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Software Engineer Fraud Detection Jobs in Miami, FL

Applied AI Engineer

Miami, FL · On-site

$90 - $120/hr

Fraud Detection: Implementing deterministic logic checks on bank and financial documents to detect ... Software engineer first with strong experience in Python (C#/.NET is an advantage) and deep ...

Senior Fraud Data Scientist

Miami, FL · On-site

$116.25 - $155/hr

This role requires strong experience with fraud detection systems, risk management methodologies, and regulatory frameworks. You'll partner closely with teams across product, engineering, operations ...

Senior Software Engineer

Miami, FL · On-site +1

$117K - $154K/yr

We are looking for a talented Senior Software Engineer to join our team! PolySwarm is developing ... The PolySwarm marketplace is a launchpad for new technologies and novel threat detection methods ...

Senior Software Engineer

Miami, FL · On-site +1

$117K - $154K/yr

Description We are looking for a talented Senior Software Engineer to join our team! PolySwarm is ... The PolySwarm marketplace is a launchpad for new technologies and novel threat detection methods ...

Senior Software Engineer (Remote)

Miami, FL · Remote

$117K - $154K/yr

... detection, or security workflow automation. * Familiarity with LLMs, AI agents, embeddings, or ... software engineering roadmaps and capabilities across products. Why Cisco? At Cisco, we're ...

Solutions Engineer (Senior)

Miami, FL · Remote

$52.75 - $68.25/hr

Stay current on FinTech, RegTech, and AI trends particularly in KYB/KYC, AML, fraud detection, and ... growth software environment experience is a strong plus. * Hands-on technical skills in SQL ...

Solutions Engineer (Senior)

Miami, FL · Remote

$56.50 - $73/hr

Stay current on FinTech, RegTech, and AI trends particularly in KYB/KYC, AML, fraud detection, and ... growth software environment experience is a strong plus. * Hands-on technical skills in SQL ...

Worth is looking for a Senior Software Engineer to join our Integrations Squad and own the systems ... Build and maintain integrations with third-party data providers (KYB, KYC/IDV, AML, fraud, banking ...

Senior Software Engineer - Integrations

Miami, FL · Remote

$125K - $165K/yr

Worth is looking for a Senior Software Engineer to join our Integrations Squad and own the systems ... Build and maintain integrations with third-party data providers (KYB, KYC/IDV, AML, fraud, banking ...

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Embedded Software Engineer

Miramar, FL · On-site

$110K - $135K/yr

Build the detection, classification, and confidence-scoring logic that determines which code is the correct serial identifier, and define the fallback path when confidence is insufficient.

Experience with claims management software. * Familiarity with fraud detection techniques and health care fraud prevention programs. * Demonstrated ability to lead audit projects or mentor junior ...

Experience with claims management software. * Familiarity with fraud detection techniques and health care fraud prevention programs. * Demonstrated ability to lead audit projects or mentor junior ...

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Showing results 1-20

Software Engineer Fraud Detection information

See Miami, FL salary details

$23K

$100.3K

$180.8K

How much do software engineer fraud detection jobs pay per year?

As of Aug 25, 2026, the average yearly pay for software engineer fraud detection in Miami, FL is $100,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What does a software engineer fraud detection do?

A Software Engineer in Fraud Detection designs and develops systems to identify and prevent fraudulent activities within digital platforms, such as banking or e-commerce environments. They build algorithms to analyze user behavior, detect anomalies, and flag suspicious transactions in real time. Their work often involves machine learning, big data analysis, and close collaboration with data scientists and security teams to continuously improve fraud detection accuracy. These engineers play a key role in protecting businesses and customers from financial loss and cybercrime.

How does a software engineer fraud detection typically collaborate with data scientists and analysts to identify fraudulent activity?

Software Engineers in Fraud Detection work closely with data scientists and analysts to build, refine, and deploy systems that detect and prevent fraud. While data scientists may develop models and identify patterns from large datasets, engineers are responsible for integrating these models into scalable, real-time systems within the company's technology stack. Regular communication and joint problem-solving are essential, as engineers must understand the logic behind models and analysts' findings to ensure accurate implementation and continuous improvement. This collaborative environment helps create robust fraud detection mechanisms that adapt to evolving threats.

What are the key skills and qualifications needed to thrive as a software engineer fraud detection, and why are they important?

