Software Developer - Quantitative Finance

This position is responsible for developing logic-intensive components of the digital wealth management platform. Works on computational libraries, as well as API services that interact with those libraries and other parts of the platform. The core focus for the position will be on implementing software used in portfolio optimization, Monte Carlo simulations, trading algorithms, financial health scores, and probability assessment models used in developing a wealth management platform.

Responsibilities:

• Develop software for quantitative and portfolio management using Python
• Design/test/maintain/improve the core trading and research applications being developed
• Develop code to extract data from various sources to support development of the models
• Collaborate with team on best practices
• Conduct research on portfolio optimization, perform back test and implement trading models

Requirements:

• 5+ years of software development in a quantitative finance area
• 3+ years of professional experience building large scale applications/APIs in Python
• Bachelor's degree in Economics/Finance/Mathematics, Computer Science, Statistics or other relevant discipline or equivalent experience.
• Strong knowledge of quantitative concepts, including applied statistics
• Experience using analytics libraries and frameworks such TensorFlow, scikit, NumPy
• 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

Nice to have:

• Master’s degree or Ph.D. Preferred.
• Experience with Cloud (AWS or Azure) and containerization is a big plus
• Experience in financial services preferred
• Experience developing financial models in behavioral finance or wealth management
• 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

Benefits:

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities.