Risk Expert - Risk Strategy & Analytics - Credit
Monee’s credit analytics specialist designs and evaluates lending-risk strategies. Work covers underwriting, limits, risk-based pricing and experiments that assess portfolio outcomes.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Develop underwriting and credit-limit policies
- Analyse risk and profitability across loan cohorts
- Track indicators for deteriorating credit performance
- Run experiments to evaluate strategy changes
What they ask for
Required
- Three or more years of quantitative work
- Large-dataset analysis
- A/B-test experience
- SQL and Python
- Excel
- Quantitative reasoning and communication
- Education
- Bachelor or master qualification in a quantitative or closely related discipline.
- Experience
- At least three years of quantitative experience; finance or credit exposure is advantageous.
- Languages and tools
- Markets
- credit
How to prepare
- Analyse credit losses and profitability by loan cohort
- Design an experiment for a changed credit limit
- Build data checks for an underwriting-performance report
What to study
- Quantitative Risk Management
- Probability, Statistics and Financial Data
- Event Studies and Causal Measurement in Finance
The Risk Quant roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Monee SG Private Limited’s site before applying: requirements, location and pay can change after we check them.
View the posting on Monee SG Private Limited’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Monee SG Private Limited and doesn’t handle applications.