Job Description

We are currently looking for a Full-Time Data Scientist to come on-board for one of our Hedge Fund Clients in NYC. They are a private credit fund specializing in fixed income investments and private credit, using data-driven strategies to optimize returns and manage risks. This Data Scientist should be proficient in data engineering, predictive modeling, and reporting, with expertise in data visualization, machine learning techniques, Python, Azure, and SQL databases to support investment decision-making and portfolio management. The ideal candidate is a self-starter and interested in working in a dynamic, fast changing environment.

Key Responsibilities:

• Data Engineering:

  • Design, build, and maintain scalable data pipelines using Azure and other cloud-based tools to ingest, clean, and process large datasets from multiple sources (market data, accounting systems, analyst models).

  • Ensure data integrity and availability for investment analysis and reporting.

• Data Modeling & Analytics:

  • Develop and implement models to assess credit risk, forecast asset pricing, and analyze fixed income securities.

  • Use Python for statistical analysis, predictive modeling, and automation of analytical workflows.

• Reporting & Visualization:

  • Generate and automate reports that provide insights into portfolio performance, risk exposure, and market conditions.

  • Collaborate with portfolio managers to deliver actionable data-driven insights through clear visualizations and dashboards.

• Collaboration & Stakeholder Engagement:

  • Work closely with investment teams to translate complex data analysis into investment strategies and risk management solutions.

  • Communicate technical results to non-technical stakeholders, ensuring transparency and clarity.

Required Skills:

• Technical Expertise:

  • Proficiency in Python for data analysis, modeling, and automation.

  • Strong knowledge of Azure (data storage, processing services) and SQL databases for data management.

  • Experience with data modeling, including building and deploying predictive models.

• Analytical & Problem-Solving Skills:

  • Ability to interpret large datasets and transform them into actionable investment insights.

  • Strong understanding of fixed income markets and credit instruments.

Preferred Qualifications:

• Bachelor’s or Master’s in Data Science, Computer Science, Finance, or a related field.

• Experience in real estate, fixed income or private credit investing is a plus.

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