1

Credit Risk Data Science Jobs in Miami, FL (NOW HIRING)

... credit risk, stress testing, and related financial risks. The Head of Financial Risk ensures ... CFA, FRM, PRM, or comparable professional certification, as well as data analytics or reporting ...

Design and implement advanced ML models and statistical methods to optimize forecasting, risk ... A Master's degree in Data Science, Machine Learning, Statistics, or a related field, or nine (9) ...

Provides research into industry trends and evaluation of market data impacting prospective or ... Working knowledge of applicable industry laws and regulations required to review credit risk. Solid ...

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Credit Risk, Liquidity Risk, Market Risk, Capital Management/Stress Testing * Knowledge of ...

Experience building credit or risk models for Financial Services, Lending, or Insurance. * Experience in validating models to identify ongoing improvements. * Rock Solid data science skillset:

Experience building credit or risk models for Financial Services, Lending, or Insurance. * Experience in validating models to identify ongoing improvements. * Rock Solid data science skillset:

Experience building credit or risk models for Financial Services, Lending, or Insurance. * Experience in validating models to identify ongoing improvements. * Rock Solid data science skillset:

... risk management, and compliance teams to maintain accurate documentation and adherence to internal policies and external regulations. By analyzing credit data and financial statements, the officer ...

... risk management, and compliance teams to maintain accurate documentation and adherence to internal policies and external regulations. By analyzing credit data and financial statements, the officer ...

... Risk Management/Insurance, Science - Leveraging advanced skills in data visualization tools like QlikView and Spotfire - Demonstrating proficiency in business intelligence development and reporting ...

Showing results 41-60

Credit Risk Data Science information

See Miami, FL salary details

$35.4K

$108.9K

$188.9K

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

As of Aug 19, 2026, the average yearly pay for credit risk data science in Miami, FL is $108,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,900.00 and $134,400.00 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 are popular job titles related to Credit Risk Data Science jobs in Miami, FL?

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

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

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

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

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

Senior Data Scientist with Security Clearance

MANTECH

Miami, FL • On-site

Other

Posted 15 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 245 rated software companies


Job description

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in Doral, FL. Responsibilities include but are not limited to: * Lead the development and implementation of innovative data strategies and frameworks, driving data-driven decision-making and organizational learning
* Provide expert guidance and mentorship to other Data Scientists and Analysts, fostering a culture of data literacy and collaboration across the organization
* Lead the design and implementation of complex data collection, storage, and retrieval processes, ensuring data quality, integrity, and accessibility for analysis and reporting
* Conduct advanced data analysis and modeling, using cutting-edge statistical techniques, data mining, and machine learning algorithms to uncover hidden patterns, trends, and correlations within large data sets
* Develop predictive models, conduct simulations, and perform statistical analysis to provide actionable insights that drive strategic initiatives, optimize program performance, and support informed decision-making
* Create sophisticated reports, dashboards, and visualizations to effectively communicate complex data findings and insights to stakeholders at all levels of the organization
* Contribute to the development and implementation of data governance policies, ensuring compliance with regulatory requirements and industry best practices. Contribute to the data science community through publications, presentations, and participation in industry events, sharing knowledge and expertise to advance the field
Minimum Qualifications: * Four (4) years of relevant experience in data science, data analytics or in a related role.
* Bachelor's degree in relevant field of study, Data Science, Data Analytics, Computer Science, Information Technology, etc.. A degree can be substituted for additional experience: High School Diploma and 4 years of additional experience or Associate's Degree and 2 years of additional experience.
* A relevant Master's degree is equivalent to 2 years of related experience. A relevant PhD is equivalent to 4 years of related experience.
* Proficiency in data analysis tools and languages (e.g., Python with pandas, scikit-learn, R, SQL), including experience with distributed computing frameworks (e.g., Hadoop, Spark).
* Experience with data visualization tools (e.g., Tableau, Power BI) and techniques, including the ability to create compelling data stories and presentations. Deep knowledge of data warehousing, Data Lake concepts, and data architecture principles. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and their associated data storage, processing, and analytics services.
* Demonstrated experience in developing and implementing data strategies and frameworks, aligning data initiatives with organizational goals and objectives. Strong understanding of data governance principles, best practices, and relevant data security and privacy regulations (e.g., GDPR, CCPA). Preferred Qualifications: * Master's degree or PhD in Data Science, Information Technology, Cybersecurity, Computer Science, or related field.
* Demonstrated knowledge of IT service management best practices and their integration with data science initiatives. Experience with Risk Management Framework (RMF) and its application to data security and privacy. Experience with Zero Trust Architecture principles and their implementation in data environments.
* Contributions to industry publications or presentations on data science topics, demonstrating thought leadership and a commitment to advancing the field. Active participation in professional data science communities and organizations.
* Relevant certifications in data science or data analytics (e.g., Certified Analytics Professional (CAP), Cloudera Certified Professional Data Scientist (CCP:DS)). ITIL Foundation certificate.
* Experience at a DoD Combatant Command (e.g., SOUTHCOM, NORTHCOM, CENTCOM, CYBERCOM, INDOPACOM, EUCOM, AFRICOM, STRATCOM, TRANSCOM, SOCOM, SPACECOM) or a component is desired.
Clearance Requirements: * Must have a current/active Secret security clearance.
* Must be able to obtain and maintain a Top Secret with SCI eligibility.
Physical Requirements: * The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

What ManTech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom