AI Engineer

The Firm
Founded in 1988, Prospect Capital is an alternative asset management firm with $9.4B of assets under management, and pursues multiple strategies in the US, including direct lending, private equity, real estate private equity, and structured credit. Prospect has permanent capital and utilizes a long-term, value-oriented approach that employs fundamental bottoms-up research to identify investments that offer attractive risk and reward.
 

With offices in New York City, Connecticut, and Florida, the firm is comprised of 130+ experienced professionals who value entrepreneurship, intellectual rigor, hard work and continuous improvement.

Role and Responsibilities:

• Automate Core Processes: Develop AI-driven automations for quarter-end processes, data collection, and various investment sub-processes, reducing manual work and driving operational excellence.
• Build & Refine Models: Design and improve internal AI models to support valuations, risk assessments, and operational decision-making across our extensive portfolio.
• Portfolio Company Optimization: Work directly with the C-Suite of Prospect’s 16 wholly owned portfolio companies to use automation to improve profitability at these firms.
• Cross-Functional Collaboration: Partner with investment, back-office, and other internal teams to identify and solve complex challenges using AI and data science methods.
• Data Analysis & Insights: Provide actionable insights derived from large data sets—informing fundraising, marketing, and strategic initiatives across the firm’s multiple verticals.
• Process & Systems Integration: Ensure seamless implementation of newly built tools and systems within existing infrastructure, providing training and support to stakeholders.

• Self-Starter & Innovator: You thrive in a fast-paced environment and have a track record of tackling open-ended problems with minimal direction. You have an ownership mentality and can take complex projects from start to finish.
• Technical Expertise: 3-5 years of professional development experience. Strong Python, SQL, Docker, Retrieval-Augmented Generation, and data manipulation skills are essential. Familiarity with frameworks such as TensorFlow, PyTorch, or scikit-learn is a plus. Experience building projects using AI models is a plus.
• Financial Aptitude: Experience in an investment firm, structured finance, or private equity is beneficial but not mandatory. A desire to learn and adapt to financial applications of AI is crucial.
• Automation Mindset: Proven ability to build end-to-end solutions, automating complex processes and integrating with various APIs and systems.
• Web Development Experience: Comfort with RESTful API design and front-end frameworks is preferred, enabling seamless product deployment and integration.
• Project Management: Strong understanding of CI/CD. Experience with Azure/AWS. Adept at juggling multiple projects in a time-sensitive setting while maintaining a high level of attention to detail. 
• Team Player: Exceptional communication skills, enabling you to translate technical concepts into actionable insights for non-technical stakeholders.

The anticipated annual base salary range for this position is $130,000 - $180,000 plus annual discretionary performance-based bonus. Actual pay may be adjusted based on experience and performance. 

In addition to the base salary, the hired professional is eligible for comprehensive benefits, including 100% employer-paid premiums for medical, dental, vision insurance, life insurance, and AD&D. You'll also have access to pretax benefit accounts, including FSA, HSA, and Commuter accounts. Our perks go beyond the basics with a mentorship program, daily in-office paid breakfast and lunch, company-sponsored ski and sailing trips, and regular happy hours. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.