• CURRENT OPPORTUNITIES
• CURRENT OPPORTUNITIES
Employment Type: Direct Hire
Location: Toronto, ON
Product Designer
In this role, you’ll tackle the exciting challenge of creating intuitive, seamless user experiences that address the unique needs of private equity professionals. From crafting innovative designs that simplify complex data to collaborating closely with stakeholders to ensure our platform stays ahead of the curve, this is a rare opportunity to make a significant impact on a product at the forefront of fintech innovation.
Role-Specific Accountabilities
Be an owner – Lead end-to-end product design efforts, from UX research and information architecture to interaction design and polished UI.
You will be a key member of our growing product design team and will play a crucial role in shaping our design culture and processes.
Become a product expert in private equity workflows, portfolio monitoring, and investment analysis through close collaboration with investment teams and end users.
Build without prior art – design and implement innovative, intuitive dashboards and financial interfaces where no pre-existing templates exist, setting the UI/UX standard for our internal tools.
Influence the shape of the product with research and data while executing design work using high quality wireframes, mockups, user journeys, and prototypes
Use modern design tools (Figma and others) to create prototypes, wireframes, and high-fidelity visuals that bring ideas to life.
Conduct usability testing and incorporate feedback to refine and optimize product experiences.
Manage multiple projects simultaneously, thriving in a fast-paced, agile environment.
Education, Experience & Capabilities
Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field
4+ years designing complex software products with a focus on user experience, interaction, and visual design that meet business objectives
Experience conducting advanced usability testing and gathers feedback from varied stakeholders to inform product strategy
Experience developing and implementing design strategies, leads design efforts, and presents to executive-level stakeholders
Proficiency in prototyping tools and building high-fidelity prototypes that effectively communicate design concepts
Employment Type: Contract
Location: Toronto, ON - 4 days onsite
Senior Data Engineer
Lead the design, development, and maintenance of scalable and robust reusable data pipelines.
Architect and implement data migration, data warehousing solutions and ETL/ELT projects.
Champion the transformation and consolidation of legacy ETL tools.
Ensure data quality, integrity, and security across various data systems.
Drive data-driven decision-making and innovation across high-impact projects.
Collaborate with the QA team to develop test strategies and automated test scripts.
Oversee all aspects of the data delivery life cycle from discovery, analysis, design, development, testing to release planning and implementation of data systems.
Guide and collaborate data developers and engineers to adhere to CI/CD and DevOps best practices.
Partner with the Data Quality Assurance Team to ensure the highest quality standards are applied to every process within data engineering.
Translate requirements into detailed functional and technical designs.
Provide consultation for evaluating data and software systems.
Ability to manage multiple competing projects and prioritize them effectively.
Lead and collaborate with vendors as needed.
What We’re Looking For
Bachelor's Degree in a field such as Engineering, Computer Science or equivalent
Expert-level knowledge of SQL, Python, and Shell scripting.
Expert-level knowledge of Snowflake and Microsoft SQL Server
Experience with Node.js. and .Net
Expert-level knowledge of ETL and API development.
Extensive experience developing and automating CI/CD pipelines.
Expert-level knowledge of DBT for designing, developing, and maintaining data pipelines.
Expert-level knowledge in data modeling and data architecture.
Experience with Agile Scrum, Kanban, Iterative Data Development and PACE methodologies
