Overview
What this challenge is about.
Backtest a gilt vs corporate-bond spread strategy with realistic costs and volume caps, then earn a verifiable certificate.
The scenario
The client is a privately held, sub-500-million-pound hedge fund based in London that runs a single fixed-income relative value book trading UK sterling instruments. The desk has a one-month conviction that the gilt-to-corporate yield spread will compress, but the portfolio manager will not allocate capital until the idea survives a costed, liquidity-aware backtest.
The Brief
What you'll do, and what you'll demonstrate.
Can a relative value strategy that bets on a narrowing yield spread between 10-year UK gilts and 10-year AA-rated corporate bonds deliver consistent risk-adjusted returns after realistic transaction costs and liquidity limits?
Earning criteria — what you'll demonstrate
- Translate a directional market view on yield spreads into precise, testable long-short trading rules
- Build a backtest that charges realistic transaction costs and respects liquidity constraints from observed trading volume
- Compute and interpret core risk-adjusted performance metrics including Sharpe ratio and maximum drawdown
- Assess strategy robustness by comparing performance across calm and stressed market regimes
- Communicate a quantitative trading recommendation to a portfolio manager with evidence and clear caveats
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Fixed Income Arbitrage
Apply fixed income arbitrage to solve real industry problems and demonstrate production-level capability.
- Yield Spread Analysis
Apply yield spread analysis to solve real industry problems and demonstrate production-level capability.
- Backtesting
Apply backtesting to solve real industry problems and demonstrate production-level capability.
- Python Or R
Apply python or r to solve real industry problems and demonstrate production-level capability.
- Risk Metrics
Apply risk metrics to solve real industry problems and demonstrate production-level capability.
- Transaction Cost Modeling
Apply transaction cost modeling to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
Quantitative Analyst, Fixed Income
This challenge mirrors the daily work of a fixed-income quant: forming a spread view, coding a costed backtest, and defending a capital recommendation to a portfolio manager, which is exactly how desk hires prove they can move from idea to deployable strategy.
This challenge sharpens
- fixed-income-arbitrage
- backtesting
- risk-metrics
Systematic Trading Researcher
Systematic researchers design and validate rule-based strategies under realistic frictions. Building a liquidity-aware, cost-charged backtest and reporting its risk-adjusted return is the core competency these teams screen for when hiring.
This challenge sharpens
- yield-spread-analysis
- backtesting
- transaction-cost-modeling
Risk Analyst, Trading Desk
Desk risk analysts stress strategies and challenge return claims. Measuring Sharpe and drawdown across calm and stressed regimes, then judging whether the edge survives costs, is the exact analytical lens this role applies to live and proposed books.
This challenge sharpens
- risk-metrics
- transaction-cost-modeling
- yield-spread-analysis