About Magnetar
Magnetar is a leading, global alternative asset manager with over $17.4B AUM as of Quarter 2 2024. Grounded in nearly two decades of investing experience, we focus on delivering positive outcomes for our investors by seeking to generate consistent performance across a variety of market conditions through our core businesses: Alternative Credit and Fixed Income, Healthcare and Systematic Investing. We are based in Evanston, IL with additional offices in New York and London.
Magnetar employees are among the best in the business at what they do. We attract highly skilled, dedicated professionals who enjoy collaborating and implementing innovative ideas. Our employees have an intense level of intellectual curiosity, a profound passion for our work and care deeply about delivering results for our investors, the firm and for each other. We work hard to foster an inclusive and welcoming environment where employees are empowered to thrive.
We are purposeful about investing in our employee’s health, well-being and firm culture. When you work at Magnetar, you will receive premier health care benefits, eligibility to enroll in a 401(K) savings program with employer match, unlimited PTO, lunch onsite, access to mental and physical wellness programs, the opportunity to participate in employee affinity groups with curated programming and networking events, and much more.
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
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.
