About Magnetar
Magnetar is a leading global alternative asset manager with over $18.6B AUM as of September 30, 2024. We are based in Evanston, IL—just north of Chicago and easily accessible by the “L”—with additional offices in New York, London and Menlo Park, CA.
Grounded in two decades of investing experience, we aim to generate consistent performance for our investors by identifying differentiated investment opportunities and building scalable businesses across our core strategies: Alternative Credit and Fixed Income, Systematic Investing, and Venture.
This year, we proudly celebrate our 20th anniversary—a testament to our legacy of innovation, expertise and commitment to our clients and team.
Magnetar employees are among the best in the business at what they do. Our employees thrive on intellectual curiosity, collaboration and identifying creative solutions to complex problems. Our team is made up of highly skilled, passionate professionals who care deeply about delivering results for our investors, our firm and one another. We are proud to foster an inclusive, welcoming environment that empowers each employee to succeed.
At Magnetar, our commitment to our employees matches our dedication to our work. We offer top-tier benefits including comprehensive health, dental and vision insurance, a 401k match, competitive paid time off, wellness programs, daily lunches, and professional development through Magnetar University. We are also passionate about giving back, supporting financial education and community engagement through our Foundation and various volunteer initiatives.
We hope you’ll consider joining us as you explore a career at Magnetar!
Position Overview
We are seeking a Quantitative Desk Analyst in our Evanston office to join the Systematic Investing team. The analyst will be responsible for a variety of research and trading elements associated with the business’ systematic investment strategies, working within a variety of markets, instruments and strategies. The ideal candidate will have experience in empirical finance and quantitative style trading and familiarity with quantitative techniques such as factor modeling and portfolio optimization. The candidate needs to be a team player with excellent communication skills, and able to perform and excel in a fast-paced environment.
Responsibilities
- Trade execution and portfolio monitoring, including the identification of aberrations for exploration and ultimate resolution.
- Perform series of data quality checks on a pre-open and early open basis in addition to continuing ongoing monitoring throughout the day.
- Broad statistical and exploratory analysis on data sets under consideration for more fulsome research and development.
- Develop and maintain data pipelines in support of the business’ investment strategies.
- Back-test and optimize strategies using historical data to ensure robustness and reliability.
- Continuously evaluate and improve existing trading models and strategies.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or related technical fields. 1-2 years of work experience is acceptable; 2-5 years of work experience is preferred
- Proven experience in quantitative trading or a related field, including familiarity with associated workflows and algorithms
- Excellent analytical and problem-solving skills
- Proficiency in statistical analysis, mathematical modeling, and machine learning techniques
- Experience with factor modeling and portfolio optimization
- Familiarity with reading, interpreting, scripting and data processing using Matlab and Python
- Ability to work independently or as part of a team
- Ability to work in a high functioning environment
The annual base salary range for this position is $75,000 to $140,000 USD. The actual base salary will depend upon the candidate’s relevant experience, qualifications, skills, business needs and market. This role may be eligible for a discretionary bonus and if awarded is based on a variety of factors including firm and individual performance.
Disclaimer
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
