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Credit Risk Data Science Jobs in Wisconsin (NOW HIRING)

WI · On-site

$85 - $115/hr

... the Data & Analytics team, we also work on Machine Learning applied to credit risk as well as ... Master's degree in Physics, Mathematics, Statistics, Computer Science, Engineering or a relevant ...

New

... Credit Union's enterprise data, analytics, and artificial intelligence strategy to improve member experience, operational efficiency, business decision-making, and risk management. This position ...

WI · On-site

$140 - $190/hr

... high-quality data science solutions. This role provides critical feedback on translating ... Leads evaluation of AI-enabled initiatives, including impact assessment, risk analysis, and ...

WI · On-site

$90 - $150/hr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Health ... Risk Management * Independent Work Certifications & Qualifications * SECRET Security Clearance ...

WI · On-site

$100 - $130/hr

About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence ... risk for compliance and investigations teams. We're looking for a data scientist who is as ...

Director / VP of Credit

Milwaukee, WI · On-site

$100 - $150/hr

Own and uphold credit integrity, risk governance, and overall investment quality across the ... Take on special projects, gather data, and prepare ad hoc and recurring reports for senior ...

Key Responsibilities Credit Leadership & Governance • Own and uphold credit integrity, risk ... data, and prepare ad hoc and recurring reports for senior management and other stakeholders ...

Key Responsibilities Credit Leadership & Governance • Own and uphold credit integrity, risk ... data, and prepare ad hoc and recurring reports for senior management and other stakeholders ...

... correspondent credit services, international services, bank card products, and risk management ... Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible ...

... correspondent credit services, international services, bank card products, and risk management ... Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible ...

... correspondent credit services, international services, bank card products, and risk management ... Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible ...

WI · On-site

$200 - $269/hr

Advanced degrees in Business, Engineering or Data Science or related field* Experience in financial services lending, credit, risk, analytics* Hands-on experience in modeling tools (e.g., Sagemaker ...

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related ...

Showing results 21-40

Credit Risk Data Science information

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What are popular job titles related to Credit Risk Data Science jobs in Wisconsin?

For Credit Risk Data Science jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Credit Risk Data Science jobs in Wisconsin look for?

The top searched job categories for Credit Risk Data Science jobs in Wisconsin are:

Infographic showing various Credit Risk Data Science job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Consultant Quantitative & Financial Risk - Financial Services

Ernst & Young Advisory Services Sdn Bhd

WI • On-site

$85 - $115/hr

Other

Posted 2 days ago

New


Job description

Senior Consultant Quantitative & Financial Risk – Financial Services

Other locations: Primary Location Only

Date: 19 May 2026

Requisition ID: 1702947

We have an opportunity for agile, market‑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 face‑to‑face trainings, web‑based learning and on‑the‑job training.

In Market Risk, we work on topics such as:

  • Capital Requirements Related (CRR): Regulatory topics – Fundamental Review of The Trading Book (FRTB), Interest Rate Risk in the Banking Book (IRRBB) and underlying models like pre‑payment models
  • Stress‑Testing: Analysis and definition of stress‑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, …)
  • 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
  • Master’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, …)
  • 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 self‑sufficient and autonomous
  • Pragmatic approach, with the ability to self‑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 client‑facing profession might require part‑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 disability‑related adjustments or accommodations you may need.

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