Investment Risk Analyst

The Investment Risk Analyst supports daily valuation oversight and mutual fund risk management as part of the Allspring Investment Analytics team, partnering with internal stakeholders and external service providers to help ensure data quality, sound controls, and timely reporting.

We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days a week. This role may periodically require a shifted schedule, including evening hours, to support time-sensitive deliverables and issue resolution.

We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days per week.  

Location(s): Milwaukee, Wisconsin USA

• 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.

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.

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).

Please note: This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in The United States without sponsorship now or in the future.

Base Pay Range: $80,000 - $90,000 

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary internal peers, prior performance, business sector, and geographic location.  In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)

We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status