Strategic Data Architect

5 days ago

Navi Mumbai, Maharashtra, India beBeeQuantitative Full time ₹ 1,80,00,000 - ₹ 2,20,00,000
Senior Quantitative Engineer - Systematic Strategies

As a Senior Quantitative Engineer, you will play a pivotal role in designing, implementing, and maintaining the data and systems architecture that powers our Systematic Strategies portfolios. To achieve this, you will work closely with portfolio managers, researchers, and developers to build, scale, and optimize the infrastructure that supports quantitative research and investment management.

About the Role:
  • Design and maintain scalable data pipelines for financial and alternative datasets using PySpark and AWS
  • Architect and manage cloud infrastructure (AWS EMR, S3, Glue, Lambda, ECS) to support quant research and production
  • Collaborate with quantitative researchers and portfolio managers to operationalize data workflows and support model deployment
  • Develop and support interactive dashboards and internal tools to visualize pipeline health, system performance, and data quality metrics for quant teams
  • Builand maintain tools and platforms for backtesting, simulation, and analytics
  • Optimize systems for performance, reliability, and cost-efficiency across compute and storage resources
  • Implement data governance, quality, and lineage processes for high-integrity research environments
  • Automate operational workflows and ensure CI/CD for quant systems
Requirements:
  • Bachelors or Masters degree in a quantitative, financial discipline, or engineering
  • 5+ years of experience in a Quant Engineer / Data Engineer / Platform Engineer role in an investment data handling team
  • Expertise in Python, with strong knowledge of PySpark and distributed data processing
  • Hands-on experience with AWS services (EMR, S3, Glue, Lambda, ECS, CloudWatch)
  • Familiarity with market data feeds and financial datasets like FactSet, Bloomberg, Compustat
  • Strong understanding of data architecture, storage formats (Parquet, Delta), and Spark performance tuning
  • Proficiency in developing interactive dashboards using tools like Tableau/PowerBI/Quicksight to monitor Portfolio performance
  • Experience with orchestration tools like Step function/Airflow and containerization using Docker
  • Comfortable working in Agile teams with Git, CI/CD, and infrastructure-as-code (Terraform, CloudFormation)
  • Knowledge of SQL and distributed query engines (e.g., Athena)
  • Exposure with Axioma or equivalent portfolio risk and optimization platforms (e.g., MSCI Barra, Bloomberg PORT, PyPortfolioOpt) to support risk modeling, portfolio construction, and performance attribution workflows
  • Knowledge in the domains of Agile Methodology, Machine Learning, and Optimization is a plus

This is an equal opportunity employer.

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