Sr. Quantitative Engineer

Sr. Quantitative Engineer My client is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, client brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries. 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.

Experience using analytics libraries and frameworks such TensorFlow, Scikit, NumPyFamiliarity 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 APIsExperience 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.