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Fraud Risk Analyst Jobs in Florida (NOW HIRING)

SoFi

Fraud Model Developer

Jacksonville, FL

This individual partners closely with Fraud Prevention, Risk, Operations, Finance, Compliance, and ... This position requires deep expertise in data analytics, statistical modeling, and machine learning ...

MUFG

Fraud Investigation Analyst

Tampa, FL · Hybrid

$61K - $77K/yr

Participate in risk analysis for corporate and commercial customers. Qualifications: * Minimum of three years of investigative or related experience with specific emphasis on fraud investigations at ...

Deloitte

Payments Fraud Manager 1

Boca Raton, FL · On-site

Payments Fraud Manager - Forensic Investigations and Fraud - Financial Services About Deloitte ... risk reduction. * Payments Experience: * Analyze, improve, and monitor payment channels such as ...

MUFG Bank, Ltd.

Fraud Investigation Analyst

Tampa, FL · On-site

$61K - $77K/yr

Participate in risk analysis for corporate and commercial customers. Qualifications: * Minimum of three years of investigative or related experience with specific emphasis on fraud investigations at ...

Deloitte

Payments Fraud Manager 1

Tampa, FL · On-site

Payments Fraud Manager - Forensic Investigations and Fraud - Financial Services About Deloitte ... risk reduction. * Payments Experience: * Analyze, improve, and monitor payment channels such as ...

Nymbus, Inc.

Fraud Analyst

Jacksonville, FL · Remote

The Fraud Analyst is part of the Risk & Compliance team within Nymbus. The Fraud Analyst is responsible for supporting the Senior Director of Fraud in the overall fraud function, with the ongoing ...

Deloitte

Payments Fraud Manager 1

Miami, FL · On-site

Payments Fraud Manager - Forensic Investigations and Fraud - Financial Services About Deloitte ... risk reduction. * Payments Experience: * Analyze, improve, and monitor payment channels such as ...

SoFi

Fraud Model Developer

Jacksonville, FL · On-site

Analyzing complex datasets to identify drivers of fraud loss and member friction across products ... Investigating external risk data and emerging fraud patterns to inform roadmap prioritization

PayCargo LLC

Director of Fraud

Miami, FL

Fraud Prevention and Risk Management: * Analyze fraud trends and data to identify vulnerabilities and implement strategies to prevent future incidents. * Collaborate with payment networks (Visa ...

Varite

Director of Fraud Prevention

Miami, FL

Coordinate with law enforcement agencies, such as the FBI, for major fraud cases involving organized crime or crossing jurisdictions. 2. Fraud Prevention and Risk Management: * Analyze fraud trends ...

PayCargo LLC

Director of Fraud

Miami, FL

Fraud Prevention and Risk Management: * Analyze fraud trends and data to identify vulnerabilities and implement strategies to prevent future incidents. * Collaborate with payment networks (Visa ...

PayCargo LLC

Director of Fraud

Miami, FL · On-site

Fraud Prevention and Risk Management: * Analyze fraud trends and data to identify vulnerabilities and implement strategies to prevent future incidents. * Collaborate with payment networks (Visa ...

Bank OZK

VP, Fraud Prevention Manager

Clearwater, FL · On-site

$122.30K - $156.70K/yr

... Risk Management Program. Conducts quality reviews for fraud staff and collaborates with the Fraud Investigations team to identify Analyst coaching opportunities. * Assesses emerging fraud trends ...

Uphold

Fraud Investigations Manager

Clearwater, FL · On-site

This role is responsible for managing Fraud Investigators and Analysts, driving high-quality, in ... Collaborate cross-functionally with Compliance, Risk, Legal, and Operations teams * Support audits ...

Bank OZK

VP, Fraud Prevention Manager

Clearwater, FL

$122.30K - $156.70K/yr

... Risk Management Program. Conducts quality reviews for fraud staff and collaborates with the Fraud Investigations team to identify Analyst coaching opportunities. * Assesses emerging fraud trends ...

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How much do fraud risk analyst jobs pay per hour?

As of May 30, 2026, the average hourly pay for fraud risk analyst in Florida is $32.36, according to ZipRecruiter salary data. Most workers in this role earn between $23.51 and $39.71 per hour, depending on experience, location, and employer.

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

To thrive as a Fraud Risk Analyst, you typically need strong analytical abilities, attention to detail, and a background in finance, accounting, or a related field. Familiarity with fraud detection software, data analysis tools like SQL or Python, and sometimes certifications such as CFE (Certified Fraud Examiner) are valuable. Excellent problem-solving, critical thinking, and communication skills help analysts effectively investigate suspicious activities and present findings. These skills are crucial for identifying and mitigating fraud risks, protecting organizational assets, and ensuring regulatory compliance.

What are some common challenges faced by Fraud Risk Analysts in a rapidly evolving digital landscape?

