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Quantitative Developer - Job Opportunity at Numerix

Remote, Canada
Full-time
Senior
Posted: June 2, 2025
Remote
CAD 140,000 - CAD 180,000 annually based on the senior-level requirements, specialized quantitative finance expertise, and the premium nature of financial technology roles in the Canadian market. The remote nature and EMEA client focus may command additional premium given the specialized skill set required.

Key Responsibilities

Design and implement complex valuation and risk solutions for financial institutions through comprehensive customer implementation projects that directly impact client trading and risk management capabilities
Capture and translate sophisticated customer business requirements into technical solution specifications that bridge the gap between financial theory and practical implementation
Configure front-to-risk systems architecture that enables real-time pricing and risk monitoring across multiple asset classes and trading desks
Lead systems integration and interface development that connects disparate financial systems into cohesive risk management platforms
Develop and implement workflow automation solutions that streamline operational processes and reduce manual intervention in critical financial operations
Provide first-line technical troubleshooting during quality assurance and customer testing phases to ensure seamless deployment of mission-critical financial systems
Deliver premium application support services to EMEA clients, maintaining high service standards that directly impact client satisfaction and retention
Contribute to the complete product development lifecycle by collaborating with cross-functional teams to deliver cutting-edge analytics solutions
Drive strategic partnerships with product engineering, management, sales, and support teams to exceed client expectations and business objectives
Lead change management initiatives and mentor team members to foster a high-performing collaborative environment across the organization

Requirements

Education

Advanced degree (Masters) in a technical discipline, such as quantitative finance, financial engineering, mathematics, or physics

Experience

At least 7-10 years experience in financial derivatives, risk analytics and capital markets

Required Skills

strong understanding of quantitative finance and technology experience with risk analytics including but not limited to Historical, Monte Carlo & Scenario VaR, XVA, PFE In-depth familiarity with Product Structures, Curve Building, Pricing Models, Risk and Market Reference Data Strong demonstration, communication, and interpersonal skills Strong understanding of the Software Development Life-Cycle (SDLC) and best practices of the same (preferably Agile) development tools like JIRA Strong hands-on experience with python and/or other programming languages Experience with cloud-based native services and SaaS offerings
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Sauge AI Market Intelligence

Industry Trends

The financial technology sector is experiencing unprecedented growth driven by digital transformation initiatives across investment banks, hedge funds, and asset management firms seeking to modernize their risk management infrastructure. The integration of cloud-native solutions with traditional on-premises systems has become a critical competitive advantage, particularly as regulatory requirements for real-time risk monitoring continue to intensify globally. Quantitative finance roles are increasingly focused on cross-asset risk analytics and XVA calculations as financial institutions seek to optimize capital allocation and meet Basel III compliance requirements. The demand for professionals who can bridge the gap between complex mathematical models and practical software implementation has surged, particularly those with expertise in Monte Carlo simulations and scenario analysis. The shift toward Software-as-a-Service (SaaS) delivery models in financial technology has created new opportunities for professionals who understand both the technical architecture and the business requirements of institutional clients. This trend is particularly pronounced in the EMEA region where regulatory harmonization is driving standardization of risk management practices.

Role Significance

Typically works within a team of 8-12 professionals including Financial Engineers, Quantitative Analysts, Solution Architects, and Project Managers, with direct collaboration across multiple departments including product engineering, sales, and customer support.
This is a senior-level individual contributor role with significant client-facing responsibilities and mentoring expectations. The position requires independent decision-making in complex technical implementations while serving as a subject matter expert to both internal teams and external clients.

Key Projects

Implementation of comprehensive risk management platforms for tier-1 investment banks involving multi-asset class pricing and risk analytics Development and deployment of XVA calculation engines for derivatives trading desks requiring real-time credit and funding valuation adjustments Integration of cloud-based risk analytics solutions with existing on-premises trading systems for large financial institutions Automation of regulatory reporting workflows for compliance with Basel III and other international risk management standards

Success Factors

Deep technical expertise in quantitative finance combined with strong software development skills to bridge the gap between complex mathematical models and practical business applications Exceptional client relationship management abilities to navigate the demanding requirements of institutional financial clients while maintaining high service standards Strong project management capabilities to coordinate complex implementations across multiple stakeholders and technical teams Continuous learning mindset to stay current with evolving regulatory requirements and emerging financial technologies Cross-cultural communication skills to effectively serve global clients across different time zones and regulatory environments

Market Demand

High demand driven by the critical nature of risk management in financial institutions and the specialized combination of quantitative finance knowledge with hands-on programming skills required for this role.

Important Skills

Critical Skills

Python programming expertise is essential as it serves as the primary language for quantitative finance implementations and is critical for model development, data analysis, and system integration work Deep understanding of risk analytics methodologies including VaR and XVA calculations is fundamental to the role as these represent the core value proposition delivered to institutional clients Knowledge of curve building and pricing models is critical for implementing accurate valuation systems that financial institutions depend on for trading and risk management decisions Strong communication and interpersonal skills are vital for translating complex technical concepts to business stakeholders and maintaining high-value client relationships

Beneficial Skills

Experience with Agile development methodologies and JIRA would accelerate integration into the development team and improve project delivery efficiency Cloud-native services expertise would be valuable given the industry trend toward hybrid and cloud-based risk management solutions Consulting experience would provide additional credibility when working with senior stakeholders at financial institutions and improve project management capabilities Advanced degree in quantitative fields would strengthen technical credibility and provide deeper theoretical foundation for complex financial modeling work

Unique Aspects

The role combines hands-on technical implementation with direct client interaction, providing exceptional exposure to real-world applications of quantitative finance in institutional settings
Opportunity to work across both SaaS and on-premises implementations, gaining comprehensive experience with different deployment models in enterprise financial software
Direct involvement in the complete product development lifecycle from initial customer requirements through ongoing support, providing end-to-end project ownership
Exposure to cutting-edge financial analytics including XVA calculations and advanced risk metrics that are at the forefront of modern risk management

Career Growth

Career progression typically occurs within 3-5 years given the specialized nature of the role and the strong demand for experienced professionals in financial technology leadership positions.

Potential Next Roles

Senior Solutions Architect specializing in enterprise risk management platforms Product Manager for quantitative analytics software with P&L responsibility Director of Professional Services leading client implementation teams Principal Quantitative Engineer focusing on next-generation risk analytics platforms Client-side roles as Head of Market Risk or Chief Risk Officer at financial institutions

Company Overview

Numerix

Numerix is an established leader in the financial technology sector with nearly three decades of experience providing quantitative analytics and risk management solutions to global financial institutions. The company has strengthened its market position through strategic acquisitions of FINCAD, PolyPaths, and Kynex, creating a comprehensive platform for derivatives pricing and risk management.

Numerix holds a strong position in the specialized market of quantitative finance software, competing with established players like Bloomberg, Murex, and Calypso while maintaining a focus on innovation and client service excellence.
The Canadian remote position reflects Numerix's global expansion strategy while leveraging Canada's strong talent pool in quantitative finance and financial technology, particularly in major financial centers like Toronto and Vancouver.
The emphasis on collaboration, continuous learning, and client focus suggests a performance-driven culture that values both technical excellence and business acumen, typical of successful financial technology companies serving institutional clients.
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