ABOUT INNOCAP
Innocap is the world’s leading firm of managed account platform services. With over US$100 billion in assets under management, over 500 employees and offices in five countries, we are shaping the future of alternative investments for institutional owners and allocators. Our mission is to revolutionize the asset management industry and to provide customized expert services and an exceptional client experience.
We are seeking forward-thinking individuals to join us on our exciting journey. Innocap’s success is built on the diversity of our people and the strength of their ambitions. We empower our teams and foster a culture of inclusivity, collaboration, innovation, and growth. At Innocap, you'll have the opportunity to enhance your career, work on exciting projects, and make a real impact.
ABOUT THE ROLE
The Senior Specialist, Risk & Data is responsible for ensuring the integrity, accuracy, and usability of hedge fund holdings data for performance and risk measurement within client reporting. Acting as a key escalation point for complex data issues, this role coordinates across internal and external stakeholders and drives process improvements to deliver high-quality analytics to institutional clients and senior leadership.
The successful candidate will play a critical role in strengthening Innocap’s strategic reporting capabilities by delivering the following outcomes:
Risk Mitigation: Minimize exposure to errors in holdings-based performance and risk reporting.
Client Satisfaction: Improve responsiveness to internal client-facing teams related to inquiries, reinforcing trust with sophisticated institutional investors.
Scalability: Enable business growth by enhancing efficiency and ensuring data reliability across the platform.
The Senior Specialist, Risk & Data has the following main responsibilities:
Data Integrity & Issue Resolution
Act as the escalation point for complex data inquiries and issues impacting holdings-based performance and risk measurement in client reporting.
Validate and reconcile hedge fund holdings, pricing, and security-level data across multiple sources.
Coordinate with hedge fund administrators, trading advisors, and counterparties to resolve discrepancies and breaks.
Cross-Functional Coordination
Serve as a liaison between Risk & Data and internal teams (Investment, Platform Operations, Platform Accounting, and Technology) to ensure data alignment across functional groups.
Coordinate resources and remediate data issues promptly.
Quality Control & Governance
Design and enforce rigorous quality control procedures tailored to hedge fund strategies, asset classes, and performance/risk methodologies.
Drive and maintain a data governance framework for hedge fund holdings, ensuring compliance with internal standards.
Analytics & Reporting
Ensure performance and risk analytics are accurate, robust, and suitable for consumption by sophisticated institutional investors and senior stakeholders.
Maintain a tracking system for client inquiries and data issues to monitor trends and resolution timelines.
Process Optimization & Automation
Identify and lead workflow enhancements, automation initiatives, and system improvements to increase efficiency and streamline reconciliation and anomaly resolution.
Define and implement tailored ETL processes for various hedge fund holding data feeds.
PRIMARY QUALIFICATIONS & EXPERIENCE
7+ years of experience in investment risk management, data governance, or quantitative analytics within alternative investments or institutional asset management.
Bachelor’s degree in Finance, Economics, Data Science, or a related quantitative field; CFA or FRM designation strongly preferred.
Demonstrated ability to manage complex holdings-based data workflows, including reconciliation, validation, and issue resolution for performance and risk reporting.
Proven experience in implementing and optimizing data governance frameworks and quality control processes for multi-asset hedge fund strategies.
Strong hands-on expertise with risk and analytics platforms (e.g., Axioma, BlackRock Aladdin, RiskMetrics, Barra, FactSet) and advanced proficiency with Bloomberg and Refinitiv Eikon.
Advanced working knowledge of risk analytics methodologies, including Value at Risk, Stress Testing, Sensitivity Analysis, and Greeks.
In-depth knowledge of financial instruments and pricing mechanics across equities, fixed income, derivatives, and structured products.
Solid understanding of hedge fund strategies (e.g., equity long/short, global macro, credit, relative value, multi-strategy) and their risk characteristics.
Ability to translate complex data and analytics into actionable insights for internal stakeholders and client-facing teams.
Highly detail-oriented, proactive, and capable of driving process improvements and automation initiatives to enhance scalability and efficiency.
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