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
