Specialty Finance Senior Engineer

The Specialty Finance team is seeking a hands-on technical engineer to build and own a scalable analytics and dashboard platform that tracks deal performance across private credit and specialty finance asset classes. This person will partner closely with the Specialty Finance team and broader technology team to define requirements build data pipelines and metrics for large data sets and deliver a web-based portal where dashboards and analytical tools are centrally maintained. The role also includes an opportunity to lead pragmatic AI initiatives and elevate best practices in modern analytics and engineering.

You are a builder with a deep understanding of Specialty Finance who enjoys owning products end-to-enddata analytics and delivery. You can operate comfortably in an investment environment where requirements evolve and you can balance speed with quality controls and maintainability.

Responsibilities:

• Design build and maintain a suite of dashboards that track deal/asset performance risk and key portfolio KPIs (e.g. collateral performance delinquency prepayment loss metrics triggers/covenants concentrations vintage curves).

• Build a unified web portal / internal site where dashboards reports and self-serve analytics tools are organized versioned and accessible with appropriate permissions.

• Act as point of contact for third party data providers to help normalize and validate deal-level data.

• Support ad-hoc analysis for investment memos portfolio reviews and ongoing surveillance.

• Own project plans and delivery cadence: scope milestones dependencies and stakeholder updates.

• Liaise with broader technology team to advocate for Specialty Finance requirements and ensure solutions meet firm standards.

• Work with investment stakeholders and convert them into clear technical specifications and prioritized roadmaps.

• Identify high-impact AI opportunities

Required Qualifications

• 10 years of relevant experience as a full-stack engineer specifically in specialty finance asset-backed finance private credit or an adjacent buy-side setting.

• Advanced Python skills for data engineering and analytics (pandas/numpy API integration scripting testing).

• Strong SQL skills and experience building analytics-ready data models with large data sets and hands-on Snowflake experience

• Experience building dashboards and/or data applications (e.g. Streamlit/Dash Plotly Power BI/Tableau or equivalent) with attention to UX for investment professionals.

• Demonstrated project management ability: translating ambiguous needs into shipped products managing stakeholders and delivering on timelines.

• Strong communication skills with the ability to work directly with investors and explain technical concepts clearly.

Preferred Qualifications

• Prior experience at a private credit / specialty finance buy-side firm or direct exposure to loan-level consumer assets (mortgages credit cards ABS/RMBS whole loans or specialty lending).

• Familiarity with core credit concepts and performance metrics (delinquency/default/loss prepayment seasoning vintage/cohort tracking credit enhancement/triggers concentration and covenant monitoring).

• Applied AI/ML experience (not necessarily deep research): using LLMs for workflow automation document extraction anomaly detection or decision-support tooling.

Core Technical Stack (Representative)

• Languages: Python SQL React

• Infrastructure: Redhat Openshift Containers

• Data Warehouse: Snowflake Microsoft SQL Server

• Visualization / Apps: Streamlit/Dash/Plotly Tableau

• Version Control & Delivery: Git Microsoft Azure DevOps

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Neuberger Berman is unable to offer visa sponsorship for this position. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

Compensation Details

Note: No amount of pay is considered to be wages or compensation until such amount is earned vested and determinable. The amount and availability of any bonus commission production or any other form of compensation that are allocable to a particular employee remains in the Companys sole discretion unless and until paid and may be modified at the Companys sole discretion consistent with the law.

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