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Quantitative Engineer
4 weeks ago
**Summary**
**Responsibilities**:
- Develop quantitative algorithms for portfolio optimization, risk mitigation, and financial modeling.
- Utilize computing techniques such as machine learning and Monte Carlo simulations to enhance market forecasting and trading strategies.
- Research and design algorithms to improve asset allocation, liquidity management, and financial risk strategies.
- Collaborate with investment analysts, data scientists, and financial strategists to integrate solutions into investment platforms while ensuring regulatory compliance.
**Requirements**:
- Hold a Bachelor’s or Master’s degree in Finance, Computer Science, or Mathematics.
- Possess strong knowledge of financial markets, investment strategies, and risk management.
- Be well-versed in at least one asset class, such as equity, fixed income, or high-yield bonds, with a track record in financial research and software development.
- Have familiarity with quantitative analytics, including fund performance measurement, predictive risk modeling, and alpha research.
- Possess strong analytical skills to process large datasets, detect anomalies, and develop innovative financial solutions.
**Benefits**
- Supportive teammates
- Health insurance benefits
- Self development activities that support careers
- Hybrid working arrangement