Quantitative Analyst

About Magnetar

Magnetar is a leading, global alternative asset manager with over $13.1B AUM as of Quarter 1 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, London and Houston.

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

The Quantitative Analyst will perform detailed analysis on a variety of core initiatives, on behalf of the Office of the COO, to drive operating efficiencies and decisions across our multi-strategy hedge fund. The Analyst will utilize key skills including communication, research, desk support, computational finance, modeling, and business analysis. The position will require having advanced proficiency in Microsoft Excel, Python, and other automation technologies, based on project requirements.

In addition to solid academics, quantitative skills and work experience, the ideal candidate will possess a high level of intelligence and drive coupled with an ability to work both independently and in multi-disciplinary teams toward specific objectives. He or she has an optimistic attitude with a willingness to contribute however and wherever possible and seeks out an environment with the potential to rapidly assume additional challenges and responsibility based on performance.

Responsibilities

• Develop in-depth operational knowledge of various proprietary and third-party analytic models

• Demonstrate knowledge of financial and computational methodologies pertaining to analytic models

• Evolve Portfolio Optimization and cash flow capabilities

• Collaborate with team members to develop prototype analytic models

• Effectively facilitate communication and work cross functionally with business SMEs and IT Application Development Group

Qualifications

• Master's degree in a quantitative field such as Physics, Mathematics or Quantitative Finance with a strong academic performance record preferred. Undergraduate degree in mathematics, statistics, physics or other related fields will be considered

• 2-3 years' of work experience in the financial industry

• Strong financial modeling skills; advanced proficiency in Microsoft Excel and VBA required

• Knowledge of C#, C++, Java, Python and/or MATLAB is helpful, but not required

• Excellent communication skills (verbal and written) and presentation skills

• A strong sense of ownership, obligation, and personal accountability

• Experienced working in a team environment under pressure situations with short deadlines

• Ability to work in a fast-paced environment and be proactive

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.