Company Overview Susquehanna International Group, LLP (SIG) is a global multi-strategy trading and investment firm headquartered in Suburban Philadelphia.

Our team of approximately 1,500 employees spans the globe, including offices in Bala Cynwyd, Boston, Chicago, New York, Philadelphia, San Francisco, Stamford, and internationally in Dublin, Sydney, and Shanghai.

Our growth is unprecedented, yet we maintain the small-firm culture that has been the hallmark of our organization since its inception in 1987.

In order to ensure that we remain one of the leading participants in world markets, we aggressively recruit talented, team-oriented and entrepreneurial candidates from diverse backgrounds.

This philosophy has led some of the smartest, most competitive and creative people to join our firm, making us a market leader and fueling our continued expansion.

Once onboard, our employees have a multitude of professional development opportunities available to them.

From formal training programs led by our Education Department to Colleague to Colleague mentoring, our employees are able to maximize the training opportunities within our firm to define the career paths that best suit their personal and professional needs.

If you are looking to join an organization whose dynamic infrastructure and advanced technology challenge the mind and encourage teamwork, look no further.

Additional information can be found on our website, www.sig.com. Job SummaryUnprecented growth and business expansion requires the addition of a Quantitative Research Associate covering the Energy trading class.

SIG's superior Quantitative Research Team works with traders and software engineers in the development, testing, and installation of pricing models and technical tools.

As precise indicators of any security's "true" value, these highly complex models are the roadmap for SIG's daily trading activities.

Quantitative Research Associates apply their considerable mathematical skills in areas such as probability and statistics, stochastic processes, numerical analysis and optimization to the construction of models essential to trading derivatives.

In addition, the research team has developed and implemented computer based trading systems that successfully execute sophisticated large-scale strategies independent of human interaction.

Qualifications & SkillsPhD in mathematics, physics, statistics, computer science, electrical engineering or related fields At least two years of hands-on experience in model development and quantitative research for an Energy trading desk ( eg power, natural gas, coal/ emissions, etc.) Strong programming skills in C++ and Matlab or Python Experience in OOP, VB and Excel desirable A working knowledge of derivatives pricing theory is desirable Experience in data and time series analysis preferred Securities industry experience a plus Must possess excellent oral and written communication skills SALARY/BENEFITS: At SIG, our employees are our most valued assets.

In order to ensure that we remain an employer of choice, we offer a superior compensation package that includes a base salary, commensurate with experience, as well as an annual performance bonus.

Unlike many similar firms, our bonuses have been paid out every year since we began operations.

In compliment with our compensation package, we offer a variety of competitive benefit programs that demonstrate our commitment to our dynamic workforce.

These programs have been designed to provide protection and peace of mind for our employees and their families.

A brief summary of our benefits include the following: Considerable Paid Time Off Medical, dental, vision and prescription coverage Company paid short-term disability, long-term disability and life insurance coverage Tax savings plans such as Flexible Spending Accounts, 529 College Savings Plan, 401(k) with company match and Commuter Transit Benefits Tuition Reimbursement Generous Relocation Assistance (on a per case basis) Free breakfast and lunch catered daily Free on-site fitness center Casual Attire Free on-site parking

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