Magnetar
Alternative Asset Management
QuantitativeInvestmentAnalyst
“Quantitative Investment Analyst at Magnetar. Skills: Quantitative analysis, Financial modeling, Python, Risk management. Research, develop, and back-test quantitative arbitrage strategies. Analyze large datasets to identify and validate alpha signals”
What You'll Achieve.
generate consistent performance for our investors; identify and validate alpha signals; implement strategies within the portfolio; proposing enhancements as market conditions evolve; enhance research automation, alternative data processing, and investment decision support
Industry & Context.
identifying creative solutions to complex problems; translate research findings into actionable investment insights
What They're Looking For.
Must Have
Bachelor's or advanced degree in Mathematics, Statistics, Engineering, Computer Science, Finance, Economics, or a related quantitative field, 3–5 years of direct, hands-on experience at a hedge fund or institutional buy-side or sell-side firm, with meaningful exposure to a quantitative strategy desk, Demonstrable first-hand knowledge of Risk Arbitrage, quantitative and analytical proficiency in Python, R, MATLAB, or similar programming languages, Solid understanding of financial concepts including portfolio theory, risk/return frameworks, financial instruments, and market dynamics across asset classes, Applicants must be authorized to work in the United States without the need for employer sponsorship
Nice to Have
CFA charterholder preferred, Familiarity with applied AI/ML techniques in a financial context, experience fine-tuning large language models (LLMs), developing agentic workflows to automate research, data extraction, or investment processes
What You'll Do.
and back-test quantitative arbitrage strategies
Analyze large datasets to identify and validate alpha signals
Partner with portfolio managers to translate research findings
Monitor and evaluate ongoing performance of quantitative models
Stay current on developments in quantitative finance
Design and deploy AI-powered tools
How You'll Work.
Team & Collaboration
Collaborate closely with portfolio managers and researchers; Collaborate cross-functionally with technology, risk management, and operations teams
Communication Scope
Excellent communication skills; translate complex quantitative analysis into clear, actionable insights
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