Hybrid Data Transfer, Integration & Quality Specialist

BNY; Wrocław; Hybrid; PLN 170,000 - 260,000; Full time

Job summary

BNY seeks a Specialist, OPS Data Transfer, Integration & Quality in Wroclaw. Hybrid work model in Poland, blending on-site collaboration with remote work flexibility.

The role focuses on data transfer, integration, and quality within the operations data stack to support asset performance analysis and regulatory reporting. Ideal candidates bring 2–5 years in quantitative finance or related tech, strong Python/SQL skills, and a solid grasp of data governance and reporting processes.

Qualifications

• Bachelor’s degree or equivalent; quantitative analysis preferred.
• 2–5 years of experience in finance/technology.
• Experience in quantitative finance and technology preferred.
• Knowledge of Python and data extraction for populating models.
• Understanding of performance, risk, or valuation processes.

Responsibilities

• Work with internal and external datasets to develop statistical, financial, and econometric models for asset performance analysis.
• Prepare regulatory reports and drafts of standard and ad-hoc reports for Structured Product CLOs.
• Support areas with basic statistical analyses and occasionally more advanced analyses.
• Perform or supervise data management activities, including running models and identifying/correcting exceptions.

Skills

Quantitative analysis

Statistical modeling

Data analysis

Education

Bachelor's degree or equivalent

Advanced quantitative degree preferred

Tools

Python

SQL querying

Macro development

Job description

BNY seeks a Specialist, OPS Data Transfer, Integration & Quality in Wroclaw. Hybrid work model in Poland, blending on-site collaboration with remote work flexibility.

The role focuses on data transfer, integration, and quality within the operations data stack to support asset performance analysis and regulatory reporting. Ideal candidates bring 2–5 years in quantitative finance or related tech, strong Python/SQL skills, and a solid grasp of data governance and reporting processes.