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Quantitative Risk Management Jobs in Wisconsin (NOW HIRING)

Have demonstrated quantitative risk assessment (QRA) experience and expertly interpret and ... Have a degree or comparable experience in a project management or construction discipline * Have ...

Have demonstrated quantitative risk assessment (QRA) experience and expertly interpret and ... Have a degree or comparable experience in a project management or construction discipline * Have ...

Have demonstrated quantitative risk assessment (QRA) experience and expertly interpret and ... Have a degree or comparable experience in a project management or construction discipline * Have ...

Have demonstrated quantitative risk assessment (QRA) experience and expertly interpret and ... Have a degree or comparable experience in a project management or construction discipline * Have ...

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Quantitative Risk Management information

See Wisconsin salary details

$52K

$112.6K

$171.6K

How much do quantitative risk management jobs pay per year?

As of May 28, 2026, the average yearly pay for quantitative risk management in Wisconsin is $112,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $130,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical skills, expertise in statistics or mathematics, and typically a degree in finance, economics, or a quantitative discipline. Familiarity with risk modeling software, programming languages like Python or R, and industry certifications such as FRM or CFA is often required. Outstanding problem-solving abilities, attention to detail, and effective communication set top professionals apart in this role. These skills are crucial for accurately assessing financial risks, making informed decisions, and communicating complex findings to stakeholders.

How does a Quantitative Risk Management professional typically collaborate with other departments within a financial institution?

Quantitative Risk Management professionals frequently work closely with departments such as trading, finance, and compliance. They provide analytical support by developing risk models and stress-testing scenarios, ensuring that trading strategies and investment decisions align with the institution's risk appetite. Regular communication with IT teams is also common, as these professionals often need to implement or improve risk measurement tools and data systems. This cross-functional collaboration is essential for maintaining a robust risk management framework and responding effectively to emerging risks.

What is quantitative risk management?

Quantitative risk management is the process of using mathematical models, statistical techniques, and data analysis to identify, measure, and manage financial risks within an organization. Professionals in this field apply quantitative methods to assess potential losses from market movements, credit events, or operational failures, and help organizations make informed decisions to mitigate these risks. This approach is widely used in banking, insurance, asset management, and other financial sectors to ensure regulatory compliance and optimize risk-adjusted returns.

What is the difference between Quantitative Risk Management vs Quantitative Analyst?

AspectQuantitative Risk ManagementQuantitative Analyst
Primary FocusAssessing and managing financial risksDeveloping models for investment strategies
CertificationsFRM, PRMCFA, CQF
Work EnvironmentFinancial institutions, risk departmentsInvestment banks, asset management firms
Key SkillsRisk modeling, regulatory knowledgeStatistical analysis, programming

Quantitative Risk Management focuses on identifying and mitigating financial risks within organizations, often requiring risk-specific certifications like FRM. In contrast, Quantitative Analysts develop models to support trading and investment decisions, emphasizing statistical and programming skills. Both roles are vital in finance but serve different strategic purposes.

What are popular job titles related to Quantitative Risk Management jobs in Wisconsin? For Quantitative Risk Management jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Management jobs in Wisconsin look for? The top searched job categories for Quantitative Risk Management jobs in Wisconsin are:
Infographic showing various Quantitative Risk Management job openings in Wisconsin as of May 2026, with employment types broken down into 2% As Needed, 74% Full Time, 11% Part Time, 1% Temporary, and 12% Contract. Highlights an 14% Physical, 5% Hybrid, and 81% Remote job distribution, with an average salary of $112,599 per year, or $54.1 per hour.
Investment Risk Analyst

$80K - $90K/yr

Other

Posted 13 days ago


Job description

Investment Risk Analyst
Location US-WI-Milwaukee
ID 2026-1185
Position Type Full-Time
Category Investments
Overview

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.

Location(s): Milwaukee, Wisconsin USA

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
  • Ability to communicate effectively with audiences in person and in electronic formats
  • Day-to-day contact with others (co-workers and/or public)
  • Ability to 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).

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.

Compensation

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.)

Disclosure

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