State Street Investment Management
Financial Services
ApplicationDevelopment,SeniorAssociate
“Application Development, Senior Associate at State Street Investment Management. Skills: Python, Data Engineering, Databricks, Cloud Technologies. Serve as key contributor. Support end-to-end delivery”
What You'll Achieve.
Deliver enterprise-grade automation platforms; Support multi-source data transformation; Support multi-source data integration; Support multi-source data computation; Support multi-source data production delivery; Establish systematic monitoring; Establish governance mechanisms; Support investment decision-support scenarios; Drive complex data initiatives to successful delivery; Support end-to-end delivery; Enable continuous evolution; Improve maintainability; Improve reusability; Support large-scale data processing; Support analytics computation; Support computation development; Support construction of data workflows; Support optimization of data workflows; Support investment research; Support investment decision-making; Improve delivery efficiency; Improve scalability; Transform manual operational tasks; Standardize processing workflows; Automate processing workflows; Ensure delivery meets governance; Ensure delivery meets control expectations; Deliver value aligned with business priorities; Build scalable solutions; Build reliable solutions; Build maintainable data solutions; Support data storage; Support query optimization; Support downstream application delivery; Support continuous integration; Support continuous delivery; Improve engineering productivity; Identify innovation opportunities; Identify improvement opportunities; Deliver end-to-end; Deliver working software; Deliver high quality services
Industry & Context.
Full-stack problem-solving; Hands-on problem-solving; Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
Bachelors degree, 5+ years experience, Full-stack problem-solving skills, Deep Python expertise, Enterprise-grade automation platforms, Data framework development, Data platform development, Leverage cloud technologies, Leverage distributed platforms, Databricks experience, Data quality frameworks, Systematic monitoring mechanisms, Governance mechanisms, Factor-based data calculations, Index-related data calculations, Business understanding, Technical execution, Cross-functional collaboration skills, Drive complex data initiatives, Python, Spark, Pandas, NumPy, SQL, PostgreSQL, Oracle, AWS RDS, CI/CD tools, DevOps practices
Nice to Have
Experience with Databricks, Experience with AutoSys Job scheduling system, Experience with cloud databases, Experience with Oracle, Experience with MySQL, Experience with AWS, AWS certification, Experience in asset management, Experience in financial services, AI technologies experience, Large language models experience, AI-assisted development experience, Agents experience, RAG experience, Intelligent automation experience, Product and delivery mindset, Ability to take initiative, Experiment with new ideas, Deliver end-to-end, Bias for action, Hands-on approach, Experience working across multi-country environments, Experience working across multi-region environments, Team ethics, Team player, English communication skills, Focus and desire to deliver high quality services, Ability to work in high pressured environment, Ability to work in time sensitive environment
What You'll Do.
Serve as key contributor
Support end-to-end delivery
Contribute to development of scalable platform capabilities
Enable continuous evolution of use cases
Design and develop Databricks-based workflow
Support execution patterns
Handle intermediate artifacts
Contribute to design and implementation
Enable multi-dimensional data governance
Enable multi-dimensional data monitoring
Support large-scale data processing
Support analytics computation
Support computation development
Support construction of data workflows
Support optimization of data workflows
Contribute to financial factor data computation
Contribute to financial factor data processing
Support investment research use cases
Support investment decision-making use cases
Build and deliver data transformation workflows
Build and deliver data integration workflows
Build and deliver data persistence workflows
Build and deliver downstream application workflows
Leverage cloud technologies
Leverage distributed data platforms
Improve delivery efficiency
Contribute to development of task automation solutions
Transform manual operational tasks
Standardize processing workflows
Automate processing workflows
Follow engineering standards
Enforce engineering standards
Collaborate with APAC business stakeholders
Translate manual processes
Automate data workflows
Iteratively deliver value
Align with business priorities
Proactively identify risks
Identify compliance issues
Monitor compliance issues
Escalate compliance issues
Identify operational exceptions
Monitor operational exceptions
Escalate operational exceptions
Ensure delivery meets governance
Ensure delivery meets control expectations
Act in accordance with Risk Excellence
Demonstrate professional ethics
Demonstrate accountability
Demonstrate sound decision-making
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Cross-functional agile teams; International teams
Communication Scope
English communication; Verbal communication; Written communication
Process & Methodology
Delivery mindset, Product mindset
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