Lead Quantitative Financial Engineer

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Lead, Financial Engineer - SS&C Algorithmics

Location(s):  Toronto, Ontario | Hybrid

Status: OPEN

Get To Know Us:

SS&C is leading the way.  We continue to look for today’s and tomorrow’s brightest talent, those that embody a spirit to improve not only their lives, but those around them. From college students to seasoned and experienced professionals, we encourage you to reach out and apply to our welcoming and inclusive environment.

SS&C prides itself on hiring diverse, honest, dynamic individuals, who value collaboration, accountability, integrity, and innovation to name a few.  We are a fast-paced environment, who promote flexibility, authenticity and offer a hybrid working model to ensure employees can manage their day and meet both work and personal commitments.

Within SS&C, the Algorithmics business unit is a leading provider of financial risk technology solutions that help financial institutions navigate uncertainty with confidence. As part of SS&C Technologies, we combine the agility of a specialized business unit with the resources of a large global enterprise.

Why You Will Love It Here!

• Flexibility: Hybrid Work Model & a Business Casual Dress Code, including jeans
• Your Future: RRSP Matching Program, Professional Development Reimbursement
• Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
• Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave
• Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
• Training: Hands-On, Team-Customized, including SS&C Learning Institute
• Extra Perks: Discounts on fitness clubs, travel and more!
• Wide-Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents and Experiences of Our Employees

About the Role:

SS&C Algorithmics, a division of SS&C Technologies, is seeking an experienced and highly motivated Financial Engineer to join our Financial Engineering team. As a member of the Financial Engineering Group, you will participate in specification, research, and development of new product features relating to Financial Analytics and Risk Management. You will provide guidance and support to clients and field office colleagues. You will be involved in solving challenging problems in many diverse areas of Financial Engineering and Mathematical Finance, e.g.:

• Quantitative analysis on pricing, validation and risk management.
• Scenario generation
• Market Risk, Credit Risk, Liquidity Risk, ALM, Regulatory Requirement, Climate Risk
• Alternative assets valuation and risk modeling

Your success will be based on ability to work with the Financial Engineering colleagues and collaborate with Research, Validation and Development teams to provide solution specifications across a wide spectrum of risk-related topics. 

SS&C Algorithmics has more than 200 Clients globally, operates in 25 countries and has a team of people who design, develop, sell and support risk analytics solutions for financial institutions.  SS&C Algorithmics is headquartered in Toronto, Ontario. Candidates must be able to commute to an office and be willing to work in the office and be able to meet the in-office requirements.

We're seeking a senior quantitative risk professional with strong financial engineering expertise, advanced programming skills, and practical AI experience. The ideal candidate can design complex risk solutions, engage credibly with clients, leverage AI to accelerate innovation, and translate sophisticated quantitative concepts into scalable business solutions.

What You Will Get To Do:

• Research and design financial/technical specifications of complex new product features.
• Create prototypes to test and validate ideas, models and solution designs. 
• Investigate, consult and understand new market functionalities, client requirements and risk methodologies (pricing, simulation, valuation and optimization).
• Use AI knowledge, skills, and tools to support and streamline the entire process.
• Provide authoritative advice, product expertise and models to support sales efforts, clients and services teams.
• Produce whitepapers and represent the organizations to deliver presentations at conferences and to potential clients.
• Collaborate with other teams (Research, Validation, Development, Services, Pre-sales and Sales).
• Resolve conflicting methodology viewpoints among different parties (e.g. clients specific requirement vs industry best practices or Algorithmics outputs vs. client front office systems).

What You Will Bring:

• Solid mathematical and statistical background (Probability, Statistics, Stochastic Processes, Financial Mathematics, Linear Algebra, Optimization). Advanced degree in Risk Management, Mathematics, Computer Science, Mathematical Finance, or equivalent.

• Excellent analysis and problem-solving skills. Ability to abstract and formalize problems and attention to detail.
• Strong verbal and written communication skills, with experience transferring knowledge to team members, delivering presentations, writing white papers, and communicating with clients. Able to clearly present and publish complex solutions in an easy-to-understand manner.
• Experience with Python, MATLAB, and Visual Basic/Excel, along with exposure to AI tools, techniques, and Claude Code (or equivalent). Proficiency in R and C++ in a Linux environment is an asset.
• Creativity together with discipline, ability to work independently and as a part of a team.
• Minimum 2+ years of experience in a related field. Working experience in software development and/or financial industries is certainly an asset.
• Experience and skill in our Algorithmics software (RiskWatch, ASE, AWA etc.) will be a big plus.
• Regional language skills and proficiency in multiple languages would be an asset.

We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. SS&C Technologies Canada Corp. fosters a positive, equitable and progressive workforce and is committed to accommodating applicants with disabilities throughout the hiring process. We will work with applicants requesting accommodation at any stage of this process. If you require any accommodation during the application and hiring process, please contact: tacanada@sscinc.com.

No phone calls or email applications please. We thank all candidates for their interest, but only those under consideration will be contacted.

Salary Range: $140,000 to $180,000 CAD

This job advertisement is for an existing vacancy which has been posted both internally and externally.

You need to be legally eligible to work at the location(s) specified above and, where applicable, must be able to provide a valid work or study permit, if selected for an interview.

SS&C uses AI tools to help screen and assess applicants by analyzing resumes and applications to identify candidates whose skills match our needs. These tools support, but do not replace, human decision-making.
 

#LI-LM1

#LI-HYBRID
#CA-LM

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

Applications will be accepted on an ongoing basis until the position is filled.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.