Job Description
Ovii's Interpretation of the Role
The Senior Quant Data Engineer will design and operate high‑throughput data pipelines and databases that power algorithmic trading analytics. Working in Bengaluru, you’ll collaborate with quants, product managers, and engineers to deliver reliable market‑data services for a global fintech platform.
Role Snapshot
- Senior Quant Data Engineer
- Build high‑throughput data pipelines
- Design and optimize PostgreSQL schemas
- Orchestrate workflows with Airflow/Dagster
- Develop REST APIs for analytics
- Ensure data quality and 24/7 availability
- Collaborate with quants and product managers
Must-Have Requirements
- Python
- PostgreSQL
- Airflow/Dagster
- Applied statistics
- Strong communication
- Data pipeline development
- Database schema design and optimization
- Statistical analysis and hypothesis testing
- BTech/MTech in Computer Science, Data Science, Statistics or related quantitative field
Nice-to-Have Signals
- REST API development (FastAPI/Django)
- C++ exposure
- R for research
- Machine Learning exposure
- AI exposure
- REST API development
- Fintech or electronic‑trading domain experience
- Low‑latency system concepts
- Hedge Funds
- Asset Managers
- Banks
Work Setup
- Location: Bengaluru, India
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Education requirement details
- Certifications
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Design and build high‑throughput pipelines for tick‑by‑tick market and execution data using Python, R and PostgreSQL
- Orchestrate scheduled data workflows with Airflow or Dagster to guarantee 24/7 global market coverage
- Implement automated data‑quality checks, monitor pipeline health, and debug data discrepancies
- Develop and maintain REST APIs (FastAPI/Django) that serve analytics and performance metrics to internal and client systems
- Collaborate with senior quants and product managers to translate TCA research into production‑grade features
- Maintain and tune database schemas and query performance for large‑scale analytical workloads
Good Fit If You Have
- Self‑starter mindset with end‑to‑end ownership of data products
- Strong analytical problem‑solving and applied‑statistics background
- Clear communication of technical and statistical findings to quants and clients
Skills
- Python (NumPy, Pandas, Polars)
- PostgreSQL (advanced queries, optimization)
- Airflow / Dagster workflow orchestration
- Statistical analysis & hypothesis testing
- REST API development (FastAPI, Django)
- Data‑quality testing and monitoring
- R for research & visualization (optional)
- C++ exposure / low‑latency concepts (optional)
- Machine Learning / AI exposure (optional)