Senior Specialist, Risk and Data

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.