Quantitative Analyst (Quant) – Remote
Job Description
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We are looking for a talented and driven Quantitative Analyst (Quant) to join our innovative team. The successful candidate will apply sophisticated mathematical models, data analysis, and computational techniques to support trading strategies, risk management, and financial forecasting. You will work alongside quantitative researchers, traders, and data scientists to design, implement, and optimize complex models.
Key Responsibilities:
- Model Development: Develop and implement quantitative models for pricing, risk analysis, and trading strategies.
- Data Analysis: Analyze large datasets to extract meaningful market trends and optimize trading strategies.
- Backtesting: Perform rigorous backtesting and performance analysis of financial models.
- Collaboration: Work closely with traders, portfolio managers, and other stakeholders to ensure alignment with business goals.
- Machine Learning & AI: Apply advanced machine learning techniques to enhance model accuracy and forecasting abilities.
- Risk & Compliance: Ensure models adhere to risk management frameworks and regulatory standards.
Qualifications:
- Education: Master’s or PhD in Mathematics, Statistics, Computer Science, Physics, or related quantitative field.
- Technical Skills:
- Proficient in programming languages such as Python, R, MATLAB, or C++.
- Expertise in financial markets, derivatives, and econometrics.
- Strong experience in time-series analysis and statistical modeling.
- Experience:
- At least 2 years of experience in a quantitative finance or data analytics role.
- Proven ability to develop and optimize financial models.
Preferred Skills:
- Familiarity with high-frequency trading (HFT) strategies.
- Advanced knowledge of machine learning and artificial intelligence for predictive modeling.
- Experience in financial instrument analysis, including options and fixed income.
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