Python Analytics Developer

Analytics Developer, Hybrid 3~4 days in-office 8am 4pm CST workday. Nashville 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. 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)

• Automated Proposals (cash funded proposals/model portfolios via Service Center)
• Trade Rationales (unparalleled transparency for advisors into SMA trading activity and benefits)
• Transition Scorecards (proactive touch point summarizing onboarding process and portfolio changes/benefits** )

• 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 ]++

• 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.