Responsibilities
- Design, build, and deploy machine learning models and ML-driven applications
- Develop infrastructure and tools for training, deploying, and monitoring ML models
- Convert machine learning prototypes into production-grade systems
- Build APIs, calculation engines, batch processes, and real-time modules supporting trading and portfolio management platforms
- Perform feature engineering, data processing, and data analysis
- Develop and maintain ETL pipelines and data workflows
- Integrate applications with external market data providers such as Bloomberg and TradeWeb
- Collaborate with cross-functional teams including engineering, data science, and trading stakeholders
- Participate in architecture discussions and contribute to scalable ML platform design
- Ensure systems are reliable, scalable, and optimized for performance
Basic qualifications
- Strong programming experience with Python, Java, and other ML-related languages
- Strong hands-on experience with Python libraries such as Pandas and NumPy
- Experience building applications using FastAPI or Flask frameworks
- Solid understanding of machine learning algorithms and techniques
- Experience with ML frameworks such as:
- TensorFlow
- PyTorch
- Scikit-learn
- Strong experience in data analysis, feature engineering, and large dataset handling
- Strong SQL skills and database knowledge
- Experience with GraphQL
- Experience building real-time and batch applications
- Experience working with AWS cloud services including:
- EKS
- API Gateway
- Lambda
- Redis
- S3
- Experience with PostgreSQL or similar databases
- Experience integrating with market data providers (Bloomberg, TradeWeb, etc.)
- Experience developing ETL pipelines
- 10–12 years of experience in Asset Management or Financial Services
- Strong communication skills with the ability to coordinate with multiple stakeholders
Preferred qualifications
- Experience with JupyterLab
- Experience with Apache Airflow or other workflow orchestration tools
- Knowledge of DevOps practices
- Strong interest in experimenting with new AI/ML technologies and platforms
- Experience working on Equity or Fixed Income trading use cases
- Exposure to data science platforms and advanced analytics tools
Tags & focus areas
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