Data Analyst - Finance (Remote)
Offre en anglaisThe role involves training and refining AI models by evaluating and generating complex multimodal financial data. Key tasks include analyzing deal structures, valuation tables, and financial models to ensure technical accuracy and institutional standards.
- Télétravail
- Canada, United States
- Publié 5 sept. 2026
- 1 poste
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Résumé du poste
Role: Data Analyst - Finance (Remote) Location: Remote (United States & Canada Only) Employment Type: Contract / Full-Time Important Eligibility Notice: Location: This role is strictly open to candidates currently residing in and authorized to work in the United States or Canada. Applications from outside these regions will not be considered. Required Background: This position requires direct, prior experience in Investment Banking (IB), Private Equity (PE), or Mergers & Acquisitions (M&A). General accounting, corporate bookkeeping, or basic FP&A backgrounds do not meet the core requirements for this project. Overview: We are seeking a Finance Multimodal Data Specialist with institutional financial expertise to train, evaluate, and refine next-generation AI models on complex financial reasoning tasks. You will analyze high-level financial models, deal structures, pitch decks, LBOs, and SEC filings to generate high-quality multimodal training data. Key Responsibilities: Evaluate, annotate, and generate complex multimodal data involving financial charts, valuation tables, tear sheets, and deal memoranda. Design and solve advanced financial problems covering DCF modeling, LBO dynamics, comparable company analysis (Comps), and M&A structuring. Validate AI model responses for technical financial accuracy, precision, and adherence to institutional finance standards. Identify logic flaws, mathematical inconsistencies, and edge-case errors in AI-generated financial insights. Requirements: 1+ years of direct experience as an Analyst or Associate in Investment Banking (IB), Private Equity (PE), M&A, or institutional Equity Research. Deep proficiency in financial modeling, corporate valuation methodologies, and interpreting complex financial statements. Strong written communication skills with the ability to explain intricate financial logic clearly. Must be based in and authorized to work in the United States or Canada. Equal Opportunity Employer: We are an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability. Apply Now!
Ce que vous ferez
The role involves training and refining AI models by evaluating and generating complex multimodal financial data. Key tasks include analyzing deal structures, valuation tables, and financial models to ensure technical accuracy and institutional standards.
Exigences
Candidates must have at least 1 year of direct experience in Investment Banking, Private Equity, or M&A. Proficiency in corporate valuation and the ability to work from the US or Canada are mandatory.
Compétences indiquées
- TechnicalSouhaitée
- precisionSouhaitée
- written communicationSouhaitée
- analysisSouhaitée
- TrainingSouhaitée
- Analyse de donnéesSouhaitée
- CommunicationSouhaitée
- AccuracySouhaitée
- TimeSouhaitée
- Communication SkillsSouhaitée
- ComptabilitéSouhaitée
- Tenue de livresSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Financial Modeling
- Corporate Valuation
- DCF Modeling
- LBO Dynamics
- Comparable Company Analysis
- M&A Structuring
- Financial Statement Analysis
- SEC Filings Analysis
- Data Annotation
- Technical Financial Writing
Domaines d’emploi
- Finance & Accounting
- Data & Analytics
- Technology
- Consulting
Renseignements supplémentaires
- Expérience minimale
- 0+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Associate