Quantitative Analysis Specialist

S&P Global

. Calculate and oversee quarterly reporting of the ARC Wealth Private Client Indices covering 140+ wealth managers and 500,000+ portfolios .

Posted 10/25/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in financial markets and investment portfolio analysis, with strong analytical skills and the ability to manage complex data reporting processes. Proficient in optimizing reporting infrastructure and utilizing data-driven approaches for performance evaluation.

Highest-signal resume keywords

Financial Markets ExperienceInvestment Portfolio AnalysisSQL KnowledgePython KnowledgePower BI Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPortfolio Performance AnalysisData Collection ManagementVBA AutomationRisk-Based Analysis

Soft Skills

Analytical SkillsCuriosityCollaborationAdaptability

Tools & Technologies

Power BISQLPythonVBA

Industry Keywords

Wealth ManagementInvestment ReportingData-Driven ApproachPortfolio ManagementQuantitative Analysis

Tech Stack

Tools & technologies

PythonSQLVBA

About the role

Key responsibilities & impact

Calculate and oversee quarterly reporting of the ARC Wealth Private Client Indices covering 140+ wealth managers and 500,000+ portfolios
Manage assigned client data collection and reporting processes across private clients and managed portfolio datasets
Analyze portfolio performance and investment data using a risk-based and data-driven approach
Contribute to technical production and quality assurance of investment reporting outputs
Support development and optimization of reporting infrastructure and VBA-based automation processes
Co-manage MPS/Fund data production and quarterly reporting of 1,800+ solutions
Manage data collection and input for the Charity Multi-Asset Fund Review across 14 contributors
Assist with production of daily and monthly estimates

Requirements

What you’ll need

Practical experience in financial markets, with a focus on investment portfolios
Educated to degree level or possess equivalent professional experience in a quantitative field
Knowledge of SQL, Python and Power BI would be useful but not essential
Numerate with good analytical skills
Ability to distill complex data structures into clear usable streams for processing
Ability to thrive in a high-trust, peer-reviewed environment where ideas and methodologies are openly shared and refined
Curiosity and ability to investigate the reasons behind data patterns
External candidates reaching the final interview stage must attend at least one in-person interview, ordinarily at the nearest S&P Global office

Benefits

Comp & perks

Health care coverage designed for the mind and body
Generous time off
Continuous learning resources and career development opportunities
Competitive pay
Retirement planning
Continuing education program
Company-matched student loan contribution
Financial wellness programs
Family-friendly benefits for partners and children
Retail discounts
Referral incentive awards