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Finance Subject Matter Expert (SME) - Reopened

Truelancer AI Truelancer AI ContractRemote $40–80/hr
Posted Sep 15, 2026 · ✓ Still open — checked 15 hours ago

Quick facts

Pay
$40–$80/hr
Type
Contract
Location
Remote
Experience
12+ years
Skills
Finance
Platform
Truelancer AI — 101 open jobs
Typical pay at Truelancer AI
$12–80/hour · median $58 (54 jobs on our site)
Payout
Not published by Truelancer AI
Apply
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Finance Domain Expert

Role Overview

As a Finance Domain Expert, you will collaborate with AI and engineering teams to improve the performance of financial AI models by defining workflows, creating evaluations, curating data, and providing domain-specific insights.

Key Responsibilities

  • Workflow Definition: Identify and document common finance workflows such as M&A analysis, company valuation, portfolio construction, and investment research.

  • Evaluation Design: Develop test cases, evaluation criteria, and success metrics for AI-generated outputs.

  • Capability Assessment: Assess AI performance across financial tasks, including:

    • Financial statement analysis

    • Data extraction

    • Market research and trend analysis

    • Risk assessment

    • Valuation modeling

  • Data Curation & Annotation: Guide the selection and annotation of high-quality financial datasets for AI training and fine-tuning.

  • Feedback & Improvement: Provide ongoing feedback to enhance model accuracy, relevance, and usability.

Key Requirements

Experience

  • 12+ years of professional experience in one or more of the following areas:

    • Investment Banking

    • Private Equity

    • Asset Management

    • Equity Research

  • Open to Entry-Level, Mid-Level, and Executive-Level professionals with strong domain expertise.

Skills

  • Strong analytical and critical-thinking abilities.

  • Excellent written and verbal communication skills.

  • Ability to simplify complex financial concepts.

  • Attention to detail and commitment to quality.

  • Experience with AI/LLM-based financial applications is preferred.

  • Knowledge of:

    • Prompt Engineering

    • Data Annotation

    • Evaluation Rubrics

    • AI Model Testing & Validation

Domain-Specific Workflows

Private Equity – Market & Commercial Diligence

Analyze market size, competitive landscape, growth drivers, customer insights, and investment theses using public filings, industry databases, expert interviews, and market research.

Asset Management – Earnings Analysis & Quarterly Updates

Review quarterly earnings, benchmark performance against expectations, update financial models, and assess investment implications.

Investment Banking – Market & Competitive Research

Conduct industry analysis, competitor benchmarking, market sizing, and strategic positioning using filings, research reports, investor presentations, and market intelligence.

Equity Research – Investment Thesis Development

Build and refine buy/hold/sell recommendations through financial modeling, valuation analysis, industry research, earnings reviews, and market monitoring.

Core Financial Workflows

  • Discounted Cash Flow (DCF) Analysis

  • Leveraged Buyout (LBO) Modeling

  • Mergers & Acquisitions (M&A) Modeling

  • Comparable Company Analysis

  • Precedent Transaction Analysis

  • Financial Forecasting & Scenario Modeling

  • Valuation & Investment Research

  • Portfolio Analysis & Risk Assessment

Engagement Type: Finance SME for AI Model Training, Evaluation, Data Annotation, and Workflow Validation.

Guidelines

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