Data Science Architect (FinTech, Insurance, Capital Market)
We’re Hiring: Data Science Architect (FinTech / Private Credit)
Are you an experienced Data Architect with deep capital markets expertise looking to build cutting-edge data platforms powered by modern LLMs and cloud technologies? Join our team to drive end-to-end data architecture and analytics for our buy-side platform!
Location: Bangalore / Hybrid]
Employment Type: Full-time
Experience Level: Senior (8+ years)
About the Role As a Data Science Architect, you will lead the evolution of our enterprise data warehouse, integrate AI/LLM technologies, and connect key trading, portfolio management, and accounting platforms. You’ll work closely with portfolio managers, traders, and finance teams to deliver high-impact data solutions and real-time reporting.
Key Responsibilities
- Data Architecture & AI: Design enterprise data warehouses incorporating LLMs, machine learning automation, and unstructured data.
- System Integration: Lead integrations with OMS, PMS, and IBOR systems using Python, T-SQL, and RESTful APIs.
- Analytics & Reporting: Build executive dashboards and ad-hoc reporting tools for front and middle-office stakeholders.
- Operations & Stability: Provide L2 support, automate routine operational tasks, and ensure maximum stability for mission-critical pipelines.
What We’re Looking For
- 10+ years of hands-on experience in enterprise financial technology (buy-side / private credit preferred).
- Advanced T-SQL skills (stored procedures, query performance tuning) and strong Python programming.
- Deep experience with cloud data platforms (Snowflake, Databricks, Redshift, or Azure Synapse).
- Familiarity with capital markets systems (Aladdin, Allvue, Bloomberg, Refinitiv).
- Experience or strong interest in configuring and deploying LLM & AI/ML technologies into enterprise pipelines.
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field.
How to Apply Interested in taking our data infrastructure to the next level? Apply directly through LinkedIn or send your resume to communications@qubistsolutions.com
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