VP, Data Ops & Quant Analytics

BNY; Wrocław; On-site; PLN 240,000 - 360,000; Full time

Job summary

BNY is seeking a CLO Reporting Analyst to join its Corporate Trust team in Wroclaw. You will deliver timely, accurate reporting on Collateralized Loan Obligations for internal stakeholders and external investors, partnering with Analytics, Operations and Client Service to ensure transparency and excellence.

The role requires a strong background in quantitative finance, experience with VBA/SQL and Python, and prior team management of 7–10 FTEs.

Qualifications

• Bachelor's degree in Business, Finance, or a related field.
• Advanced degree or professional certification preferred.
• 7-12 years of experience preferred.
• Experience in quantitative finance and technology preferred.
• Any experience in CLO, structured finance, or fixed‑income reporting will be preferred.
• Prior experience in Analytical role like Financial modeling, valuation models, Data Analytics.
• Proficiency in VBA/SQL, Python will be valuable.
• Team management of 7-10 FTEs.

Responsibilities

• Prepare and Support Reporting for CLO’s as per Regulatory requirements & agreed Investor Reporting.
• Agree tests with client: Reporting analysts will liaise directly with clients to agree on the tests results.
• Engage Position Services to resolve exceptional data issues identified: for more complex problems, collaborate to sort them out efficiently.
• Operates between Position Servicing and CSM: act as the go-between for Position Servicing and the Client Service Manager.
• Analyze and incorporate Client/Auditor feedback on test results.

Skills

Quantitative finance

Financial modeling

Data analytics

Team management

Education

Bachelor's degree in Business/Finance

Advanced degree or professional certification preferred

Tools

VBA/SQL

Python

Job description

BNY is seeking a CLO Reporting Analyst to join its Corporate Trust team in Wroclaw. You will deliver timely, accurate reporting on Collateralized Loan Obligations for internal stakeholders and external investors, partnering with Analytics, Operations and Client Service to ensure transparency and excellence.

The role requires a strong background in quantitative finance, experience with VBA/SQL and Python, and prior team management of 7–10 FTEs.