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Quantitative Finance Jobs in Wisconsin (NOW HIRING)

WI ยท On-site

$85 - $115/hr

... finance workgroup. On top of this continuous learning from local and international experts, we have developed an internal credit risk modelling program and an internal derivative valuation program.

WI ยท On-site

$81 - $110/hr

To support our strong growth, we are currently looking for a Quantitative Analyst. YUSO is looking ... Support business development with revenue simulations and financial modelling of large-scale ...

Bachelor's degree and at least 2 years of experience in an analytical role in finance, accounting, business management, quantitative analysis or economics OR High School Diploma/GED and at least 5 ...

Bachelor's degree and at least 2 years of experience in an analytical role in finance, accounting, business management, quantitative analysis or economics OR High School Diploma/GED and at least 5 ...

Performing assessments using quantitative and qualitative techniques, including AI-enabled ... Within the Finance Transformation offering, our Business Finance team helps drive strategic value ...

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Quantitative Finance information

See Wisconsin salary details

$31.3K

$91.4K

$147.4K

How much do quantitative finance jobs pay per year?

As of Aug 25, 2026, the average yearly pay for quantitative finance 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 is quantitative finance?

Quantitative finance is a field that uses mathematical models, statistics, and computational techniques to analyze financial markets and securities. Professionals in this area, known as 'quants,' develop algorithms and models to price assets, manage risk, and optimize investment strategies. Quantitative finance plays a critical role in investment banks, hedge funds, asset management firms, and financial technology companies. The field requires strong skills in mathematics, programming, and finance.

What are the key skills and qualifications needed to thrive in quantitative finance?

To thrive in Quantitative Finance, you need strong mathematical, statistical, and analytical skills, typically supported by an advanced degree in mathematics, finance, engineering, or a related field. Proficiency with programming languages like Python, R, or C++, as well as experience with financial modeling and platforms such as MATLAB or Bloomberg Terminal, is highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating on complex financial projects. These skills enable professionals to develop and implement sophisticated models that drive informed investment decisions and risk management in high-stakes financial environments.

What are some common challenges faced by professionals in quantitative finance roles, and how can they be addressed?

Professionals in quantitative finance often encounter challenges such as managing large and complex data sets, staying updated with rapidly evolving financial models, and ensuring accurate risk assessment in volatile markets. Collaboration with technology and trading teams is crucial to develop robust algorithms and implement models effectively. Continuous learning and adaptability are key, as the field demands keeping pace with new programming languages, statistical methods, and regulatory changes.

What is the difference between Quantitative Finance vs Quantitative Analysis?

AspectQuantitative FinanceQuantitative Analysis
Required CredentialsDegree in Finance, Mathematics, or related fields; often CFA or FRM certificationsDegree in Mathematics, Statistics, or Finance; certifications like CFA are common
Work EnvironmentFinancial institutions, hedge funds, investment banksAsset management firms, banks, trading desks
Employer & Industry UsageFocuses on developing trading strategies, risk management, and financial modelingAnalyzes data to inform trading decisions, risk assessment, and investment strategies

Quantitative Finance and Quantitative Analysis share overlapping skills and credentials, but Quantitative Finance emphasizes developing financial models and trading strategies, while Quantitative Analysis focuses on data analysis to support investment decisions. Both roles are vital in finance but serve different primary functions.

What jobs can you get with quantitative finance?

With a background in quantitative finance, common roles include quantitative analyst, risk manager, financial engineer, algorithmic trader, and data scientist. These positions typically require strong skills in mathematics, programming, and financial modeling, often utilizing tools like Python, R, or MATLAB, and may require relevant certifications such as CFA or FRM.

What are popular job titles related to Quantitative Finance jobs in Wisconsin?

For Quantitative Finance jobs in Wisconsin, the most frequently searched job titles are:

Infographic showing various Quantitative Finance job openings in Wisconsin as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $91,426 per year, or $44 per hour.

Senior Consultant Quantitative & Financial Risk - Financial Services

WI โ€ข On-site

$85 - $115/hr

Other

Posted 7 days ago


Job description

Senior Consultant Quantitative & Financial Risk โ€“ Financial Services

Other locations: Primary Location Only

Date: 19 May 2026

Requisition ID: 1702947

We have an opportunity for agile, marketโ€‘savvy professionals in quantitative & financial risk and modelling. The focus of our team is on credit risk modelling, banking credit risk regulation, market risk modelling and (derivative) valuation, and derivatives instruments. We look to strengthen our team with Senior Consultants with a solid knowledge in one or more of these fields.

The Belgian Risk practice acts as a center of excellence within the EMEIA region with respect to quantitative modelling. Among others, this means we have a robust and broad expertise in the practical aspects of credit modelling. Together with our equally eminent colleagues of the Data & Analytics team, we also work on Machine Learning applied to credit risk as well as climate risk modelling for financial institutions as part of our sustainable finance workgroup.