Fraud Risk Analysts often face the challenge of keeping up with increasingly sophisticated fraud schemes and rapidly changing technologies. Staying ahead requires continuous learning, adapting to new tools, and proactively identifying emerging risks. Collaboration with IT, data science, and compliance teams is essential to implement effective controls and respond quickly to potential threats. Additionally, balancing thorough investigations with the need for efficient customer experiences can be demanding, making strong analytical and communication skills vital.

What does a Fraud Risk Analyst do?

A Fraud Risk Analyst is responsible for identifying, assessing, and mitigating risks related to fraudulent activities within an organization. They analyze transactions, monitor patterns, and use various tools and techniques to detect potential fraud. Their work helps protect the company from financial losses and ensures compliance with relevant laws and regulations. They may also recommend improvements to internal controls and work closely with other departments to develop anti-fraud strategies.
What are the most commonly searched types of Fraud Risk Analyst jobs in Florida? The most popular types of Fraud Risk Analyst jobs in Florida are:
What are popular job titles related to Fraud Risk Analyst jobs in Florida? For Fraud Risk Analyst jobs in Florida, the most frequently searched job titles are:
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What cities in Florida are hiring for Fraud Risk Analyst jobs? Cities in Florida with the most Fraud Risk Analyst job openings:
Fraud Risk Analyst jobs near you
Infographic showing various Fraud Risk Analyst job openings in Florida as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,315 per year, or $32.4 per hour.
Fraud Model Developer

Fraud Model Developer

SoFi

Jacksonville, FL

Other

Posted 9 days ago

Job description

The role:

We are looking for a Senior Data Scientist and/or Machine Learning Model Developer to join our Fraud Model Development Team. This role owns end-to-end design, development, validation, deployment partnership, and performance management of high-impact fraud models across SoFi products including Personal Loans, Student Loans, Credit Cards, and Crypto.

The Senior Fraud Model Developer is accountable for measurable fraud loss reduction and false positive improvements within assigned domains. This individual partners closely with Fraud Prevention, Risk, Operations, Finance, Compliance, and ML Platform teams to influence fraud strategy, inform risk tolerance decisions, and ensure models deliver sustained business impact.

This position requires deep expertise in data analytics, statistical modeling, and machine learning, along with the ability to translate complex model performance into clear business outcomes. The ideal candidate brings strong fraud domain knowledge, production ML experience, and a demonstrated ability to manage model risk and complexity at scale

What you'll do:

The Senior Fraud Model Developer will help SoFi build and scale high-performing fraud modeling solutions by:

  • Owning end-to-end development of fraud models within assigned product or risk domains, from problem framing through production deployment and ongoing monitoring
  • Driving measurable reductions in fraud loss, false positives, and operational expenses
  • Translating model outputs into business impact metrics and influencing fraud strategy decisions
  • Aggregating and synthesizing datasets from multiple data environments to design scalable and reusable modeling frameworks
  • Analyzing complex datasets to identify drivers of fraud loss and member friction across products
  • Conducting trade-off analysis between fraud loss mitigation, customer experience, and regulatory guardrails
  • Establishing and maintaining model monitoring standards (e.g., performance metrics, drift detection, recalibration cadence) to proactively manage model risk
  • Investigating external risk data and emerging fraud patterns to inform roadmap prioritization
  • Partnering with ML Platform teams to productionize models in AWS and improve lifecycle governance
  • Reducing model development cycle time by simplifying processes, improving documentation rigor, and creating reusable components
  • Handling escalations related to model performance, risk exposure, or business impact within assigned scope
  • Influencing roadmap sequencing and contributing to prioritization discussions based on ROI, regulatory considerations, and level of effort
What you'll need:
  • 7+ years of advanced quantitative modeling experience, or
    • Master's degree and 5+ years of related experience, or
    • PhD and 3+ years of related experience, or
    • Equivalent practical experience
  • Demonstrated ownership of production machine learning models with measurable impact on fraud loss or false positive reduction
  • Deep expertise in Python, SQL, and data visualization tools (e.g., Tableau)
  • Strong knowledge of statistical methodologies and machine learning techniques (e.g., regression, decision trees, gradient boosting, random forests, neural networks, clustering analysis)
  • Experience designing, validating, and monitoring models using metrics such as AUC, KS, precision/recall, and drift detection
  • Ability to independently determine modeling approaches, manage trade-offs, and execute solutions with minimal guidance
  • Experience partnering cross-functionally with Risk, Fraud Ops, Engineering, Finance, and Compliance stakeholders
  • Strong communication skills with the ability to distill complex technical concepts into clear business recommendations
  • Demonstrated ability to manage risk exposure within projects and proactively escalate with proposed solutions
Nice to have:
  • Direct experience in fintech, banking, payments, or digital fraud risk
  • Familiarity with graph databases and network-based fraud detection
  • Experience developing and deploying models in AWS environments
  • Experience influencing fraud policy or risk tolerance decisions

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