Python Developer
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Pay: $70 - 90/hour corp to corp depending upon expertise and years worked
Location: Nashville, TN (Hybrid 3~4 days in-office 8am - 4pm CST workday.)
Duration - 12+ Months
Interview process: 3 Video interviews.
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 ]
- 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)
- What is your experience with Pandas/DataFrame manipulation - what techniques do you use for data gathering/cleaning/storing?
- Speak about your approach to Object-oriented programming / performance optimization and data structure selection in your coding.
- Usage of NumPy / Statistical Analysis and any type of Linear Algebra experience (usage of matrices, optimization [minimize], interpolation).
- What is your level of involvement in the SDLC beyond just writing code - QA, unit testing, deployment, scalability in PROD
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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