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Senior PE & Credit SME (AI-Enabled Workflow)

  • Source: LinkedIn
  • Acuity Analytics
  • On-site
  • New York City
  • Senior

Job Description

JOB DETAILS

  • Job Type: Contractual (6 months contract with opportunity for extension)
  • Location: New York City
  • Work Mode: 5-days’ work from office (onshore)
  • Working hours: 9 AM - 5 PM EST

JOB PURPOSE

We are seeking a senior Private Equity & Credit SME to embed onsite with a leading private markets client in New York and lead the domain side of a flagship AI initiative: the automated generation of Investment Committee (IC) memos using an enterprise AI solution. Acting as the “human-in-the-loop” domain expert, the SME will teach the AI what a strong IC memo looks like, curate the training corpus, validate outputs against IC-grade quality standards, and serve as the bridge between the client’s investment teams and Acuity’s offshore AI/delivery team. The role spans both private equity and private credit; as credit write-ups and committee materials are structurally different from PE memos, experience across both deal types is important.

KEY RESPONSIBILITIES

  • Anchor the IC memo AI workstream onsite
  • Curate and govern the training corpus
  • Design memo frameworks and prompt architecture
  • Own the full IC memo section architecture
  • Build the private credit memo architecture
  • Support ongoing credit monitoring use cases
  • Quality-assure AI outputs
  • Partner with stakeholders and lead knowledge transfer

KEY COMPETENCE

  • 8–12+ years of direct private markets investment experience across private equity and/or private credit (a senior professional at a mid-/upper-mid-market PE or credit fund, or a senior deal-execution role at a leading investment bank or advisory firm)
  • Proven track record of authoring and presenting IC memos and/or credit write-ups across multiple closed transactions
  • Deep fluency across the full PE deal lifecycle (sourcing → diligence → IC approval → portfolio value creation → exit), and a working understanding of the private credit lifecycle (underwriting → credit approval → ongoing portfolio and covenant monitoring)
  • Valid US work authorization (visa) and ability to work onsite in New York for the full engagement
  • Demonstrated comfort with enterprise LLMs (Claude, GPT-class or similar) and structured prompting techniques
  • Exceptional written communication and the gravitas to engage senior AI, PE, and Credit leadership directly
  • Strongly preferred: hands-on experience across both private equity and private credit (e.g. direct lending, CLOs, or leveraged credit); exposure to agentic / RAG-based AI architectures; familiarity with enterprise content platforms (e.g. Egnyte or similar); sector depth in one or more core verticals (Healthcare, Software, Business Services, Financial Services, Industrials); prior consulting / KPO / managed-services delivery experience
  • An MBA and/or CFA, and exposure to similar AI-for-IC projects, would be an advantage

Skills

  • mode
  • claude-by-anthropic
  • egnyte
  • aws-managed-services

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