Corporate Finance Expert - Financial Modeling
Posted date [2026-08-29]
(ID: 50328)
 |
YO IT Consulting specializes in recruiting remote professionals for AI training and data annotation projects with global companies. Based in Abu Dhabi Emirate, United Arab Emirates, the company connects qualified talent worldwide with flexible remote opportunities that contribute to the development and improvement of modern artificial intelligence systems. |
Job Description and Requirements
Corporate Finance Expert - Financial ModelingJob Snapshot
Role: Corporate Finance Expert - Financial Modeling
Location: Abu Dhabi Emirate, United Arab Emirates
Industry: Financial Services
Function: Corporate Finance
Experience: 5+ years corporate finance experience preferred
Job Type: Contractor
Position Overview
Corporate Finance Expert - Financial Modeling in Abu Dhabi Emirate, United Arab Emirates is a Financial Services contractor opportunity for an experienced finance professional contributing to advanced AI evaluation projects. YO IT Consulting is hiring specialists with strong expertise in budgeting, forecasting, financial modeling, variance analysis, P&L management, reconciliation, and financial reporting to create realistic business scenarios and assess AI-generated financial outputs. No prior AI experience is required.
Job Details
Country: United Arab Emirates
City: Abu Dhabi Emirate
Industry: Financial Services
Function: Corporate Finance
Salary: 15000-25000
Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer.
Gender: Any
Candidate
Nationality: Any
Job Type: Contractor
Role Context
The Corporate Finance Expert will apply practical financial management experience to the creation and evaluation of realistic finance scenarios used to assess AI-generated analysis. The role requires strong judgement across forecasting, budget ownership, financial modeling, reconciliations, management reporting, and variance investigation.
Rather than relying on academic finance exercises, the project requires scenarios that reflect the ambiguity, trade-offs, incomplete information, and numerical complexity found in real corporate environments. The expert will define accurate solutions, document assumptions, and establish detailed grading criteria that measure both mathematical correctness and the quality of financial reasoning.
Key Responsibilities
* Create realistic corporate finance evaluation tasks covering budgeting, forecasting, financial modeling, and variance analysis.
* Develop supporting financial artifacts such as budgets, forecast models, reconciliations, P&L schedules, and management reports.
* Build scenarios that reflect real operational and financial decision-making rather than simplified textbook examples.
* Prepare accurate solutions supported by transparent assumptions and defensible financial logic.
* Develop detailed grading rubrics with 35 or more assessment points covering numerical accuracy, methodology, reasoning, and analytical quality.
* Evaluate financial outputs for calculation errors, incorrect assumptions, inconsistent methodology, and weak interpretation.
* Design budgeting scenarios involving departmental spending, cost control, revenue expectations, and resource allocation.
* Build forecasting exercises that incorporate historical performance, assumptions, business drivers, and scenario changes.
* Create financial models that support planning, performance evaluation, and decision-making.
* Perform and interpret variance analysis across actuals, budgets, and forecasts.
* Assess P&L performance and identify the operational or financial drivers behind material movements.
* Incorporate reconciliation and close-related scenarios where balances, transactions, or reporting outputs require validation.
* Translate complex financial datasets into concise conclusions, risks, and actionable recommendations.
* Communicate financial findings and assumptions clearly for review by project teams.
* Maintain precision and consistency across output-based assignments while meeting weekly submission expectations.
Ideal Profile
Candidates should ideally bring at least five years of corporate finance experience with responsibility for a P&L, major departmental budget, or significant financial planning process.
Hands-on experience with budgeting, forecasting, financial modeling, month-end or quarter-end close, reconciliations, and variance analysis is strongly preferred.
The role is best suited to professionals who can move beyond reporting numbers and explain what is driving financial performance, why variances occurred, and what actions management should consider next.
Advanced financial modeling ability and excellent numerical accuracy are essential. Candidates should also be confident working with detailed financial data, identifying inconsistencies, testing assumptions, and converting analysis into clear business recommendations.
Corporate finance experience is preferred over a purely accounting-focused background. Professional credentials such as CPA, CFA, FMVA, or an MBA would be advantageous but are not mandatory.
Skills Set
* Corporate finance
* Financial modeling
* Budgeting
* Forecasting
* Variance analysis
* P&L management
* Financial analysis
* Financial reporting
* Reconciliation
* Financial management
* Numerical precision
* Management reporting
* Budget ownership
* Forecast modeling
* Scenario analysis
* Financial planning
* Month-end close
* Quarter-end close
* Cost analysis
* Revenue analysis
* Profitability analysis
* Financial data interpretation
* Management recommendations
* Financial assumptions
* Evaluation rubric development
* Analytical reasoning
* CPA
* CFA
* FMVA
Why Join Us
This contractor opportunity allows experienced finance professionals to apply real corporate decision-making expertise to the rapidly developing field of AI evaluation. The work draws directly on practical experience with P&L ownership, budgeting, forecasting, financial modeling, reconciliations, and management analysis rather than requiring previous artificial intelligence knowledge.
