Specialist, Chartered Financial Analyst

BNY; Wrocław; On-site; 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

Job Description

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting‑edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

We’re seeking a future team member for the role of Specialist, OPS Data Transfer, Integration & Quality to join our team. This role is located in Wroclaw, Poland – HYBRID.

Responsibilities

• Work with internal and external datasets and client reference data to provide analysis in the development of statistical, financial, and/or econometric models for analyzing asset performance, securities data, derivative pricing, risk exposure, or other sophisticated concepts.
• Provide analytical support and prepare regulatory reports & drafts of standard and ad‑hoc reports for assigned area in Structured Product CLOs.
• Support assigned areas with basic statistical and quantitative analyses, occasionally performing more advanced analyses.
• Perform or oversee data management activities in support of more senior quantitative colleagues, including running models, identifying exceptions, and taking corrective action.

Qualifications

• Bachelor’s degree or the equivalent combination of education and experience; advanced degree in quantitative analysis preferred.
• 2-5 years of experience preferred.
• Experience in quantitative finance and technology preferred.
• Knowledge of technology tools such as Python, querying, and macro development to extract data for populating models.
• Understanding of processes and products to support assessment of performance, risk, or valuation.

Benefits

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay‑for‑performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer – Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.