Python Analytics Developer Onsite Nashville, TN

Call me at 646-876-9536 if you are the real candidate (and not 3rd party salesperson) as BOTS are sending resumes by the hundreds without reading the job description. Seeking US Citizens or Permanent Residents/Green Card holders as client may wish to convert to full-time in the future. Kindly do not send resume if you have to work corp to corp through a 3rd party. Unable to accept H1B, H4-EAD, OPT, CPT due to full-time conversion possibility. You can relocate from any state to work in Nashville, TN from day 1. Title: Python Analytics Developer, Hybrid 3~4 days in-office 8am – 4pm CST workday. Nashville, TN on-site (People who will relocate to TN will work) Hybrid 3~4 days in-office 8am – 4pm CST workday. Job Role: Create and refine quant algorithm scripts in Python to solve complex financial problems. Close to a Data Science Engineer type of role. Technical Skills: • Strong knowledge o f Python programming language and its frameworks, with a focus on back-end development. • Knowledge of software development principles and Object-Oriented development and design patterns ( C# experience a plus) • Experience with back-end technologies such as Oracle, SQL Server, .NET, REST API, microservices, etc. • Understanding of parallel programming concepts and packages – parallelization/multiprocessing/cloud . • Working experience/knowledge of Azure is a plus (CI/CD, Kubernetes, Data Factory, Containers/Pods/Docker, [ AWS is ok - Azure equivalent ] Quantitative and Analytical Skills: • Strong mathematical and statistical skills, with the ability to apply them to develop financial algorithms. • Experience in developing and optimizing quantitative algorithms for financial applications. • Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex problems. • Ability to troubleshoot and optimize existing analytics solutions for improved performance. Pre-screening interview video (5-10 min long) 1. What is your experience with Pandas/DataFrame manipulation – what techniques do you use for data gathering/cleaning/storing? 1. Speak about your approach to Object-oriented programming / performance optimization and data structure selection in your coding. 1. Usage of NumPy / Statistical Analysis and any type of Linear Algebra experience (usage of matrices, optimization [minimize], interpolation). 1. What is your level of involvement in the SDLC beyond just writing code – QA, unit testing, deployment, scalability in PROD Investment Product - Tax Advantaged Taxable Bond SMAs (differentiate our Taxable SMAs with an industry first systematic tax optimization for taxable bonds) - Capacity to develop additional Taxable SMA products (potentially offshore solutions, completion fund products, non-USD, etc)