Data Science Architect

RESPONSIBILITIES

Data Management & Reporting

• Design and extend capabilities for the client data warehouses, incorporating Large Language Models (LLMs), machine learning automation, and unstructured data integration
• Implement and integrate enterprise software solutions, including risk, accounting, and investment pipeline systems
• Leverage APIs and web services to load and extract data from third-party platforms
• Develop data analysis and ad hoc reporting packs for front-office and middle-office stakeholders

Product Implementation & Development

• Collaborate with business users—including portfolio managers, traders, operations, analysts, and finance and compliance professionals—to gather technical requirements and deliver solutions using Python, SQL, and vendor dashboarding tools
• Serve as principal technical business analyst and developer on one or more core system implementations
• Manage multiple simultaneous large-scale projects, including SaaS implementations, workflow automation, and data warehousing initiatives
• Uphold a high standard of SDLC practices, with a focus on automated testing and regression management
• Contribute to and align with the overall vision and culture of the technology team

Operations

• Provide L2 support for provisioned applications
• Ensure the operational stability of data pipelines and reporting infrastructure
• Automate routine operational tasks using PowerShell, Power Automate, Power BI, and other tooling
• Maintain robust systems documentation

Technology

• Stay current with technical best practices and emerging tools
• Execute Major Incident and Crisis Management processes during unexpected issues
• Support additional core technology projects as needed

QUALIFICATIONS

• 10+ years of hands-on experience in enterprise financial technology implementations, including financial data warehouses, custom workflow and reporting development, and data integrations—ideally within the private credit domain
• Advanced proficiency in MS T-SQL, including stored procedures, functions, and performance/query optimization
• Experience integrating complex applications via RESTful APIs
• Experience implementing or configuring Portfolio Management, Order Management, or Investment Book of Record accounting systems
• Proven ability to develop business-facing dashboards and reports using BI technologies such as Sigma Computing, Power BI, or Tableau
• Experience configuring and deploying LLMs and AI/ML technologies preferred
• Advanced knowledge of data warehouse platforms (e.g., Snowflake, Databricks, Amazon Redshift, Azure Synapse) and associated tooling preferred
• Bachelor’s or Master’s degree in a relevant technical field
• Strong knowledge of buy-side financial services technologies, including trading and portfolio management systems (e.g., Allvue/Black Mountain, BlackRock Aladdin)
• Familiarity with alternative asset classes (credit, private equity) and the investment lifecycle
• Experience with market data platforms such as Bloomberg, S&P Markit, or Refinitiv
• Knowledge of Arcesium Aquata or similar data warehouse platforms preferred
• Demonstrated ability to translate business requirements into technical design and deliver end-to-end, from development through user testing and adoption
• Excellent problem-solving skills with the ability to prioritize multiple time-sensitive projects simultaneously
• Strong verbal and written communication skills; customer-service-oriented mindset
• Availability for on-call support outside standard hours for scheduled changes, emergency incident management, and escalated requests