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Credit Risk Data Science Jobs in Boynton Beach, FL

Access Labs LLC

Data Scientist

North Palm Beach, FL

... data science techniques to develop solutions that improve operational efficiency, customer ... Develop predictive churn models to identify clients at risk and recommend retention strategies.

New

RELX

Business Consultant Specialist

Boca Raton, FL · On-site

  • Medical

  • Life

... Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at ... Analyze large-scale usage datasets using SQL and data science methodologies to identify trends ...

RELX

Director, AI Strategy & Execution

Boca Raton, FL · On-site

... Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at ... Bachelor's degree in Business, Technology, Data Science, Engineering, Organizational Leadership, or ...

RELX

AI Data Analyst

Boca Raton, FL · On-site

  • Medical

  • Life

... Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at ... the link below, About the Team: We are a newly formed Enterprise AI team focused on enabling agent ...

RELX

AI Agent Engineer

Boca Raton, FL

$75K - $100K/yr

  • Medical

  • Life

... Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at ... A pure data science or analytics position Career Growth This role provides a strong foundation for ...

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Credit Risk Data Science information

See Boynton Beach, FL salary details

$34.7K

$106.7K

$185.1K

How much do credit risk data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for credit risk data science in Boynton Beach, FL is $106,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $131,700.00 per year, depending on experience, location, and employer.

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 job categories do people searching Credit Risk Data Science jobs in Boynton Beach, FL look for?

The top searched job categories for Credit Risk Data Science jobs in Boynton Beach, FL are:

What cities near Boynton Beach, FL are hiring for Credit Risk Data Science jobs?

Cities near Boynton Beach, FL with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you

Senior Data Scientist - Credit Risk Modeler

JM Family Enterprises

Deerfield Beach, FL • On-site

Full-time

Re-posted 8 days ago

JM Family Enterprises rating

9.1

Company rating: 9.1 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

4th of 153 rated car dealerships

Job description

The Senior Data Scientist - Credit Risk Modeler will work in the Analytics Department of Southeast Toyota Finance (SETF), which is part of JM Family Enterprises. They will lead the development, validation, and implementation of CECL models and frameworks at the account level.
This individual will need to have a solid statistical, mathematical and programming skills with experience in credit risk modeling. This role requires cross-functional collaboration with partner teams such as Finance and Accounting to ensure accurate estimation of credit losses.
This position operates in a hybrid work model based in Deerfield Beach, FL (3 days per week onsite).
Responsibilities:
  • Lead the development and implementation of account-level loss forecasting models- Probability of Default, Exposure at Default, Loss Given Default, Prepay curves or models, and other forward-looking credit risk models.
  • Develop and maintain documentation, code, and implementation documents in compliance with best practices and standards.
  • Perform back testing and benchmarking exercises to ensure model accuracy and robustness.
  • Conduct assessments for overlays/adjustments and maintain accurate documentation in accordance with best practices and standards.
  • Analyze large datasets in a panel framework with the ability to perform sampling, exploratory analysis, outlier analysis, standardization, data transformation, and segmentation analysis.
  • Conduct stress testing, scenario analysis and sensitivity testing.
  • Proficiently communicate complex technical concepts to stakeholders.
  • Work on end-to-end modeling processes, including data procurement, model estimation, implementation and deployment, and monitoring and testing.
  • Provide insights from the models and modeling exercises to support business risk management and strategies.
  • Track the portfolio in detail. Analyze and report on the findings. Provide forecasts. Provide detailed explanatory analysis and make recommendations to senior management; Proactively identifying risks and opportunities based on current trends and future outlooks.
  • Collaborate with cross-functional teams, including accounting, finance, risk, and other company stakeholders.

Qualifications:
  • A master's or Ph.D. degree in statistics, data science, operations research, mathematics, and/or other quantitative analysis is required
  • 5+ years of financial, credit risk, and analytics resource management; indirect automotive lending experience and/or consumer lending preferred.
  • Minimum of 5 years of statistical modeling and/or quantitative analysis experience
  • Experience in using Python, SAS, R, or any comparable statistical or data extraction software is preferred.
  • Experience managing advanced modeling projects and collaborating well with other team members.
  • Well-developed interpersonal and communication skills (verbal and written)
  • Ability to diplomatically communicate findings across departments and to upper management.
  • Ability to successfully operate with multiple priorities and changing directives. Self-motivated with the ability to anticipate department needs, discern work priorities, and meet deadlines.
  • Forward thinker who actively seeks opportunities and proposes solutions.
  • Must be a highly detailed process-driven individual who demonstrates success at building trust and influence while driving for results with and through people.

#LI-AM1
This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of JM Family. All work arrangements are subject to associate performance, business need and manager discretion, and may be revised as necessary.
JM FAMILY IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER
JM Family Enterprises, Inc. is an Equal Employment Opportunity employer. We are committed to recruiting, hiring, retaining, and promoting qualified associates without regard any characteristic protected by law - whether actual or perceived - including race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity gender expression, sexual orientation, marital status, military service, veteran status, disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, provincial, or local law.
DISABILITY ACCOMMODATIONS
If you have a disability and require a reasonable accommodation to complete the job application process, please contact JM Family's Talent Acquisition department at talentacquisition@jmfamily.com for assistance. If you have an accommodation request for one of our recruiting events, please notify us at least 72 hours prior so that we may provide assistance.

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