Python Analytics Developer

SIAL TECHNOLOGY PARTNERS LLC
Nashville, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Nashville, United States of America

Tech stack

.NET
Amazon Web Services (AWS)
Business Analytics Applications
Azure
C Sharp (Programming Language)
Continuous Integration
Software Design Patterns
Microsoft SQL Server
Multiprocessing
Object-Oriented Software Development
Oracle Applications
Software Engineering
Parallel Computation
Backend
Kubernetes
REST
Docker
Programming Languages
Microservices

Job description

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 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)

We look forward to reviewing your profile.

Requirements

  • Strong knowledge of 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.

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