Senior Structured Finance Strategist

Deel

New York (NY)

Hybrid

USD 110.000 - 170.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Generous PTO
Career growth
Collaborative culture

Zusammenfassung

Cardo AI in New York is seeking a Senior/Associate Structured Finance Specialist to execute structured credit transactions across asset classes, reporting to the Head of Client Integration and partnering with institutions and internal teams.

You will analyze securitization and asset-based lending structures, work with large datasets (SQL, Python, R), and deliver data-driven solutions that drive efficiency and growth for clients in a fast-growing fintech.

Qualifikationen

  • 3 to 5 years of experience in structured finance, securitizations, leveraged finance, or asset-based lending.
  • Strong analytical skills with large datasets; familiarity with SQL and other tools is preferred.
  • Problem-solving mindset and ability to drive projects forward autonomously.
  • Exceptional communication skills and client interaction in a fast-paced, high-growth environment.

Aufgaben

  • Analyze securitization and asset-based lending structures and extract key insights from reports and legal docs.
  • Map data sources to Cardo AI's proprietary financial models using SQL, Python, or R.
  • Act as a trusted advisor to financial institutions, delivering tailored solutions to improve efficiency and returns.
  • Collaborate with Customer Success, Product, and Engineering to ensure seamless process implementation.

Kenntnisse

Structured finance
Securitizations
Asset-based lending
SQL
Python
R
Analytics

Tools

SQL
Python
R

Jobbeschreibung

Cardo AI in New York is seeking a Senior/Associate Structured Finance Specialist to execute structured credit transactions across asset classes, reporting to the Head of Client Integration and partnering with institutions and internal teams.

You will analyze securitization and asset-based lending structures, work with large datasets (SQL, Python, R), and deliver data-driven solutions that drive efficiency and growth for clients in a fast-growing fintech.

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