Duration : 6 Months (Highly chance to extends)
- 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
Mindlance is an equal-opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and a work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process
Quantitative Developer in Toronto employer: Mindlance
Mindlance is an exceptional employer that fosters a dynamic and inclusive work culture, offering flexible hybrid work arrangements in the vibrant city of Toronto. Employees benefit from ongoing professional development opportunities, allowing for personal growth and career advancement within the banking sector. With a focus on collaboration and innovation, Mindlance empowers its team members to make meaningful contributions to large-scale projects, ensuring a rewarding and impactful work experience.