The project also provides exposure to financial benchmark design, structured evaluation, scoring methodology, and advanced analytical quality assessment. These capabilities are becoming increasingly relevant as AI systems are used more extensively in financial planning, analysis, reporting, and decision support.
Compensation is output-based and paid per approved task, with minimum weekly submission requirements. Selected professionals should be prepared to begin initial assignments within 24-48 hours after completing onboarding.
About the Company
YO IT Consulting supports technology-focused projects by engaging experienced professionals across finance, engineering, research, data, and other specialist disciplines. Its contractor assignments enable subject matter experts to contribute practical industry knowledge to AI evaluation, technical validation, benchmark development, and emerging digital workflows.
Job Type: Contractor
Role Context
The Corporate Finance Expert will apply practical financial management experience to the creation and evaluation of realistic finance scenarios used to assess AI-generated analysis. The role requires strong judgement across forecasting, budget ownership, financial modeling, reconciliations, management reporting, and variance investigation.
Rather than relying on academic finance exercises, the project requires scenarios that reflect the ambiguity, trade-offs, incomplete information, and numerical complexity found in real corporate environments. The expert will define accurate solutions, document assumptions, and establish detailed grading criteria that measure both mathematical correctness and the quality of financial reasoning.
Key Responsibilities
* Create realistic corporate finance evaluation tasks covering budgeting, forecasting, financial modeling, and variance analysis.
* Develop supporting financial artifacts such as budgets, forecast models, reconciliations, P&L schedules, and management reports.
* Build scenarios that reflect real operational and financial decision-making rather than simplified textbook examples.
* Prepare accurate solutions supported by transparent assumptions and defensible financial logic.
* Develop detailed grading rubrics with 35 or more assessment points covering numerical accuracy, methodology, reasoning, and analytical quality.
* Evaluate financial outputs for calculation errors, incorrect assumptions, inconsistent methodology, and weak interpretation.
* Design budgeting scenarios involving departmental spending, cost control, revenue expectations, and resource allocation.
* Build forecasting exercises that incorporate historical performance, assumptions, business drivers, and scenario changes.
* Create financial models that support planning, performance evaluation, and decision-making.
* Perform and interpret variance analysis across actuals, budgets, and forecasts.
* Assess P&L performance and identify the operational or financial drivers behind material movements.
* Incorporate reconciliation and close-related scenarios where balances, transactions, or reporting outputs require validation.
* Translate complex financial datasets into concise conclusions, risks, and actionable recommendations.
* Communicate financial findings and assumptions clearly for review by project teams.
* Maintain precision and consistency across output-based assignments while meeting weekly submission expectations.
Ideal Profile
Candidates should ideally bring at least five years of corporate finance experience with responsibility for a P&L, major departmental budget, or significant financial planning process.
Hands-on experience with budgeting, forecasting, financial modeling, month-end or quarter-end close, reconciliations, and variance analysis is strongly preferred.
The role is best suited to professionals who can move beyond reporting numbers and explain what is driving financial performance, why variances occurred, and what actions management should consider next.
Advanced financial modeling ability and excellent numerical accuracy are essential. Candidates should also be confident working with detailed financial data, identifying inconsistencies, testing assumptions, and converting analysis into clear business recommendations.
Corporate finance experience is preferred over a purely accounting-focused background. Professional credentials such as CPA, CFA, FMVA, or an MBA would be advantageous but are not mandatory.
Skills Set
* Corporate finance
* Financial modeling
* Budgeting
* Forecasting
* Variance analysis
* P&L management
* Financial analysis
* Financial reporting
* Reconciliation
* Financial management
* Numerical precision
* Management reporting
* Budget ownership
* Forecast modeling
* Scenario analysis
* Financial planning
* Month-end close
* Quarter-end close
* Cost analysis
* Revenue analysis
* Profitability analysis
* Financial data interpretation
* Management recommendations
* Financial assumptions
* Evaluation rubric development
* Analytical reasoning
* CPA
* CFA
* FMVA
Why Join Us
This contractor opportunity allows experienced finance professionals to apply real corporate decision-making expertise to the rapidly developing field of AI evaluation. The work draws directly on practical experience with P&L ownership, budgeting, forecasting, financial modeling, reconciliations, and management analysis rather than requiring previous artificial intelligence knowledge.
The project also provides exposure to financial benchmark design, structured evaluation, scoring methodology, and advanced analytical quality assessment. These capabilities are becoming increasingly relevant as AI systems are used more extensively in financial planning, analysis, reporting, and decision support.
Compensation is output-based and paid per approved task, with minimum weekly submission requirements. Selected professionals should be prepared to begin initial assignments within 24-48 hours after completing onboarding.
About the Company
YO IT Consulting supports technology-focused projects by engaging experienced professionals across finance, engineering, research, data, and other specialist disciplines. Its contractor assignments enable subject matter experts to contribute practical industry knowledge to AI evaluation, technical validation, benchmark development, and emerging digital workflows.
