Python Developer
Connvertex Technologies Inc.
Technical Skills:
Strong knowledge of the 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?
2. Speak about your approach to Object-oriented programming/performance optimization and data structure selection in your coding.
3. Usage of NumPy / Statistical Analysis and any type of Linear Algebra experience (usage of matrices, optimization [minimize], interpolation).
4. 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)
Type of Quant/Algo/Analytic Software to Develop
- Automated Transition Analysis (real-time transition from existing bonds to Client portfolios via Service Center)
- 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)
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