Investment Risk Analyst

Responsibilities

• Perform daily valuation oversight activities for mutual funds, including data review, exception tracking, and documentation.
• Investigate pricing breaks, NAV exceptions, and other data quality issues; summarize findings, recommend next steps, and escalate as needed.
• Produce, validate, and distribute risk reporting (daily/weekly/monthly/quarterly), including reasonability checks and variance explanations.
• Partner with fund accounting, operations, risk, compliance, technology, and external providers (e.g., fund accountants and pricing vendors) to resolve issues, improve data quality, and support process continuity.
• Support business initiatives and service provider or system changes impacting valuation or risk analytics, including requirements gathering, testing/UAT, parallel runs, and implementation documentation.
• Build and enhance practical tools using Python code and AI tools to automate workflows, improve daily checks, and streamline risk and valuation processes.
• Maintain and continuously improve procedures, controls, and audit-ready evidence.
• Support ad hoc investment, risk, and valuation analysis and respond to stakeholder inquiries, under guidance of senior analysts.

Qualifications

• Required Qualifications: Bachelor’s degree in finance, accounting, economics, mathematics, statistics, computer science, engineering, or a related field (or equivalent work experience).
• Strong attention to detail and controls mindset with the ability to investigate exceptions, document work clearly, and escalate issues appropriately.
• Clear written and verbal communication skills.
• Strong quantitative and analytical skills with the ability to work accurately with large datasets.
• Ability to use AI tools responsibly to accelerate research, documentation, and basic programming tasks while validating outputs and following firm policies.
• Ability to learn and navigate multiple financial systems and data sources.
• Flexibility to periodically work a shifted schedule, including evening hours, to support business needs.
• Ability to work independently and collaboratively in a cross-functional environment.
• Remain in stationary position for prolonged periods of time.
• Operate computer programs and software.
• Communicate effectively with audiences in person and in electronic formats.
• Day-to-day contact with others (co-workers and/or public).
• Work in a collaborative business environment in close quarters with peers and varying interruptions.
• Preferred Qualifications: 1–5 years of relevant experience (including internships/co-ops) in fund accounting/operations, pricing/valuation, performance, risk, investment research, or audit.
• Experience with mutual fund operations concepts (e.g., NAV process, pricing sources, corporate actions, or fair valuation).
• Progress toward CFA designation (CFA Level I candidate or passed Level I) preferred.
• Intermediate proficiency with data and automation tools, including Excel, SQL Python, Power BI, and/or Tableau.
• Familiarity with agentic AI concepts and experience developing AI-enabled workflows (e.g., prompt patterns, tool use, and validation/controls).
• Familiarity with market data and risk platforms (e.g., Bloomberg).
• Exposure to control frameworks and audit support (e.g., maintaining evidence, performing checklists/reconciliations, documenting procedures).