Financial statement & ratio analysis
Income statements, balance sheets, cash flow, profitability, liquidity, leverage, efficiency, quality of earnings, and normalisation.
Investment analysis skill assessment
Assess financial statements, valuation, DCF, relative multiples, market and industry research, security analysis, portfolio construction, risk-return thinking, investment theses, and performance measurement.
Skill signals
Measure how candidates interpret financial information, value securities, assess markets and risks, construct portfolios, and communicate evidence-based investment recommendations.
Income statements, balance sheets, cash flow, profitability, liquidity, leverage, efficiency, quality of earnings, and normalisation.
Forecasting cash flows, discount rates, terminal value, WACC, sensitivity analysis, assumptions, and valuation-range interpretation.
Comparable companies, precedent transactions, P/E, EV/EBITDA, EV/Sales, P/B, growth adjustments, and multiple selection.
Macroeconomic drivers, industry structure, competitive position, business models, management quality, catalysts, and research synthesis.
Equities, fixed income, funds, credit quality, duration, yield, instrument features, return drivers, and security-specific risks.
Asset allocation, diversification, correlation, concentration, benchmark choice, rebalancing, constraints, and portfolio fit.
Volatility, downside risk, beta, Sharpe ratio, alpha, drawdown, benchmark-relative performance, attribution, and risk-adjusted returns.
Recommendation structure, evidence, valuation support, catalysts, key risks, monitoring triggers, scenario analysis, and practical judgement.
Assessment flow
Run a consistent assessment with realistic valuation and portfolio cases, structured scoring, and decision-ready reports.
Choose asset class, market, role level, analytical depth, benchmark, time limits, and scenario difficulty.
Candidates analyse statements, value a security, compare alternatives, assess risk, construct a portfolio, and write a recommendation.
Score numerical accuracy, assumptions, valuation logic, research quality, risk thinking, portfolio judgement, and communication.
Compare competency breakdowns, calculation accuracy, scenario decisions, response quality, and evidence-based recommendations.
Score breakdown
Use cases
Evaluate statements, valuation, market research, investment theses, risk analysis, and recommendation quality.
Assess candidates who compare securities, construct portfolios, monitor risk, interpret performance, and communicate investment decisions.
Identify candidates with numerical accuracy, research discipline, commercial awareness, risk thinking, and evidence-based judgement.
Use realistic investment-analysis tasks, automated evaluation, and explainable score reports to improve research, asset-management, portfolio, and finance hiring.
Use structured tasks, automated evaluation, and clear reports to shortlist stronger engineering candidates faster.