Conceptualize, develop, and analyze models for use in quantitative and systematic strategies as well as electronic trading processes. Develop systematic trading strategies across fixed income products, from idea generation and data collection to analysis and model creation. Apply advanced modeling techniques and market knowledge to extract statistical relationships from large, novel, or unconventional data sets. Implement and back test portfolio construction using quantitative methods. Open opportunities to pursue previously unexplored research topics. Work with fixed income markets, including corporate credit modeling; Python; Matlab; C++; applied statistics, linear algebra, and calculus; mathematical models; and translating algorithms into code. Requirements: Master’s degree in Computational Finance or a related field of study, plus two (2) years of experience in any job title/occupation/position involving fixed income markets, including corporate credit modeling; Python; applied statistics, linear algebra, and calculus; mathematical models; and translating algorithms into code. Salary range: $120,000.00 - $165,000.00 per year.

　　Minimum Salary: 120000Maximum Salary: 165000Salary Unit: Yearly