Finance Specialist - Fully Remote | Upto $150/hr
Budget / Salary$150–150
TypeContract
LocationUnited Kingdom
Posted3 hours ago
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: UK-based VP / Investment Associate
Type:Contract
Compensation:$150/hour
Location:Remote
Role Responsibilities
Lead the valuation of private companies using appropriate financial and market-based methodologies.
Build, review, and refine detailed Excel valuation models.
Analyze company performance, financial projections, capital structure, comparable companies, and relevant transaction data.
Assess key assumptions, sensitivities, valuation ranges, and investment risks.
Review investment policy documentation and identify gaps, inconsistencies, or areas for improvement.
Support broader portfolio analysis across public and private investments.
Conduct market-data research and maintain a clear record of sources and assumptions.
Convert analytical findings into concise, senior-level presentation materials.
Prepare simplified trade and investment documentation as required.
Ensure financial models, conclusions, and presentation outputs are internally consistent and decision-ready.
Incorporate structured feedback from senior reviewers and iterate quickly on the work.
Qualifications
Must-Have
5–7 years of professional experience in Investment Banking, Private Equity, a Family Office, or investment management.
Strong experience with private-company valuation, financial modeling, investment analysis, and transaction-related work.
Advanced proficiency in Excel and the ability to build robust, auditable financial models.
Experience preparing investment committee materials, board presentations, transaction presentations, or comparable senior-level deliverables.
Strong understanding of valuation methodologies, including comparable-company analysis, precedent transactions, and discounted cash-flow analysis.
Comfortable working with market-data exports, financial statements, portfolio information, and imperfect datasets.
Exceptionally strong written communication and attention to detail.
Comfortable having analytical judgments reviewed and calibrated against those of other experienced investment professionals.
Preferred
Experience analyzing investment policies or institutional portfolio guidelines.
An MBA, specialized finance master's degree, or CFA qualification.
Prior experience with AI evaluation, financial assessments, or human-data projects.
Application Process (Takes 20–30 mins to complete)
Submit your resume or relevant professional background to get started.
Complete a financial modelling assessment as part of your application.
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: UK-based VP / Investment Associate
Type:Contract
Compensation:$150/hour
Location:Remote
Role Responsibilities
Lead the valuation of private companies using appropriate financial and market-based methodologies.
Build, review, and refine detailed Excel valuation models.
Analyze company performance, financial projections, capital structure, comparable companies, and relevant transaction data.
Assess key assumptions, sensitivities, valuation ranges, and investment risks.
Review investment policy documentation and identify gaps, inconsistencies, or areas for improvement.
Support broader portfolio analysis across public and private investments.
Conduct market-data research and maintain a clear record of sources and assumptions.
Convert analytical findings into concise, senior-level presentation materials.
Prepare simplified trade and investment documentation as required.
Ensure financial models, conclusions, and presentation outputs are internally consistent and decision-ready.
Incorporate structured feedback from senior reviewers and iterate quickly on the work.
Qualifications
Must-Have
5–7 years of professional experience in Investment Banking, Private Equity, a Family Office, or investment management.
Strong experience with private-company valuation, financial modeling, investment analysis, and transaction-related work.
Advanced proficiency in Excel and the ability to build robust, auditable financial models.
Experience preparing investment committee materials, board presentations, transaction presentations, or comparable senior-level deliverables.
Strong understanding of valuation methodologies, including comparable-company analysis, precedent transactions, and discounted cash-flow analysis.
Comfortable working with market-data exports, financial statements, portfolio information, and imperfect datasets.
Exceptionally strong written communication and attention to detail.
Comfortable having analytical judgments reviewed and calibrated against those of other experienced investment professionals.
Preferred
Experience analyzing investment policies or institutional portfolio guidelines.
An MBA, specialized finance master's degree, or CFA qualification.
Prior experience with AI evaluation, financial assessments, or human-data projects.
Application Process (Takes 20–30 mins to complete)
Submit your resume or relevant professional background to get started.
Complete a financial modelling assessment as part of your application.
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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