Python Developer

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)

• 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

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)