Senior Data Architect
4 weeks ago
Contract opportunity.
Hybrid in Toronto (3 days a week in office).
Financial client.
Job Description
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.
Client attracts and selects high-calibre 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.
Mandatory Skills Description:
• Proven experience in data modelling, starting with a conceptual model (high-level business entities), progressing to a logical model (building relationships between the business entities), and concluding with a physical model (actual data structure to store the data physically).
• Solid understanding of public markets instruments.
• Proficiency in Python to quickly transform and manipulate data.
• Strong SQL skills, as the Murex database is Oracle.
• Understanding of JSON and XML, since Murex intraday events data will be in MXML format used by Murex.
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