Front-Office Quant Data Engineer for Private Credit

Oscar Faye

New York (NY)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Oscar Faye is partnering with a leading global investment firm to hire a Data Engineer / Quant for its quantitative strategies team, supporting an ABF and private credit business. This is a front office role working directly with traders, investors, and deal teams.

You will design scalable data pipelines, shape lakehouse architecture on Snowflake, Databricks, Spark, and AWS, and ensure data quality and governance to enable deal underwriting and portfolio monitoring.

Qualifications

  • 5–10 years in data engineering, quant analytics, or fintech — ideally near structured products, private credit, or fixed income (ABS or MBS product exposure is a big plus)
  • Strong Python and SQL, with production-quality data or analytical applications shipped
  • Deep familiarity with data warehouse/lakehouse architecture and cloud platforms (Snowflake, AWS)
  • Genuine interest in private credit and investing; comfortable with both technical and non-technical stakeholder

Responsibilities

  • Design and maintain scalable data pipelines and analytical datasets across structured products and private credit workflows
  • Shape the firm's data lake / lakehouse architecture on Snowflake, Databricks, Spark, and AWS
  • Integrate internal and external data with strong quality, lineage, and reconciliation standards
  • Partner with investment professionals to turn business needs into production data and analytics

Skills

Python
SQL
Airflow
ML/AI analytics

Tools

Snowflake
Databricks
Spark
AWS

Job description

Oscar Faye is partnering with a leading global investment firm to hire a Data Engineer / Quant for its quantitative strategies team, supporting an ABF and private credit business. This is a front office role working directly with traders, investors, and deal teams.

You will design scalable data pipelines, shape lakehouse architecture on Snowflake, Databricks, Spark, and AWS, and ensure data quality and governance to enable deal underwriting and portfolio monitoring.

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