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Credit Risk Analytics Manager Jobs in Tampa, FL (NOW HIRING)

Amerantbank

Credit Risk Metrics Specialist

Tampa, FL · On-site

Prepares Credit Risk SEC, US-GAPP, OCC and other credit risk financial reporting, development of ... dashboards, trend analyses, and management reports. * Strong attention to detail with a ...

New

TriOptus LLC

Business Analyst - Credit Risk

Tampa, FL · On-site

Title: Busienss Analyst - Credit Risk location: NYC/Tampa FL/Jacksonville FL/ Buffalo FL (Onsite ... Regular communication with Program Managers to ensure the program reporting requirements are ...

Synnex

Credit Review AR Analyst

Clearwater, FL · Hybrid

$50K/yr

... focused on credit risk analysis for a large, fast-paced technology distribution organization. This role blends financial analysis with relationship management: you'll evaluate customer ...

TD SYNNEX

Credit Review AR Analyst

Clearwater, FL · On-site

$50K/yr

... focused on credit risk analysis for a large, fast-paced technology distribution organization. This role blends financial analysis with relationship management: you'll evaluate customer ...

DFCU Financial

Credit Analyst

Tampa, FL · On-site

... best managed credit unions in the country. Do you have experience analyzing financial information, assessing credit risk, and making sound lending recommendations? As a Credit Analyst, you will ...

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Credit Risk Analytics Manager information

See Tampa, FL salary details

$32.4K

$122.3K

$162.7K

How much do credit risk analytics manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for credit risk analytics manager in Tampa, FL is $122,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $148,300.00 per year, depending on experience, location, and employer.

How does a credit risk analytics manager typically collaborate with other departments to manage risk effectively?

A Credit Risk Analytics Manager works closely with various teams such as underwriting, finance, IT, and compliance to gather data, implement risk models, and ensure regulatory requirements are met. This collaboration often includes presenting analytical findings to senior management, advising on credit policy adjustments, and supporting product development with risk assessments. Effective communication and teamwork are essential, as the manager translates complex data insights into actionable strategies that align with business goals. Cross-functional collaboration also helps identify potential risks early and ensures the company’s credit strategies are robust and up-to-date.

What are the key skills and qualifications needed to thrive as a credit risk analytics manager?

To thrive as a Credit Risk Analytics Manager, you need a strong background in quantitative analysis, risk assessment, and finance, typically supported by a degree in mathematics, statistics, finance, or a related field. Proficiency in statistical software (such as SAS, R, or Python), data visualization tools, and familiarity with regulatory frameworks like Basel III are essential. Strong problem-solving, communication, and leadership skills help you effectively interpret complex data and guide cross-functional teams. These capabilities are crucial to accurately assess credit risk, inform business decisions, and ensure compliance with industry regulations.

What does a credit risk analytics manager do?

A Credit Risk Analytics Manager is responsible for analyzing and managing the credit risk exposure of a financial institution or organization. They develop and implement risk assessment models, analyze large sets of financial data, and create strategies to minimize potential losses from credit defaults. Their work involves collaborating with other departments, such as lending, underwriting, and compliance, to ensure that the company's credit policies are effective and aligned with regulatory requirements. Additionally, they report on risk trends and provide insights to support business decision-making.
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Credit Risk Analytics Manager jobs near you

Counterparty Credit Risk Analyst

Raymond James Financial, Inc.

