Seeks quantitative researcher to lead development of sophisticated quantitative trading models and predictive signals, directing the integration of advanced statistical methods with traditional financial theory, making final architectural decisions on strategy implementation and risk frameworks.
Requirements:
Requires MS (US or foreign equivalent) in Finance, Economics, Statistics, Mathematics, Computer Science, or related field & 1 year of experience in position offered or related role. All required experience must include:
- Quantitative research & systematic trading strategy development
- Developing & implementing sophisticated evidence-based strategies
- Utilizing knowledge of statistical modeling & machine learning techniques and their applications to financial markets
- Quantitative trading strategies & portfolio optimization
- Developing novel quantitative trading strategies, risk models, & portfolio optimization frameworks
- Risk attribution, transaction cost analysis, & strategy optimization
- Designing & directing implementation of large-scale quantitative research infrastructure
- Making architectural decisions for complex trading systems & technical frameworks
- Establishing coding standards & best practices for system development
- Utilizing knowledge of transaction cost modeling & its impact on strategy performance
- Proficiency in Python, R, & SQL
Role entails hybrid work with time split between work environment in Boston, MA office & flexibility to telecommute from another U.S. location.
Application:
E-mail resume to hr@walleyecapital.com.
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