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Entry Level Credit Risk Analyst Jobs in Miramar, FL

Prepares Credit Risk SEC, US-GAPP, OCC and other credit risk financial reporting, development of ... Strong quantitative, analytical, and problem-solving skills, with the ability to interpret data ...

Apply risk-based criteria to qualify accounts, determine appropriate review scope, and assess eligibility for fast-track processes * Perform credit underwriting and analysis, including cash flow ...

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Entry Level Credit Risk Analyst information

See Miramar, FL salary details

$34.3K

$105.5K

$183K

How much do entry level credit risk analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for entry level credit risk analyst in Miramar, FL is $105,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $130,200.00 per year, depending on experience, location, and employer.

What does an entry level credit risk analyst do?

An Entry Level Credit Risk Analyst evaluates financial data to assess the creditworthiness of individuals or businesses. They analyze credit reports, financial statements, and payment histories to identify potential risks. Their role supports risk management strategies by helping companies make informed lending or investment decisions. Additionally, they may assist in maintaining risk models and ensuring compliance with internal policies and industry regulations. Strong analytical skills, attention to detail, and proficiency in financial tools are essential for success in this role.

What are the key skills and qualifications needed to thrive in the entry level credit risk analyst position, and why are they important?

To thrive as an Entry Level Credit Risk Analyst, you need strong analytical and quantitative abilities, a bachelor's degree in finance, economics, or a related field, and a keen attention to detail. Familiarity with Excel, financial modeling tools, and risk assessment software, as well as knowledge of databases and possibly SAS or Python, is often required. Excellent communication, time management, and problem-solving skills help you interpret data and present findings effectively. These skills ensure accurate risk evaluations, sound decision-making, and effective collaboration within credit risk teams.

What are the most commonly searched types of Credit Risk Analyst jobs in Miramar, FL?

The most popular types of Credit Risk Analyst jobs in Miramar, FL are:

What job categories do people searching Entry Level Credit Risk Analyst jobs in Miramar, FL look for?

The top searched job categories for Entry Level Credit Risk Analyst jobs in Miramar, FL are:

What cities near Miramar, FL are hiring for Entry Level Credit Risk Analyst jobs?

Cities near Miramar, FL with the most Entry Level Credit Risk Analyst job openings:

Infographic showing various Entry Level Credit Risk Analyst job openings in Miramar, FL as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $105,541 per year, or $50.7 per hour.

Credit Risk Analytics Analyst

BankUnited

Miami Lakes, FL • On-site

Full-time

Posted 2 days ago

New


BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

71st of 172 rated banks


Job description

Hybrid opportunity in Miami Lakes, FL.
SUMMARY: Reporting to the Manager, Enterprise Risk Analytics, the Credit Risk Analytics Analyst is part of the Enterprise Risk Analytics team, a dynamic team of talented professionals whose task is to produce valuable recurring risk reporting and analytics as well as advance the modeling framework to identify and manage financial risk. The Credit Risk Analytics Analyst uses a combination of quantitative, modeling, communication, and technical reporting skills to further advance the various risk analytics initiatives and add value to the organization by enhancing our credit risk modeling, monitoring, and reporting capabilities.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.
  • Ownership of third-party vendor credit loss models for CRE and C&I. This includes periodic analytical review of model performance and updates, as well as, maintaining internal model documentation consistent with internal and regulatory expectations.
  • Become a leading expert in the Moody's CMM, RiskCalc, MPA, and ZMDesk, and models. This includes periodic review of model performance and updates, as well as, developing a deep knowledge on how the models work.
  • Advance and refine our use of Moody's CMM, RiskCalc, MPA, and ZMDesk models. This includes using Moody's models and leveraging external and internal data to drive improvements in credit risk accuracy and utilizing the outputs to further stress testing, credit risk attribution, credit VaR, sensitivity analysis, and risk decomposition initiatives.
  • Be a leading contributor to the quarterly and annual end-to-end stress testing exercises. Conduct ad-hoc analysis as required. Develop potential stress scenarios that are meaningful to management.
  • Contribute to the integration of risk results into capital planning, budgeting, and risk appetite frameworks.
  • Periodic reporting on financial risks. This includes report generation in a wide variety of formats including but not limited to Tableau dashboards, Microsoft Excel report, PowerPoint presentations and Microsoft Word reports, on a periodic as well as ad-hoc basis.
  • Drive the automation of modeling routines as well as report and dashboard generation in a manner that drives consistency, accuracy and repeatability in credit risk reporting.
  • Contribute to the design and implementation of risk reporting across a variety of media.
  • Work closely with the data and technology teams to improve the data infrastructure needed to support the above initiatives.
  • Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
  • Adheres to Bank policies and procedures and completes required training.
  • Identifies and reports suspicious activity.

EDUCATION
Degree in a quantitative discipline (eg Statistics, Finance, Mathematics, Engineering, Economics) required Advanced degree in a quantitative discipline (PhD or MSc in a STEM discipline or Economics/Finance) preferred.
EXPERIENCE
  • 2+ years' experience in financial services (banking, asset management, insurance, etc) with significant direct exposure to analytics and modeling applied to credit risk and/or market risk.
  • Experience with programming languages, particularly Python.
  • Experience utilizing and merging data from a variety of databases.
  • Experience with a wide assortment of financial modeling techniques, including but not limited to: credit losses, loss migration, interest rates, volatility, derivatives, VaR, prepayments, capital, forecast techniques, stress testing, scenario analysis, sensitivity analysis, RAROC, liquidity, FTP.
  • Prior experience in credit risk reporting.
  • Prior experience working with databases.
  • Prior experience automating tasks.

CERTIFICATES, LICENSES, REGISTRATIONS
  • CFA, PRM, FRM a plus.

KNOWLEDGE, SKILLS AND ABILITIES
  • Deep understanding of credit risk models (PD, LGD, Credit VaR, etc). This Manager should be able to use this understanding to provide expert insight into the credit risk results they report and enhance the modeling capabilities of the team.
  • Excellent communication skills (visual, verbal, and written) with the ability to articulate complex concepts into a format digestible by a diverse audience.
  • Proficiency in generating reports using Tableau.
  • Proficiency with general quantitative modeling techniques (regression, simulation, optimization).
  • Strong interpersonal skills to aid in working with different divisions within the company.
  • Ability to work under pressure, meet deadlines, manage competing initiatives and adapt to an ever changing work pace with a focus on accuracy and attention to detail.
  • Knowledge of latest modeling developments / trends.

ADDITIONAL INFORMATION
  • Candidates residing in locations within BankUnited's footprint may be given preference.

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