Senior Principal Quantitative Analyst

Company Brief (Confidential)

Our client is a global leader in financial intelligence and investment research, serving investors, advisors, asset managers, and institutions across multiple markets worldwide.

mission-critical investment data platform

The organization is currently undergoing a major data modernization and quality transformation journey, leveraging advanced statistics, AI/ML, automation, and cloud-native architectures to elevate data trust, observability, and scalability to institutional standards.

This role is part of that transformation and sits at the heart of global investment data quality and model readiness.

About the Role

Senior Principal quantitative leadership

As a Senior Principal Quantitative Analyst, you will operate at the intersection of quantitative finance, applied statistics, AI/ML, and data governance, defining how data quality is measured, predicted, automated, and trusted before it feeds downstream investment models and analytics platforms.

Why This Role Is Critical

• You will define and own quantitative data quality frameworks at global scale
• You will apply AI/ML to proactively prevent data issues, not just detect them
• You will influence data architecture, governance, and regulatory readiness
• You will work closely with quant researchers, data scientists, engineers, and senior leaders
• Your work will directly impact investment decisions, client trust, and regulatory defensibility

Key Responsibilities

• Lead the design, implementation, and evolution of quantitative data quality frameworks, including statistical validation, anomaly detection, and drift analysis
• Build and deploy AI/ML-driven predictive quality checks to proactively identify and prevent data inconsistencies
• Apply advanced statistical techniques such as time-series analysis, regression modeling, and Bayesian inference to monitor and assess data integrity
• Collaborate with quantitative researchers, data scientists, and engineers to ensure data readiness for investment models and algorithms
• Create automated, scalable, and auditable validation pipelines with real-time monitoring and exception reporting
• Partner with stakeholders to uphold data governance, privacy, and regulatory compliance standards
• Mentor and guide junior analysts, fostering a culture of analytical rigor, innovation, and continuous improvement
• Translate complex quantitative insights into clear, actionable narratives for senior leadership and non-technical stakeholders
• Drive innovation through automation-first approaches, reproducible modeling pipelines, and ML-based data correction systems
• Contribute to the modernization of data platforms by integrating data observability, telemetry, and metadata-driven quality measures

## What Were Looking For

Core Expertise

• Strong foundation in quantitative finance, econometrics, and applied statistics
• Deep understanding of financial instruments, fund structures, NAVs, returns, and performance analytics
• Proven experience handling large-scale structured and unstructured financial data
• Exceptional analytical thinking and statistical reasoning skills
• Ability to lead through influence in cross-functional, fast-paced environments

Technical Skills

• Hands-on expertise in Python, R, and SQL
• Experience using AI/ML frameworks for anomaly detection and predictive modeling (e.g., scikit-learn, TensorFlow, PyTorch)
• Exposure to cloud-based data ecosystems and modern data platforms
• Strong experience with automation, data pipelines, and validation frameworks

Governance & Leadership

• Working knowledge of data governance, lineage, auditability, and regulatory standards
• Strong communication skills with the ability to explain complex concepts to senior stakeholders
• Demonstrated mentorship and leadership maturity

Preferred Qualifications

• Masters degree in Statistics, Mathematics, Financial Engineering, Data Science, or Quantitative Finance
• Professional certifications such as CFA, FRM, CQF, or Six Sigma Black Belt
• Prior experience in financial services, asset management, market data, or fintech environments
• Entrepreneurial mindset with a passion for innovation, scalability, and long-term impact.

What This Role Offers

• Ownership of mission-critical investment data quality systems
• Opportunity to define global standards, not just follow them
• Exposure to cutting-edge AI/ML applications in financial data quality
• High visibility and strategic influence in a global organization
• Long-term career growth

If you are driven by analytical depth, intellectual rigor, and building data systems that markets trust, this role will challenge and reward you in equal measure.