Quantitative Trader Specialist
4 days ago
About Firesoft People:
We are a dynamic team passionate about data-driven insights and cutting-edge technology. Our mission is to empower investment professionals worldwide through innovative solutions.
Role Overview:
As a Quantitative Trader, you'll collaborate with experts to unlock the power of data, build robust models, and drive informed investment decisions.
Responsibilities:
- Trading Strategy Development: Design and implement quantitative models for pricing, risk assessment, and portfolio optimization.
- Data Analysis: Dive into vast datasets, uncover patterns, and identify actionable insights.
- Algorithmic Trading: Develop and enhance trading strategies using statistical techniques and machine learning.
- Backtesting and Validation: Rigorously test models and strategies to ensure their effectiveness.
- Collaboration: Work closely with traders, portfolio managers, and technology teams to translate insights into profitable strategies.
- Research and Innovation: Stay abreast of industry trends, contribute to research, and propose novel approaches.
Key Qualifications:
- Advanced Degree: Master's or Ph.D. in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science).
- Strong Coding Skills: Proficiency in Python, R, or similar languages.
- Financial Acumen: Understanding of financial markets, derivatives, and risk management.
- Quantitative Techniques: Experience with time series analysis, stochastic calculus, and optimization.
- Problem-Solving Mindset: Ability to tackle complex problems and think critically.
- Team Player: Collaborative spirit and excellent communication skills.
What We Offer:
- Cutting-Edge Environment: Work with state-of-the-art tools and technologies.
- Global Impact: Influence financial markets on a global scale.
- Learning Culture: Continuous learning and development opportunities.
- Diverse Community: Join a team of brilliant minds from diverse backgrounds.
- Competitive Compensation: Estimated $120,000 - $180,000 per year, attractive bonuses, and benefits.
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