What are the responsibilities and job description for the Data Science Architect position at Landing Point?
Company Overview:
A next-generation investment platform with over $13 billion in assets under management is seeking a Data Science Architect to join their team. The role involves implementing and integrating front and middle-office applications to support their credit, private equity, and insurance businesses.
Job Responsibilities:
The post Data Science Architect appeared first on Landing Point.
A next-generation investment platform with over $13 billion in assets under management is seeking a Data Science Architect to join their team. The role involves implementing and integrating front and middle-office applications to support their credit, private equity, and insurance businesses.
Job Responsibilities:
- Design additional capabilities for data warehouses, including the use of Large Language Models and Machine Learning automation.
- Implement and integrate enterprise software solutions and leverage APIs for data management.
- Provide data analysis and ad-hoc reporting for front-office and middle-office users.
- Work with business users to gather technical requirements and execute using Python, SQL, and dashboarding tools.
- Serve as the principal technical business analyst and developer for core systems implementation.
- Execute multiple large-scale projects and ensure high standards of SLDC with automated testing.
- Provide L2 support for applications and ensure operational stability of data pipelines.
- Create automation of routine tasks using PowerShell, Flow, PowerBI, and other tools.
- Stay updated on technical best practices and assist with core technology projects.
- 10 years of development experience in financial technology implementations and data integrations.
- Advanced MS T-SQL experience and experience integrating applications via RESTful APIs.
- Experience with Portfolio Management/Order Management systems and business intelligence technologies.
- Experience with Large Language Models and AI/ML technologies preferred.
- Advanced knowledge of data warehouse technologies like Snowflake, Databricks, and Azure Data.
- Bachelor or Master’s Degree in a relevant technical field.
- Strong knowledge of buy-side financial services technologies and alternative asset classes.
- Experience with market data platforms and knowledge of data warehouse platforms preferred.
- Strong technical skills, problem-solving abilities, and communication skills.
- Ability to prioritize multiple projects and tasks with a customer-service-driven outlook.
- Occasional travel to Miami and on-call availability may be required.
The post Data Science Architect appeared first on Landing Point.
Salary : $150,000 - $200,000