City : Toronto, Ontario, Canada

Category : Full time

Industry : Public Services/Utilities

Employer : Healthcare of Ontario Pension Plan (HOOPP)

Why you’ll love working here:

• high-performance, people-focused culture

• our commitment that equity, diversity and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic selves

• learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees’ career growth

• competitive, 100% company-paid extended health and dental benefits for permanent employees with recent additions to promote inclusive coverage to a diverse employee population. These recent additions include gender affirmation and fertility drug and treatment coverage

• membership in HOOPP’s world class defined benefit pension plan, which can serve as an important part of your retirement security

• access to an annual wellness reimbursement program for health and wellness-related expenses for permanent employees

• virtual fitness, yoga and meditation classes, nutritional consultations and wellness seminars

• we offer a hybrid flexible work model that embraces remote work in Ontario for eligible roles

• the opportunity to make a difference and help take care of those who care for us, by providing a financially secure retirement for Ontario healthcare workers

Key Accountabilities

• Key domain leader in designing and building innovative software solutions in the areas of core algorithmic trading API’s, models & signals implementations, pre/post trade analytics, back testing and risk functions for the Systematic Investment Trading Desk
• Develop custom technical solutions and employ industry best practices to build and support Front/Back office applications and platforms from Portfolio Management and Trading Perspectives by applying detailed knowledge of investment management concepts across multiple asset classes
• Directly partner with Investment Management division to implement/optimize/support new investment models, strategies across various financial instruments (currencies, futures, rates, equities…etc.) via technical and software implementations

• Provide the technical foundation for investment management division’s derivative models and financial utilities
• Integrate market trading API’s into HOOPP’s Order Management ad Book of Record/Compliance Systems
• Design and oversees the data workflow, data engineering and data mining on time-series market data and trade signals, under the direction from the Systematic Trading Desk
• Professional documentation of methodology, validation testing and specification used by model
• Identify, prioritize, and manage projects independently and in collaboration with peers as requirements and timelines dictate
• Key driver of the hoopp end user compute technologies
• Strong Team player
• Clearly communicates complex concepts
• Mentoring and developing junior team members

Experiences with following are a plus:

• Implementations of trade execution and cost analysis based on investment management division’s research and model
• Understanding of pre-trade, post-trade of trade workflow and provide suggestions on improvement of efficiencies from software engineering and infrastructure perspective.

Qualifications:

• 8+ years of experience of back-end or full stack software development, preferably in capital market, investment management and/or financial risk management function
• Proven Java/C# and SQL experience is a must, knowledge about Python is a plus
• Prior architect/system design & leadership experience is preferred
• Experience with data warehousing, database design, data pipeline and ETL
• Experience in working with/or developing with time series database, BPIPE, DAPI, OMS is a plus
• In-depth knowledge of the principles, theories, practices, and techniques on functional design for all functional components to build high throughput trading applications
• Experience developing real-time Equity, FX, Futures trading platforms, inclusive of algorithmic and systematic complex event processing at any financial institution.
• Solid understanding of systematic investment strategies/processes, quantitative techniques (statistics, optimization), market microstructure, portfolio theories, execution, and pre/post trade analytics across several asset classes
• Effectively communicate with end users who may not be technical proficient and present ideas in simple but effective manner and translate them into actionable workplans
• Able to handle stress and manage expectations from different business/technical stakeholders in this fast-paced environment
• Ability to interact with and build strong working relationships with Traders and technology Teams (Analysts, Developers, Coaches)
• Excellent technical and non-technical verbal and written communication skills
• Passionate about improving your own skills as well as those of your colleagues through knowledge sharing and mentoring