Python Developer (Data Analyst)

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 experiencein 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 SQLfor 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).