Full Stack Engineer
7 days ago
Project description
Applying to the position, you may join one of the most respected and fastest growing institutional investors in the world. Our client is a professional investment management organization that globally invests the funds to ensure long-term sustainability. The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and currently has offices in Toronto, London, Hong Kong, New York, São Paulo, Luxembourg and Mumbai.
Client attracts and selects high-caliber individuals from top-tier institutions around the globe. Join our team and look forward to:
• Diverse and inspiring colleagues and approachable leaders
• Stimulating work in a fast-paced, intellectually challenging environment
• Accelerated exposure and responsibility
• Global career development opportunities
• Being motivated every day by important social purpose and unshakable principles
• A deeply rooted culture of Integrity, Partnership and High Performance
If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here's an opportunity.
Responsibilities
Manage timelines/deliverables within the team towards the successful delivery of projects.
Design software solutions by interacting with portfolio managers, traders, operations staff and peers to understand requirements.
Develop solutions that are in line with client's technology biases, deliver efficiency and scalability, and enable new trading activities.
Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.
Skills
Must have
Experience in Python in an enterprise environment, covering the whole development life cycle
Experience with web development using either Angular, React or Dash Plotly.
Agile/scrum/Jira/confluence/Git
Experience with Cloud technologies, preferably AWS
Proficiency in CI/CD pipelines
Unit and integration testing
Nice to have
Capital market experience
Experience with BI tools, preferably QuickSight.
Experience with terraform for Infrastructure as code and cloud provisioning.
Experience with Jupyter notebooks for data analysis and reporting.
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