Quantitative Developer
Apply NowCompany: CERES Group
Location: Boston, MA 02115
Description:
About the Opportunity
We are seeking a Quantitative Software Developer to work with our Quantitative Research Group and Quant production environment group.
Responsibilities include managing the production environment for the firm's quantitative models, developing and integrating new models.
The Quantitative Software Developer will work in support of both the Quant Research Group and the Institutional Portfolio Management Team.
Responsibilities include:
Preferred Qualifications
Technical Competencies
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We are seeking a Quantitative Software Developer to work with our Quantitative Research Group and Quant production environment group.
Responsibilities include managing the production environment for the firm's quantitative models, developing and integrating new models.
The Quantitative Software Developer will work in support of both the Quant Research Group and the Institutional Portfolio Management Team.
Responsibilities include:
- Monitoring and maintaining all aspects of the firm's quantitative production environment, including the code base for proprietary models and tools.
- Integrating new models and tools to aid the portfolio management process.
- Managing process improvements.
- Testing and documenting code for various applications.
- Assisting in model validation and model research.
Preferred Qualifications
- Bachelor's degree in computer science, engineering, mathematics or other quantitative discipline.
- Over three years of experience in software development and design, preferably in finance or an area that requires the application of statistical analysis.
- Ability to quickly and independently learn modeling approaches and methodologies.
- An interest in financial theory, markets and the investment business. An understanding of performance measurement/reporting, accounting methods and investment operations are a plus.
Technical Competencies
- Development experience in C/C++, C# or Java is required. Experience with dynamic languages (e.g. Python) and web frameworks (e.g. ASP.NET) are a plus.
- Experience with a statistical language/package such as R, S-PLUS, MATLAB, SAS, STATA, etc. A strong background in R is a plus.
- Experience in SQL.
- Proficient in Excel, including VBA.
- Familiarity with financial data tools (e.g. FactSet, Bloomberg) and modeling/optimization tools (e.g. ClariFI, Northfield, Barra, Axioma, etc) is a plus.
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