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

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Credit Risk Data Science information

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$35.4K

$108.9K

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

As of Jul 5, 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.

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 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 are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

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.
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:

Manager of Credit Risk Analysis

Associated Energy Group, LLC

Miami, FL โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

Company Description:

Associated Energy Group, LLC (AEG Fuels) is a global aviation fuels and services supply chain management company. The companyโ€™s core business is the marketing and financing of fuel supply and logistics solutions for the worldโ€™s largest airlines, militaries, and corporate operators.

AEG Fuels serves its clients through a network of longstanding relationships with subcontracted parties around the world. Customers are afforded the benefits of negotiated fuel and throughput pricing based on AEG Fuelโ€™s aggregate volume within a network of over 3,000 airports as well as the companyโ€™s specialized expertise in delivering products safely and on-time.

AEG Fuels is dedicated to providing comprehensive support and unparalleled 24/7 service around the world. 30 different nationalities are represented on AEGโ€™s team and with offices in Miami, Houston, Toluca, Medellin, Sao Paolo, London, Dubai, Singapore and Shanghai the company combines a global presence with a local touch.


AEG Core Values:

  • Excellence & Teamwork
  • Entrepreneurship & Innovation
  • Respect & Trust
  • Always Do Whatโ€™s Right


Position Overview:

AEG is seeking a detail oriented and analytical Manager, Credit Risk Analysis to support the evaluation and management of customer credit risk across the company's global portfolio. This role is responsible for conducting credit analyses, monitoring customer exposures, reviewing financial information, supporting compliance initiatives, and identifying potential credit risks. The position will also oversee a Credit Risk Analyst and help ensure the accuracy and timeliness of credit reviews, reporting, and portfolio monitoring activities.

The role will leverage advanced analytics, reporting tools, automation, and emerging AI-enabled technologies to enhance credit risk assessment, portfolio monitoring, operational efficiency, and decision making.

The ideal candidate will possess strong financial analysis skills, experience evaluating customer creditworthiness, and the ability to work collaboratively with cross functional teams to support sound credit decisions and risk management practices.


Key Responsibilities:

  • Monitor aviation, energy, geopolitical, and economic developments that may impact customer financial performance, industry conditions, and overall credit risk exposure.
  • Collaborate with executive leadership, regional leaders, Sales, Finance, Operations, and other key stakeholders to support credit decisions, evaluate customer risk, and resolve credit-related issues.
  • Develop and maintain dashboards, automated reports, and management reporting tools to enhance portfolio visibility, risk monitoring, and decision making.
  • Identify, recommend, and implement process improvements, automation opportunities, and workflow enhancements within the Credit Risk function.
  • Analyze large volumes of financial, operational, and portfolio data to identify trends, emerging risks, and actionable business insights.
  • Utilize AI-enabled tools and technologies to improve analytical capabilities, reporting efficiency, portfolio monitoring, and risk assessment processes.
  • Analyze and monitor customer credit risk across North America, Latin America, EMEA, and APAC portfolios.
  • Review customer exposures and identify high risk accounts requiring additional review or action.
  • Monitor and analyze past due accounts, identify trends, and work with internal stakeholders to mitigate risk.
  • Conduct quarterly credit reviews for publicly traded customers, including analysis of financial performance and market conditions.
  • Perform due diligence reviews and credit evaluations for prospective customers.
  • Review and analyze financial statements for privately held customers to assess creditworthiness and recommend credit limits.
  • Perform financial analysis and utilize established credit models to determine appropriate credit facilities and exposure levels.
  • Conduct sanctions screenings and support compliance related reviews in accordance with company policies and regulatory requirements.
  • Maintain accurate customer credit files, documentation, and supporting analyses.
  • Support business transformation initiatives and assist with maintaining accurate credit management data within SAP and related systems.
  • Generate and maintain reports related to portfolio exposure, credit limits, customer performance, and risk trends.
  • Utilize advanced Microsoft Excel functions including Pivot Tables, XLOOKUPs, formulas, and data visualization tools to analyze and present information.
  • Manage and develop a Credit Risk Analyst, including training, work assignments, and performance feedback.
  • Identify opportunities to improve processes, reporting, and overall efficiency within the Credit Risk function.


Required Skills & Experience:

  • Bachelorโ€™s degree in Finance, Accounting, Business Administration, Economics, or a related field preferred.
  • 5+ years of experience in credit analysis, financial analysis, risk management, commercial credit, or a related field.
  • Experience developing dashboards, automated reporting solutions, and management reporting tools.
  • Demonstrated ability to analyze large data sets and translate complex financial and operational information into meaningful business insights and recommendations.
  • Experience utilizing AI-enabled tools such as Microsoft Copilot, ChatGPT, Claude, or similar technologies to improve analysis, reporting, process efficiency, and decision making.
  • Experience identifying and implementing process improvements, automation initiatives, and operational efficiencies preferred.
  • Previous experience analyzing financial statements and evaluating customer credit risk.
  • Experience reviewing both publicly traded and privately held company financial information preferred.
  • Advanced Microsoft Excel skills, including Pivot Tables, XLOOKUPs, Power Query, financial modeling, dashboard creation, data visualization, and reporting automation.
  • Strong analytical, problem solving, and organizational skills.
  • Knowledge of sanctions screening, compliance reviews, and credit risk management principles.
  • Experience with SAP or other ERP systems preferred.
  • Prior experience leading or mentoring team members preferred.
  • Strong verbal and written communication skills with the ability to interact effectively across all levels of the organization.
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment.


What we Offer:

  • Competitive salary package.
  • 4 weeks of PTO to start.
  • 6 paid holidays.
  • Health Benefits.
  • Dental & Vision Insurance.
  • 6% match on 401K.
  • A collaborative and innovative work culture.