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Mid-level Quantitative Analyst
2 weeks ago
The incumbent will use their analytical, statistical, and programming skills to collect, analyze and interpret large data sets to provide insights and data-driven solutions to solve difficult and strategic business challenges.
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Requirements:
- Honour's degree in a mathematical, statistical, or actuarial field
- Requires 2 plus years' experience
- Pricing OR Valuations OR Actuarial Discounting
- SAS (Base, Enterprise Guide, and Enterprise Miner)
- Python advantageous
- Excel
Responsibilities:
- Accurately value and price various NPL and credit portfolios in the market across various products, sectors and clients
- Backtest of pricing models to ensure accuracy
- Provide detailed insights into each potential portfolio acquisition
- Continuous refinements in the pricing methodologies
- Ensure the latest mathematical and statistical techniques are always used
- Setting targets and benchmarks for each purchased debt book (PDB).
- Monitor performance against investment decisions
- Propose corrective action to operational environment
- Reporting
- Governance around the models and methodologies
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