1

Quantitative Risk Jobs in Wisconsin (NOW HIRING)

Ensure ongoing oversight and deliverance of an effective risk management monitoring program through review, metrics, analysis and preparation of qualitative/quantitative risk assessments and ...

Ensure ongoing oversight and deliverance of an effective risk management monitoring program through review, metrics, analysis and preparation of qualitative/quantitative risk assessments and ...

Uses quantitative methods to research modeling methodology for the development, refinement and parameter updates for risk/reward-based framework. A typical day: * Examines large data sets to identify ...

Have demonstrated quantitative risk assessment (QRA) experience and expertly interpret and communicate findings to key partners * Are detailed, organized and quality focused * Have a degree or ...

Have demonstrated quantitative risk assessment (QRA) experience and expertly interpret and communicate findings to key partners * Are detailed ordinated and quality focused * Have a degree or ...

Have demonstrated quantitative risk assessment (QRA) experience and expertly interpret and communicate findings to key partners * Are detailed ordinated and quality focused * Have a degree or ...

Have demonstrated quantitative risk assessment (QRA) experience and expertly interpret and communicate findings to key partners * Are detailed ordinated and quality focused * Have a degree or ...

next page

Showing results 1-20

Quantitative Risk information

See Wisconsin salary details

$31.3K

$91.4K

$147.4K

How much do quantitative risk jobs pay per year?

As of May 28, 2026, the average yearly pay for quantitative risk in Wisconsin is $91,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $120,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Quantitative Risk Analyst, you need strong analytical skills, expertise in statistics and mathematics, and a relevant degree such as finance, mathematics, or engineering. Familiarity with statistical software (such as R, Python, or SAS), risk modeling tools, and industry certifications like FRM or CFA is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting strategic decisions, and ensuring the financial stability of organizations.

How do Quantitative Risk professionals typically collaborate with other departments within a financial institution?

Quantitative Risk professionals frequently work with various teams such as trading, portfolio management, compliance, and IT. This collaboration helps ensure that risk models accurately reflect real-world exposures and regulatory standards. Effective communication is key, as Quantitative Risk staff must translate complex data and models into actionable insights for non-technical stakeholders. Regular cross-departmental meetings and project-based collaborations are common, promoting a dynamic and integrated work environment.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a finance professional who uses mathematical models and statistical techniques to assess and manage financial risks for organizations, particularly in banking, investment, and insurance sectors. They analyze data, develop risk models, and help companies make informed decisions to minimize potential losses. Their work involves programming, data analysis, and communicating complex risk scenarios to stakeholders. Quantitative Risk Analysts play a crucial role in ensuring that organizations remain financially stable and compliant with regulatory requirements.

What is the difference between Quantitative Risk vs Quantitative Analyst?

AspectQuantitative RiskQuantitative Analyst
Primary FocusAssessing and managing financial risks using quantitative methodsDeveloping models and strategies to analyze financial data and inform investment decisions
Required CredentialsOften requires risk management certifications (FRM, PRM), advanced degrees in finance, mathematics, or statisticsTypically requires degrees in finance, economics, mathematics, or related fields; certifications like CFA may be common
Work EnvironmentFinancial institutions, risk management departments, banksInvestment firms, hedge funds, banks, financial services companies

Quantitative Risk professionals focus on identifying and mitigating financial risks through specialized models, while Quantitative Analysts develop analytical models to support trading, investment, and financial decision-making. Both roles require strong quantitative skills and often similar educational backgrounds, but their core objectives differ: risk management versus financial analysis and strategy development.

What are popular job titles related to Quantitative Risk jobs in Wisconsin? For Quantitative Risk jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Quantitative Risk jobs? Cities in Wisconsin with the most Quantitative Risk job openings:

Manager, Structural Market Risk

BMO Capital Markets

Milwaukee, WI • On-site

$88.80K - $165.60K/yr

Full-time

Medical, Life, Retirement

Posted 19 days ago


Job description

Application Deadline:

05/25/2026

Address:

320 S Canal Street

Job Family Group:

Finance & Accounting

The Manager, Structural Market Risk (SMR) supports the research, development, and enhancement of quantitative risk models that measure and manage structural market risk across the Bank's portfolios in coordination with the quantitative modeling team. This role develops and implements methodologies for products with contractual maturities and embedded optionality, ensuring risks are accurately identified, measured, and integrated into effective risk management practices. The role collaborates closely with lines of business, other Corporate Treasury teams and oversight partners to strengthen the Bank's SMR framework.

