Quant Researcher - Associate - Multi-Asset Solutions - Job Opportunity at Goldman Sachs
EUR 120,000 - 160,000 annual base plus significant bonus potential typical for Goldman Sachs quantitative roles
Benefits
Market-leading compensation package typical of Goldman Sachs
Comprehensive health and retirement benefits
Professional development opportunities
Global mobility opportunities
Work-life balance programs
Key Responsibilities
Lead research initiatives for Strategic Asset Allocation (SAA) and ALM approaches serving major institutional clients
Conduct sophisticated quantitative analyses using ALM models to generate actionable investment insights
Drive enhancement and maintenance of ALM models to improve robustness and efficiency
Collaborate with global research teams and portfolio managers on investment strategies
Requirements
Education
Master's degree or higher in mathematics, physics, computer science, financial engineering, or related technical discipline
Experience
Minimum 3 years
Required Skills
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Sauge AI Market Intelligence
Industry Trends
Role Significance
Typically part of a specialized team of 5-10 quantitative researchers within larger Multi-Asset Solutions division
Mid to senior-level position with significant impact on investment strategies for major institutional clients
Key Projects
Success Factors
Market Demand
Very high demand due to pension reform implementation and shortage of quantitative talent with domain expertise
Important Skills
Critical Skills
Beneficial Skills
Unique Aspects
Rare opportunity to work on Dutch pension transition implementation at a global financial institution
Combination of theoretical quantitative work with practical investment implementation
Access to sophisticated proprietary research and technology infrastructure
Career Growth
2-4 years in role before advancement opportunity, depending on performance and business growth
Potential Next Roles
Company Overview
Goldman Sachs
Goldman Sachs is a global leader in investment banking and securities, with a strong focus on technological innovation in financial services
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Data Sources & Analysis Information
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