Data Science Architect (FinTech, Insurance, Capital Market)

Qubist Solutions LLC
Bengaluru, Karnataka, India

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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