Quant Engineer - Capital Market Technologies

swissQuant Group AG seeks a Senior Quant Engineer in Zürich to develop and validate risk models for capital markets and CCPs, working remotely with a focus on robust quantitative solutions.

This position focuses on the end-to-end lifecycle of quantitative risk models, particularly those used by Central Counterparties. The engineer will bridge the gap between complex mathematical concepts and production-ready software, ensuring compliance with major regulatory frameworks while delivering value to global clients.

Responsibilities

• Create, test, and maintain high-quality quantitative models and code within a shared library.
• Conduct independent validation and ongoing assessment of existing models to ensure compliance with EMIR, CPMI-IOSCO PFMI, and other relevant standards.
• Collaborate with senior stakeholders to align modeling assumptions with business requirements and clearly communicate associated risks.
• Produce comprehensive documentation, validation reports, and presentations to support model usage.
• Develop advanced methodologies and technologies for international clients.
• Prototype and test risk models in real-world capital market scenarios.
• Manage the full transformation of quantitative ideas from proof-of-concept to final client deliverables.
• Mentor junior colleagues and influence the team’s technical strategy.
• Facilitate discussions on modeling options and challenge assumptions with senior leadership.
• Gather and document precise model requirements.
• Report on development progress, attend working groups, and escalate risks or issues to senior stakeholders.
• Explain model results and findings to various stakeholders.

Requirements

• Postgraduate degree in a highly quantitative field.
• At least five years of industry experience in quantitative risk modeling within capital markets.
• Advanced proficiency in Python (preferred), R, or MATLAB.
• Strong grasp of statistical and econometric techniques, including time series analysis, regression, estimation methods, and machine learning.
• Excellent verbal and written communication skills.
• Fluency in English.
• Ability to meet tight deadlines in a fast-paced environment.
• Capacity to thrive in a dynamic, changing workplace.

Nice to have

• PhD in a quantitative discipline.
• German language proficiency.
• Practical experience with CCP risk models, including initial margin methodologies like SPAN and FHS, default fund calculations, and stress testing.
• Familiarity with EMIR, CPMI-IOSCO PFMI, and CCP regulatory reporting requirements.
• Experience in independently designing, developing, and validating statistical, econometric, and machine learning models.
• Skills in analyzing large datasets, including data cleaning, pattern identification, and clustering.
• Deep knowledge of financial markets and products.
• Experience with trading or clearing platforms such as Murex, Front Arena, FIS, or Calypso.
• Proficiency in Java.
• Background in digital assets, including tokens, blockchain, and Web3 technologies.

What the company offers

• Opportunities for professional growth and significant personal responsibility.
• Active involvement in project teams, directly engaging with clients to align product offerings with market needs and future trends.

About the company

Incorporated in 2005 as a spin-off from ETH Zürich, swissQuant Group AG is a privately held firm providing quantitative services, consultancy, and products to financial and industrial clients, including several Fortune 500 companies. The organization operates with a fast-paced, dynamic culture, leveraging intelligent technology to deliver measurable, bottom-line value to its clients.

• Fast-paced and dynamic work environment.
• Focus on translating intelligent technology into tangible client value.
• Collaborative project teams with direct client interaction.

How to apply

Documents to submit:

• Cover letter
• Reference letters