Related skills
python excel powerpoint bloomberg factset📋 Description
- Construct and optimize asset portfolios for reinsurance blocks and retail products.
- Develop asset allocation models with regulatory capital, duration, and cash flow.
- Support pricing by modeling allocations and expected returns for proposed transactions.
- Enhance ALM framework for deal evaluation and portfolio construction.
- Develop attribution frameworks for performance by asset class, duration, credit quality.
- Analyze market impacts including interest rates, credit spreads, and equity volatility.
🎯 Requirements
- Bachelor's degree required; Master’s/PhD preferred in quantitative fields.
- 0–3 years in fixed income portfolio management or quantitative research.
- Strong Python proficiency (required).
- Experience with large datasets and quantitative methods.
- Proficiency in Excel and PowerPoint.
- Familiarity with Bloomberg, FactSet, or risk systems (MSCI/Barra) a plus.
🎁 Benefits
- Equal opportunity employer; diversity and inclusion commitment.
- Reasonable accommodations available during application/interview.
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