Title: Analytics Developer, 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.
About the company
Company website•Software Development
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