Financial Engineer

Next Step Systems is an executive recruitment firm specializing in placing information technology professionals in permanent full-time positions throughout the U.S. This includes software, hardware, networking, storage, database, web, sales, sales support and all levels of I.T. management.

The role of Financial Engineer within the Portfolio Construction IT team will work closely with members of Quant Research and the Senior Risk Managers. Key responsibilities will be to provide support and development of risk applications across multiple business lines and aggregated firm level risk. You will utilize primarily C++ and Python to enhance and develop algorithms and models, as well as optimize, monitor and troubleshoot system issues. Development focus will be on portfolio construction and risk management modules.

* Be responsible for the development and deployment of new risk analytics and models. * Provide application and analytics support to Quantitative Researchers, Risk Managers and Traders. * Implementation and production of the prototype models developed with Quant Researchers. Maintain and enhance existing risk and portfolio construction analytics for multi asset portfolio(s). * Develop new financial analytics functions using advanced mathematical skills and business knowledge to support Quant Researchers’ need to analyze new products, enhance risk management, and or pricing functionality. * Validate and test new risk analytics, valuation models, and optimization methodologies. * Perform ad-hoc data acquisition, analysis, and reporting tasks to support pricing and risk management decisions. * Interact with both internal and external group members and business users to help further understanding these new models in the business applications.

**Qualifications:** * 3-5 years experience in system analysis, design and programming in C++, Python, and UNIX scripts with strong emphasis in numerical programming. * Experience in UNIX, database, Scripting (Perl/Python), MatLab/R. * M.S. in engineering or computer science. * Demonstrated analytical and problem solving skills required. * Demonstrated interpersonal, organizational and communication skills required. * Education: Masters Degree in engineering or computer science. PhD preferred. **Personality characteristics:** * Passion for solving investment business problems through the use of technology and fundamentals * Strong interpersonal and communication skills * Strong critical reasoning skills * Detail-oriented approach to solving problems * Enthusiasm for learning & results oriented * Strong work ethic & high degree of integrity * Self starter that demonstrates a strong sense of ownership, execution, and ability to work and deliver results with minimal supervision