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Model Risk Manager Jobs in Jacksonville, FL (NOW HIRING)

Fortegra

Catastrophe Analyst

Jacksonville, FL · On-site

... and senior management. * Perform loss and accumulation analyses using vendor catastrophe modeling software, extract and transform outputs to calculate risk exposure and losses for reporting.

Deloitte

Manager - ServiceNow

Jacksonville, FL · On-site +1

... Risk Management workstreams in partnership with architects and product owners * Managing ... Orchestrating cross-functional teams and vendors across onshore and offshore models; aligning ...

Td

Collections Strategy Manager

Jacksonville, FL · On-site

$120K - $145K/yr

Experience in data modeling and risk management either from a business administration, statistical, mathematical, scientific or financial background * Excellent written and verbal communication ...

Paysafe

VP Merchant Risk Operations

Jacksonville, FL · On-site

... model. The Opportunity Paysafe operates in a dynamic payments environment where Merchant Risk ... Develop operational KPIs and management reporting to improve efficiency, consistency and customer ...

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All JobsModel Risk JobsModel Risk Manager JobsModel Risk Manager Jobs in Jacksonville, FL

Model Risk Manager information

See Jacksonville, FL salary details

$48.1K

$104.2K

$158.7K

How much do model risk manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for model risk manager in Jacksonville, FL is $104,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.
What are popular job titles related to Model Risk Manager jobs in Jacksonville, FL? For Model Risk Manager jobs in Jacksonville, FL, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Jacksonville, FL look for? The top searched job categories for Model Risk Manager jobs in Jacksonville, FL are:
What cities near Jacksonville, FL are hiring for Model Risk Manager jobs? Cities near Jacksonville, FL with the most Model Risk Manager job openings:
Model Risk Manager jobs near you
Catastrophe Analyst

Catastrophe Analyst

Fortegra

Jacksonville, FL • On-site

Full-time

Re-posted 12 days ago

Job description

This position is for a professional contributor in catastrophe risk management, who works under moderate supervision. The individual will assist other team members in gathering and preparing data for catastrophe analyses, by reviewing exposure data for accuracy, validity, and identifying abnormalities. The candidate will perform catastrophe risk analytics necessary for reinsurance evaluation under the guidance of senior team members. The position requires a self-starter who manages moderately complex analyses in partnership with internal and external teams to confidently communicate needs, findings, and recommendations. The candidate should have a willingness to continually develop skills in risk management and the (re)insurance industry.
Responsibilities:
Key responsibilities will include, but not limited to:
  • Work directly with underwriters to gather and prepare quarterly portfolio rolls up for catastrophe modeling. Assess the data quality to ensure the data used in the analysis is fit for purpose.
  • Analyze changes in exposure and the associated impact of catastrophe model results. Discuss reasonableness of loss distribution results with underwriting team and senior management.
  • Perform loss and accumulation analyses using vendor catastrophe modeling software, extract and transform outputs to calculate risk exposure and losses for reporting.
  • Analyze how the distribution of results and relevant risk measures changes the application of various proposed reinsurance alternatives. Use vendor catastrophe modeling software to provide price indications for reinsurance alternative structures.
  • Collaborate with junior team members in basic aspects of property (re)insurance and especially catastrophe modeling, including how to prepare data and interpreting insurance terms to catastrophe model.
  • Incorporate data into spatial visualization tools to assist in monitoring aggregations and profitability analytics suited to company underwriting objectives and corporate portfolio objectives.
  • Assist senior team members in preparing and formatting summaries, presentations, and reports into clear, concise deliverables of potential risk and loss results.
  • Willingness to consciously strengthen relationships with internal and external partners. Take part in integration and coordination of how internal tools are developed and delivered.
  • Perform ad hoc analytics for new business, catastrophe event response, rating agency and regulatory disclosures, data augmentation, and data quality scoring.

The above cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform.
Qualifications:
  • Minimum of 3 years of experience working with commercial catastrophe model Verisk. Familiarity with Moody's RMS, or KatRisk, a plus.
  • Bachelor's degree in mathematics, economics, engineering, and/or related natural science.
  • Experience with Microsoft SQL, additional programming knowledge beneficial (e.g., Python or R) or experience working with Alteryx.
  • Some knowledge of data warehousing (e.g., Snowflake).
  • Geospatial analytical experience (i.e., GIS software) is beneficial
  • Proficient in using Microsoft technology (e.g., Office 365 apps).
  • Fundamental knowledge in (re)insurance industry.

Job Posting Disclaimer
Fortegra will never request financial or sensitive information such as your bank account information, social security number, or other non-publicly available information for any purpose during the application and interview process. All official communications from our Talent Acquisition team will come from our email domain address "@fortegra.com". If you receive a suspicious message, unsolicited job offer or would like to verify the legitimacy of any communication about a position, please contact our Human Resources department at HumanResources@fortegra.com.
Please be aware of job fraud(s) - all correspondence emails regarding your candidacy will come from our Fortegra.com email address. Thank you.
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Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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