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SAE is seeking a candidate passionate about quantitative equity portfolio management. The candidate will become a member of the Global Mid Horizon (Statarb) investment team (horizon 1 day to 1 month), responsible for delivering innovative signal research and positively impacting portfolio management functions, with the ultimate aim of delivering consistent alpha to clients.
Job Responsibility:
Developing and maintaining mathematical, computer models and methodologies that support asset management activities such as predicting security returns and constructing portfolios
Performing rigorous research and simulation to validate model design choices and calibration of key parameters
Proposing new security selection strategies to colleagues and internal business partners
Portfolio rebalance and trade list generation, ensuring consistency with model insights and market environment
Analyzing performance to understand model and risk factor contributions to returns
Identifying and monitoring factor exposures and event risks and evolving our process to systematically manage emerging factors
Evaluating and improving model design, portfolio construction and overall implementation approach
Requirements:
Interpersonal skills that contribute to and foster a culture of teamwork and knowledge sharing
Willingness to produce high quality work in a demanding, fast-paced environment
Excellent verbal and written communication, and relationship-building skills
Detail-oriented, team-oriented and self-motivated
Degree in a quantitative field preferred (e.g. finance/economics, computer science, engineering, math, etc.)
Relevant quantitative experience in the investment management industry (2-5 years of experience)
Experience in equity, fixed income and / or commodity assets classes
Knowledge or experience working with intraday market data
Strong understanding of statistical and machine learning concepts and practical experience working with large data sets
Experience with Unix OS and large-scale distributed computing platforms (e.g. AWS, GCP, Azure)
Proficient in use of databases (e.g. SQL, Redshift, BigQuery), and data science programming languages (e.g. Python)
Nice to have:
Expertise or experience in market microstructure and capital markets would be advantageous.
What we offer:
Retirement investment and tools designed to help you in building a sound financial future
Access to education reimbursement
Comprehensive resources to support your physical health and emotional well-being