Saint Petersburg, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Job Description Summary
We are seeking a highly analytical and technically proficient Counterparty Credit Risk Analyst who enjoys combining financial analysis with data analytics, automation, and technology to improve how counterparty risk is measured, monitored, and managed.
This role is ideal for someone who is equally comfortable analyzing financial statements and building automated Excel models, querying large datasets, and developing dashboards that provide actionable risk insights.
Successful candidates will enjoy building analytical tools, automating manual processes, and leveraging data to improve the firm's counterparty credit risk framework.
Successful candidates will be intellectually curious, highly proficient with data, and motivated to improve existing processes through automation and modern analytical tools.
Job Description
Essential Duties and Responsibilities
  • Develop and maintain a strong understanding of the firm's counterparties, products, transactions, and counterparty credit risk management framework.
  • Perform financial and qualitative analysis of counterparties, including broker-dealers, banks, asset managers, insurance companies, hedge funds, and other financial institutions.
  • Monitor counterparty creditworthiness through analysis of financial performance, ratings actions, market indicators, industry developments, and news events.
  • Monitor and analyze counterparty exposures, limits, concentrations, and utilization trends across counterparties and industry sectors.
  • Extract, transform, and analyze large datasets by querying Oracle and other enterprise databases using SQL, Excel, and other analytical tools to support counterparty monitoring, exposure analysis, portfolio surveillance, and management reporting.
  • Identify emerging risks and potential deterioration in counterparty credit profiles through ongoing surveillance and early warning monitoring.
  • Design, develop, and maintain automated analytical processes, Excel models, SQL queries, dashboards, and AI-enabled workflows that improve the efficiency, consistency, and scalability of counterparty credit risk analysis.
  • Identify and implement opportunities to streamline manual processes through automation, scripting, workflow redesign, and continuous process improvement.
  • Conduct research on financial institutions, capital markets developments, regulatory changes, and macroeconomic trends relevant to counterparty risk.
  • Prepare concise, insightful reporting and presentations for senior management, risk committees, and Board-level audiences.
  • Develop, maintain, and enhance dashboards, automated reporting processes, and data visualizations supporting counterparty credit risk oversight.
  • Support counterparty onboarding, annual reviews, risk assessments, and credit approval processes.
  • Partner with stakeholders across Risk, Treasury, Operations, Capital Markets, Legal, and Data & Technology teams to strengthen risk management capabilities.
  • Support risk framework enhancements, limit management initiatives, stress testing exercises, and strategic projects as assigned.

Knowledge, Skills, and Abilities
Knowledge of:
  • Fundamental concepts, practices, and procedures of counterparty credit risk management.
  • Financial statement analysis and credit assessment methodologies.
  • Financial institutions, capital markets, investment products, and market participants.
  • Exposure measurement concepts, including current exposure, potential future exposure, concentration risk, wrong way risk and limit management.

Skill in:
  • Strong analytical, critical-thinking, and problem-solving abilities.
  • Financial statement analysis and credit assessment.
  • Excellent written and verbal communication skills, including the ability to communicate complex topics clearly and concisely.
  • Advanced proficiency in Microsoft Excel, including complex formulas, PivotTables, Power Query, Power Pivot, dynamic arrays, VBA, spreadsheet automation, financial modeling, and integrating Excel with Oracle and other SQL databases for automated data retrieval and analysis.
  • Experience writing SQL queries to retrieve, transform, and analyze data from Oracle or other relational databases.
  • Data visualization, dashboard development, reporting automation, and analytical reporting techniques.
  • Experience using AI-enabled tools (e.g., Microsoft Copilot or ChatGPT) to improve analytical workflows, documentation, reporting, and productivity is preferred.

Ability to:
  • Analyze and interpret financials, markets, and exposure data.
  • Clean, transform, reconcile, validate, and interpret large financial datasets from multiple internal and external sources.
  • Identify emerging risks and effectively communicate risk implications to stakeholders.
  • Identify patterns, anomalies, and emerging trends through quantitative analysis and translate findings into actionable risk insights.
  • Monitor multiple counterparties and prioritize competing responsibilities.
  • Demonstrate intellectual curiosity, initiative, and a continuous learning mindset, with a passion for leveraging technology and data to improve risk analysis and decision-making.
  • Work collaboratively across business functions and build strong relationships with stakeholders.
  • Embrace innovation and emerging technologies to strengthen risk management practices.

Educational and Experience Requirements
  • Bachelor's degree in Finance, Economics, Accounting, Statistics, Data Analytics, Business, Mathematics, or a related discipline.
  • 2-3 years of experience in financial services, preferably in counterparty credit risk, credit risk, financial institutions analysis, capital markets, risk analytics, or portfolio management.
  • Experience analyzing financial institutions and market participants is preferred.
  • Experience developing analytical and reporting solutions using advanced Excel, SQL, Oracle databases, and similar analytical tools. Experience with automation and workflow improvement is strongly preferred.
  • An equivalent combination of education, training, and relevant experience may be considered.

Education
Bachelor's: Accounting, Bachelor's: Actuarial Science, Bachelor's: Applied Mathematics
Work Experience
General Experience - 7 to 12 months
Certifications
Other Certification Not Listed - Other
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
• Grow professionally and inspire others to do the same
• Work with and through others to achieve desired outcomes
• Make prompt, pragmatic choices and act with the client in mind
• Take ownership and hold themselves and others accountable for delivering results that matter
• Contribute to the continuous evolution of the firm
At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
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