling/monitoring patterns for batch processes (alerts, metrics, failure handling).
• Familiarity with Alteryx/SAS (nice-to-have for reporting and ad hoc analysis).
• Expertise in Tableau for (dashboard design, calculated metrics, publishing)
• Exposure to disciplined development practices (Git/version control, testing, peer review, documentation).
• Experience supporting migrations or major process change initiatives in a controlled environment (UAT, parallel run, sign-offs).

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.