Senior Python Developer

Senior Python Developer

This is with a global IT services firm for a leading investment / wealth management services firm. Client Location is downtown Toronto Ontario, close to TTC and GO service. Hybrid - In Office 4 days per week. Contract - 6 months, possible renewal

Project description

The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments.

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

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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