On top of this continuous learning from local and international experts, we have developed an internal credit risk modelling program and an internal derivative valuation program. Both programs consist of a mix of faceโ€‘toโ€‘face trainings, webโ€‘based learning and onโ€‘theโ€‘job training.

In Market Risk, we work on topics such as:

  • Capital Requirements Related (CRR): Regulatory topics โ€“ Fundamental Review of The Trading Book (FRTB), Interest Rate Risk in the Banking Book (IRRBB) and underlying models like preโ€‘payment models
  • Stressโ€‘Testing: Analysis and definition of stressโ€‘scenarios related to Market Risk Factors taking into account their statistical properties

Vanilla / complex derivatives (Multi-Asset / Path-Dependent / Skew Sensitive), credit and funding valuation adjustments, illiquid bond pricing. Also, prudent valuation is an important topic that is covered by the team.

The team also supports IFRS13 projects when it comes to the definition of Fair Value Levelling / Assessment of Observability of Input Parameters.

Aside of these purely technical areas, the team covers the review of Model Governance Frameworks as well, how institutions identify, monitor, measure and mitigate Model Risk, in particular for Pricing Models and Market Risk Capital Models.

Key Responsibilities

We are looking for a skilled quantitative professional, who may combine working on Belgian and European financial institutions. The ability to drive work forward to a conclusion, to find pragmatic solutions to complex problems and to explain and document them convincingly, are key factors in order to be successful in this role. Typical projects you will be involved in:

  • Participate in, and lead Risk engagements, with the focus credit risk modeling, including the link with accounting (e.g. IFRS 9)
  • You participate in engagements in the Risk practice, in the quantitative space, both from an advisory and an assurance perspective
  • Support banks in preparing for regulatory reviews, or help them mitigate model weaknessesAssist banks in any stage of the model life cycle (developing new models, backtesting, independent validation of credit models, โ€ฆ)
  • In the context of market risk and (derivative) valuation models typical tasks are:
    • Develop and apply EY tools & models
    • Participate to model development and model validation exercises
    • Identify new areas for further development of EY tools & models, including the innovative application of machine learning in this application domain
    • Assess the impact of climate risk and ESG considerations in general on market risk and (derivative) valuation model
  • Explore and exploit the potential of alternative data and machine learning techniques to help financial institutions bring their credit modelling to the next level
  • Investigate the impact of climate risk and ESG aspects in general on credit risk
  • Contribute to the standardization and automation of the model development and model validation process
  • Understand our full range of service offerings and actively identify and develop new opportunities to address emerging client needs
  • You coordinate the workload in various projects, and develop productive working relationships with internal and external clients
  • You prepare concise, complete and convincing reports on the work done, and present it to more senior colleagues and clients
  • You act as a team member, coaching and supervising junior staff, seeking guidance from senior colleagues as needed, and keeping everybody informed on the progress of the assignment.
Skills and Attributes for Success
  • Masterโ€™s degree in Physics, Mathematics, Statistics, Computer Science, Engineering or a relevant quantitative field
  • Between 2-5 years of relevant professional experience
  • Solid understanding of quantitative modeling techniques and practical experience with valuation of complex instruments (e.g. derivative, illiquid bonds) and/or market risk (e.g. FRTB, IRRBB, VAR models) is mandatory
  • Deep understanding of quantitative modeling techniques, with practical experience in credit risk (IRB, IFRS9) and practical experience with derivative pricing in one or more asset classes (FX, rates, equity, โ€ฆ)
  • Experience with building (risk) reports and experience with communication around (mathematical) complex issues at management level is a major plus
  • Knowledge of some key vendor packages, and some frequently used programming languages (R, Matlab, C++, Python, SAS) in the risk and/or valuation domain is mandatory
  • Strong interest in or some initial experience with machine learning algorithms
  • Proficient level of business English and good communication skills; knowledge of Dutch and/or French is a major asset
  • Team spirit, but selfโ€‘sufficient and autonomous
  • Pragmatic approach, with the ability to selfโ€‘motivate and inspire the members of a team
  • Eagerness to learn more about the Financial Services market in Belgium and Europe.
What working at EY Offers
  • You will be part of a leading global professional services firm.
  • You will be part of the EY family where everyone is willing to offer support and senior management is very accessible.
  • You will join a dynamic and growing team with a great mix of young and experienced professionals focusing on financial services.
  • You will get extensive trainings on technical matters, as well as soft skills and project management, and you will have access to new technologies and innovative equipment.
  • We are proud of our flexible working arrangements, and we will support you to build a successful career and deliver excellent client service, without sacrificing your personal priorities.
  • While our clientโ€‘facing profession might require partโ€‘time working at client site and business travelling at times, we are committed to helping you achieve a lifestyle balance.
Equal Opportunity

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disabilityโ€‘related adjustments or accommodations you may need.

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