Quant Developer

An Initial AI Screening will be conducted for this role. Please Click Here to complete your AI screening while submitting your application.

JOB DESCRIPTION

Location: Hybrid (Downtown, Toronto)

Duration: 6 months 

Our client, a leading financial institution in Downtown Toronto, is looking for a Quant Developer to develop and maintain risk applications to estimate profits & losses (P&Ls) using the strategic Big Data infrastructure (HDFS, Apache Spark (PySpark), etc.), The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.

Typical Day in role:

• Designing and executing the overall quant development framework
• Utilizing AI tools and emerging technologies to enhance productivity, streamline development processes, and improve code quality while maintaining compliance and accuracy standards.
• Contributing ideas and concerns, and escalating issues for tactical and strategic system solutions and business process improvement
• Providing effective User Acceptance Testing, ensuring the appropriate validation has occurred from Quantitative Risk Analytics and/or Model Risk
• Collaborating with IT teams to build out DevOps process to enable efficient product delivery
• Working with IT colleagues and other stakeholders to reach agreeable and effective solutions to complex technical problems
• Assisting with business process engineering, ensuring all processes are effective, efficient
• Assisting with training of team members as required
• Assisting with project reporting and status updates to senior management.

Must-Have Skills:

• 5+ years of experience in capital markets, either in Market Risk, Middle Office / Product Control or Back Office.
• Working experience in application development in a financial institution
• Strong knowledge in Big Data development and toolsets (HDFS, PySpark, Spark Python, Scala, etc.)
• Solid understanding of IT practices and ability to manage and prioritize development tasks.
• Ability to clearly communicate highly technical concepts to business stakeholders.
• Results oriented with ability to work effectively under consistent time and workload pressures.
• Delivery focused mentality and ability to work autonomously.
• Strong quantitative and analytical skills, with attention to detail.
• Solid knowledge of derivative pricing, market risk methodologies, systems and processes, and regulatory requirements.
• Experience with Agile framework and project management
• Experience with parallel computing

Nice-To-Have Skills:

• Experience with financial market data across different asset classes
• Knowledge and skills in AI models and tools, such as Copilot, Agents, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Transformers, and similar emerging AI technologies

Soft Skills Required:

• Above average oral and written presentation skills: ability to present clearly complicated modelling concepts and techniques to senior management
• Self-driven and be able to work both in a team and individually
• Basic knowledge across capital market products and business
• Strong interests in finance
• Strong attention-to-detail

Education:

• Highest education

FP Inc. is committed to creating an inclusive environment where all team members and clients feel like they belong. In accordance with the requirements set out in the Employment Standards Act, FP Inc. hereby declares that AI is utilized in the screening process for this position. The hourly compensation range for this role is C$80 – C$98. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, colour, religion, national origin, sex, physical or mental disability, or age.