Vollständige Stellenanzeige von HCLTech Germany
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We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. Our people are diverse, creative, and passionate, raising the bar for excellence every day. If this sounds like an environment where you’ll thrive, join us on our journey to advance the technological world through innovation and creativity.
Key Responsibilities
- Design, develop, and maintain data and AI solutions on Databricks, Azure Cloud, Spark, and Python.
- Collaborate with Investment Managers and stakeholders to translate investment use cases into technical solutions.
- Build and manage ETL/ELT pipelines, data models, and analytics applications.
- Design and implement Agentic AI solutions for investment management and research processes.
- Develop machine learning models for forecasting, classification, NLP, and anomaly detection.
- Integrate and manage market data sources such as Bloomberg, Haver, and other financial data providers.
- Implement data governance, quality controls, security, and compliance standards.
- Manage CI/CD, monitoring, performance optimization, and production support activities.
Required Skills
- 3+ years of experience in Databricks, Azure Cloud, Spark, Python, AI, and Machine Learning.
- 2+ years of experience in Investment Management, Asset Management, Banking, or Capital Markets.
- Proven experience in designing and implementing Agentic AI solutions.
- Strong knowledge of:
- Databricks (Lakehouse, Delta Lake, Unity Catalog)
- Spark and MLflow
- Cloud Infrastructure and DevOps
- Understanding of financial markets, portfolio analytics, risk management, and performance attribution.
- Experience with Bloomberg and other market/reference data sources.
- Knowledge of data governance, data quality frameworks, CI/CD, Git, security, and monitoring.
- Strong stakeholder management, communication, and problem-solving skills.
We promote equal opportunities for all employees, regardless of their cultural and social background, gender, disability, age, religion, beliefs, and sexual identity. We give priority consideration to severely disabled applicants and those of equal status in the case of equal suitability.
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