within the Asset and Wealth Management Technology and 55ip team, your role involves taking part in building its research data platform.  You are responsible in implementing effective large-scale data solutions in a cloud-based environment.  

 

Job responsibilities

• Build high-performance cloud-based data solutions to support quantitative research capabilities: back testing, simulations, machine learning, and other advanced analytics & algorithms
• Implement, schedule, and oversee ETL, ELT, and monitoring processes
• Oversee the loading of data from vendor and internal data sources
• Implement and support automation solutions to improve platform scalability
• Monitor the system performance by performing regular tests, troubleshooting, and integrating new features
• Provide L2 support for data systems to stakeholder teams
• Collaborate with technical teams to design and implement data solutions
• Recommend solutions to improve new and existing data systems

 

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Bachelor's degree in information systems, information technology, computer science, or similar.

• Expertise in

  Structured Query Language (SQL), with s

  trong Experience with AWS Cloud services/technologies, such as RDS, S3, Lambda, Secrets Manager
• Strong Experience in Python, Pandas/Polars, and Numpy, and clear understanding of OOP and software design constructs within a Python context
• Strong Experience in all aspects of software development lifecycle, especially Agile Scrum

  , along with experience in implementing and monitoring ETL processes

• Strong Experience with database technologies, architecture, performance tuning, and scaling

• Strong Experience in database design and modeling, experience with Airflow or similar orchestration tools

• Experience working with Data Lakes (Iceberg/Delta Table) and experience working with Spark and EMR

• Experience working with CI/CD tools for application and database development

• Excellent communication (written and oral) and presentation skills, with agility: able to shift gears and react quickly to timely requests

• Ability to work with quant researchers & developers to understand requirements, strong attention to detail, pride in delivering high quality work and willingness to learn

   

 

Preferred qualifications, capabilities, and skills

• Experience working with DuckDB is a plus
• Experience with PostgreSQL specifically is a plus
• Experience supporting development of AI/ML models
• Exposure to financial capital markets data and trading applications, working with investment data

• AWS certifications are a plus

• Experience with project workflow tools such as Jira in an Agile-Scrum environment

• Knowledge of Linux and knowledge of Docker

Build research data platform an implement effective large-scale data solutions in a cloud-based environment