Key Accountabilities:

Model Development & Implementation

  • Coordinate the development, enhancement, and implementation of SMR models with the quantitative modeling team, including valuation of embedded options, customer behavioral models, and Earnings-at-Risk/economic valuation methodologies.

  • Perform model testing and coordinate model implementation across QRM Architecture, SMR Analytics & Reporting and model development teams.

  • Maintain comprehensive documentation covering model assumptions, methodologies, testing and impact analyses.

  • Ensure that models and nonmodel assumptions meet Bank policies, standards, and regulatory requirements.

  • Perform ongoing backtesting, stresstesting, and benchmarking activities, recommending refinements to maintain model effectiveness.

Assumption Governance & Analytical Support

  • Develop, validate, and periodically review key nonmodel assumptions that drive valuation and earnings estimates.

  • Provide subject matter expertise on behavioral modeling requirements, ensuring alignment across SMR, Funds Transfer Pricing (FTP), and corporate planning/forecasting.

  • Conduct quantitative analyses to support FTP rate components, including option costs, prepayment rates, and product cashflow characteristics.

  • Ensure consistency in assumptions and methodologies across structural market risk, FTP, and hedging strategies.

Stakeholder Collaboration & Advisory

  • Partner with business and product owners to understand product features, embedded optionality, and customer behavior drivers.

  • Provide insights to senior leaders, offering strategic input on SMR methodologies, regulatory expectations, and risk impacts.

  • Lead responses to review and challenge from Market Risk, Model Risk, Internal/External Audit, and regulators.

  • Build strong relationships with internal and external stakeholders, contributing competitive insights and industry best practices.

Reporting, Data, and Process Optimization

  • Define reporting requirements and design and produce dashboards, analytics, and adhoc reports supporting SMR decisionmaking.

  • Manage and integrate data across relevant sources in compliance with data governance standards.

  • Support the optimization of SMR measurement, reporting, and risk management processes, including supporting hedging strategy enhancements.

  • Monitor the financial market environment and assess implications on model performance and structural risk metrics.

Strategic Projects & Change Management

  • Support strategic initiatives related to SMR, model improvements or Corporate Treasury processes.

  • Develop business cases, recommend priorities, and recommend resource requirements to advance key initiatives.

  • Facilitate change management activities, ensuring effective planning, execution, and sustainment of new processes, models or methodologies.

  • Apply creativity and experience to address complex, ambiguous, and nonroutine risk and modeling challenges.

Qualifications

  • 5-7 years of experience in Asset Liability Management, Market Risk Management or related quantitative risk domains.

  • Experience running the QRM Asset Liability Management Framework (or similar ALM software), including configuring, testing and implementing behavioral models.

  • Experience in fixed income, derivatives and valuation of instruments with embedded options.

  • Demonstrated understanding of FTP methodologies, stochastic valuation techniques and loan prepayment modeling.

  • Postsecondary degree in a relevant field; advanced degree in quantitative disciplines (e.g., Computer Science, Mathematics, Physics, Engineering, Statistics, Finance) preferred.

  • Professional designations in finance or risk (e.g., FRM, CFA) preferred.

  • Advanced proficiency with Excel, SQL, VBA, and Python; knowledge of AI prompting best practices.

  • Experience with risk management, financial market products, valuation and balance sheet/ALM functions.

  • Indepth understanding of quantitative modeling, statistics, financial metrics and datadriven decisionmaking.

  • Excellent communication, analytical, problemsolving, collaboration, and influence skills; ability to manage ambiguity and operate across the enterprise.

Salary:

$88,800.00 - $165,600.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.