Vacancy expired!
- This role is with the Fixed Income Quant Development Team. The key to role is finding candidates with recent, hands-on C experience. Candidates should have experience with C, version 11/14. Skills in order of priority are – C, Linux, Python scripting, strong mathematic/algorithm background.
- CLIENT’s Asset Management Technology Division is seeking a Principal Quant Developer to join their Fixed Income Quant Development Team. This is a core software engineering role in our dynamic and fast-paced quantitative development team. You will be ‘embedded’ within the quantitative research team and you will partner with the investment teams on various projects including portfolio construction, risk management, and alpha research. You will build high quality, robust, and efficient analytical solutions that will be used to improve Fixed Income’s investment processes.
- This role impacts the organization by improving the quality and time-to-market of Research initiatives through a combination of both analytical and software development skillsets. The assignments will include gathering the ideas, conceptualizing them through a programming language, and creating a packaged solution that can be used by the investment professionals.
- Bachelor’s (Masters preferred) in a quantitative or computational field such as Computer Science, Applied Mathematics, Statistics, Engineering
- Over 10 years professional experience in a quantitative/computational environment
- Full-stack software development knowledge and critical thinking skills to design efficient solutions for computing fixed income security level analytics
- Strong software engineering skills using C and Linux preferably in a command line environment
- Experience in Python, shell scripting, SQL is desirable
- Ability to communicate effectively with multiple partners, including fundamental and quantitative researchers and technologists
- Applying analytical and quantitative concepts to support investment needs and develop new solutions
- Adding scale, rigor, and repeatability to research through software development standard methodologies
- Assisting the research teams in developing new models and products that will provide an advantage to the organization in the marketplace
- Trusted technical partner who collaborates closely with quantitative investment research teams to co-develop, validate, and implement new research ideas with proof-of-concept, prototype, and production solutions
Vacancy expired!