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Analytics Developer

Quantitative Risk Management (QRM) is looking for a talented, motivated individual to assist with maintaining and enhancing our Risk Framework™, which our clients leverage to perform sophisticated calculations on their balance sheets. The Analytics Developer will participate in improving our models, developing and implementing new algorithms, and extending our infrastructure to efficiently distribute large-scale computations. The position may also involve related technical tasks such as working with large data sets and enhancing user interfaces.
The Analytics Developer will collaborate with other top-caliber software engineers, in a goal-oriented and supportive environment where teamwork is highly valued. Opportunities for technical career advancement abound. Our work environment facilitates continuous learning, including in all areas of finance and risk management, and supports employees eager to channel their creativity into innovative software development.
We provide a highly competitive compensation and benefits package. No travel is required.
Here is how to apply:

  • Visit http://www.qrm.com/careers/careers.htm.
  • Click on the resume submission link.
  • Fill out all required fields.
  • Select Yes when responding to the question, “Did you find this position through a job ad?”
  • Choose AD as the Job Code.
  • Attach your resume and cover letter, and click Submit.

QRM will strongly value candidates with a breadth of knowledge in mathematics—from Lebesgue integration to second-order cone programming. An interest in applying mathematical concepts to finance is required, though knowledge in this area can be gained on the job. The Analytics Developer must also have a passion for programming, particularly in terms of meeting challenges raised by new problems. The position requires a good understanding of object-oriented analysis and design, solid coding and debugging skills, and proficiency in an object-oriented language such as C#, Java, or C++. Additionally, we are looking for candidates interested in functional programming and tools such as Camlp4.
Qualified candidates will demonstrate the ability to think creatively and independently about quantitative problems, as well as the desire to apply mathematical theory in practice and render it readily usable to non-specialists. Strong verbal and written communication skills are essential to this position, which involves working closely with other developers, financial analysts, and managers as a team.
A bachelor's or master’s degree in some quantitative discipline is required.