Quant Engineer Jobs in Toronto, ON (NOW HIRING)

## Quantitative Developer with MatLabApplylocations: Toronto, ONtime type: Full timeposted on: Posted Todayjob requisition id: JR1041738**We are**At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,850+, and has 60 offices in 20 countries within key global markets.**Our challenge**We are seeking a highly skilled and motivated Quantitative Developer to join our Toronto-based Quantitative Development team. This strategic role provides an excellent opportunity to work closely with the Quantitative Research and Investments teams, delivering cutting-edge technology solutions and advanced analytics that underpin our quantitative investment strategies. The ideal candidate will have strong technical expertise, a passion for financial modeling, and a collaborative mindset to contribute to a fast-paced, innovation-driven environment.Additional Information\*The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Toronto, ON is CAD $130k – CAD $140k/year & benefits (see below).**The Role****Responsibilities:*** Model Development & Deployment: Design, build, deploy, and support robust, production-grade quantitative models and portfolio optimization tools that enhance investment decision-making.* Technical Translation: Collaborate with research and investment teams to translate complex business requirements into scalable, maintainable technical solutions adhering to software engineering best practices.* Code Quality & Documentation: Write clean, efficient, and well-documented code, incorporating automated testing, peer reviews, and version control to ensure high reliability and maintainability.* Cross-Functional Collaboration: Work within a dynamic, members Agile development team, fostering continuous improvement, regular communication, and iterative delivery of features and solutions.* Operational Support: Maintain and enhance existing models and tools, troubleshoot production issues, and implement enhancements to support evolving investment strategies and data needs.**Requirements:*** Bachelor’s degree in Computer Science, Engineering, Quantitative Finance, or a related discipline.* MATLAB: Expert proficiency in developing, validating, and deploying complex mathematical models and optimization solutions suitable for production use.* Python: Extensive experience with Python, particularly with pandas for data analysis, manipulation, and scripting for quantitative workflows.* SQL: Strong ability to write and optimize complex SQL queries for retrieving, aggregating, and analyzing large datasets.* Financial Knowledge: Deep understanding of asset management and quantitative investing principles, including familiarity with financial statements, risk metrics, pricing models, and data.* Quantitative Skills: Demonstrated strong mathematical, statistical, and analytical capabilities to develop sophisticated models and interpret complex data.**Preferred, but not required:*** CFA Charter: Holders of the Chartered Financial Analyst (CFA) designation are highly valued.* Advanced Degree: Master of Mathematical Finance (MMF), PhD, or equivalent advanced degree in Financial Engineering, Applied Mathematics, or related fields.* Platform Experience: Hands-on experience with Databricks, cloud-based data platforms, or similar data engineering environments.**We offer:*** A multinational organization with 60 offices in 20 countries and the possibility to work abroad.* 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).* A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.* Flexible hybrid policy.* RRSP with employer’s contribution up to 4%.* A higher education certification policy.* On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.* Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.* Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.* A truly diverse, fun-loving and global work culture.***S******YNECHRON’S DIVERSITY & INCLUSION STATEMENT***Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. #J-18808-Ljbffr