Mandatory Skill: Portfolio Optimization exp is must
Required Qualifications:
- Masters Degree or equivalent experience
- 5 years of software development in a quantitative finance area
- 3 years of professional experience building large scale applications APIs in Python
Additional Qualifications:
- Masters degree in Economics Finance Mathematics Computer Science Statistics or other relevant discipline PhD preferred
- 7 years of relevant experience in a quantitative finance area
- Strong knowledge of quantitative concepts including applied statistics
- Experience using analytics libraries and frameworks such TensorFlow Scikit NumPy
- Familiarity with and ability to apply the following concepts to solve data problems natural language processing machine learning conceptual modelling statistical analysis predictive modelling and hypothesis testing
- Strong problem solving skills
- Knowledge of or interest in personal finance economics
- Experience with algorithm design or development
- Experience working with RESTful APIs
- Experience with Python API frameworks like Django Flask
- Experience with containerization is a big plus
- Experience in financial services preferred
- Experience developing financial models in behavioral finance or wealth management
Mandatory Skill: Portfolio Optimization exp is must Required Qualifications: Masters Degree or equivalent experience 5 years of software development in a quantitative finance area 3 years of professional experience building large scale applications APIs in Python Additional Qualifications: Mas...
Mandatory Skill: Portfolio Optimization exp is must
Required Qualifications:
- Masters Degree or equivalent experience
- 5 years of software development in a quantitative finance area
- 3 years of professional experience building large scale applications APIs in Python
Additional Qualifications:
- Masters degree in Economics Finance Mathematics Computer Science Statistics or other relevant discipline PhD preferred
- 7 years of relevant experience in a quantitative finance area
- Strong knowledge of quantitative concepts including applied statistics
- Experience using analytics libraries and frameworks such TensorFlow Scikit NumPy
- Familiarity with and ability to apply the following concepts to solve data problems natural language processing machine learning conceptual modelling statistical analysis predictive modelling and hypothesis testing
- Strong problem solving skills
- Knowledge of or interest in personal finance economics
- Experience with algorithm design or development
- Experience working with RESTful APIs
- Experience with Python API frameworks like Django Flask
- Experience with containerization is a big plus
- Experience in financial services preferred
- Experience developing financial models in behavioral finance or wealth management
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