To thrive as a Software Engineer in Fraud Detection, strong programming skills (such as Python, Java, or Scala), a solid understanding of algorithms, data structures, and experience with machine learning or statistical analysis are generally required, often supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), real-time analytics systems, and fraud detection tools or frameworks is typically expected. Analytical thinking, problem-solving abilities, and effective communication are key soft skills that differentiate top performers in this field. These skills are crucial for developing robust systems that can quickly identify and prevent fraudulent activities, protecting both users and organizations.

What is the difference between Software Engineer Fraud Detection vs Data Scientist Fraud Detection?

AspectSoftware Engineer Fraud DetectionData Scientist Fraud Detection
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's or higher in CS, Statistics, or Data Science
Work EnvironmentDevelops fraud detection systems, writes code, implements algorithmsAnalyzes data, builds models, interprets results
Employer & Industry UsageFinancial institutions, fintech, e-commerceFinancial services, tech companies, insurance
Common Search & ComparisonFocuses on software development for fraud detectionFocuses on data analysis and modeling for fraud detection

While both roles work in fraud detection, Software Engineer Fraud Detection primarily develops and maintains detection systems through coding, whereas Data Scientist Fraud Detection analyzes data and builds models to identify fraudulent activity. Both roles often collaborate but differ in their core focus and skill sets.

What are popular job titles related to Software Engineer Fraud Detection jobs in Miami, FL?

For Software Engineer Fraud Detection jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Software Engineer Fraud Detection jobs in Miami, FL look for?

The top searched job categories for Software Engineer Fraud Detection jobs in Miami, FL are:

What cities near Miami, FL are hiring for Software Engineer Fraud Detection jobs?

Cities near Miami, FL with the most Software Engineer Fraud Detection job openings:

Senior Fraud Strategy Analyst - Rules Engine & Decisioning

Miami, FL • On-site


ASCENSUS
Finance and Insurance • 5 - 10K employees

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

46th of 151 rated financial services

Good employer

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Recommended by parents


Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago


Job description

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.

Ascensus is seeking a Senior Fraud Strategy Analyst to join our Fraud Risk Management team. This role will be responsible for helping design, execute, and continuously improve fraud detection, prevention, and mitigation strategies across the organization.

The Senior Fraud Strategy Analyst will play a key role in identifying fraud trends and emerging threats, owning fraud rules and strategy execution, analyzing performance, and strengthening fraud risk capabilities over time. This is a highly impactful role for an experienced fraud professional who can balance day-to-day execution with broader strategic thinking.

The ideal candidate will bring strong fraud domain expertise, experience working within a rules-based fraud environment, and the ability to use data and performance results to improve outcomes. This role is well-suited for someone who not only wants to execute fraud strategy but also help build and mature fraud capabilities in a growing environment.

Key Responsibilities

  • Own and support fraud detection and prevention strategies across the fraud lifecycle
  • Manage and optimize the fraud rules platform, including creating new rules, refining existing rules, testing changes, validating outputs, and monitoring performance
  • Analyze fraud detection results to identify false positive and false negative trends and recommend strategy changes that improve fraud capture while minimizing customer friction
  • Identify and respond to new and emerging fraud trends, attack patterns, and typologies across a broad range of fraud risks
  • Conduct root cause analysis of fraud events, losses, rule misses, and control failures, and translate findings into actionable recommendations
  • Use fraud tools, analytics, reporting, and available data sources to identify suspicious activity and support strategy optimization
  • Help build and mature fraud capabilities in a net-new or evolving environment, including supporting process development, rules governance, documentation standards, and performance monitoring practices
  • Partner cross-functionally with teams across risk, operations, compliance, legal, technology, product, and customer-facing functions to strengthen fraud controls and support strategic initiatives
  • Work with internal technology teams and third-party providers to enhance fraud systems, rules management capabilities, analytics, reporting, and detection tools
  • Monitor fraud trends and key performance indicators and communicate findings, risks, and opportunities to leadership and business partners
  • Prepare clear and concise documentation, analyses, summaries, and presentations related to fraud trends, rule changes, strategy performance, and control recommendations
  • Identify opportunities to improve workflows, controls, reporting, and fraud decision strategies, and help drive continuous improvement across the function
  • Support urgent or high-priority fraud issues requiring timely analysis, strategy adjustments, and cross-functional coordination
  • Protect confidential information and ensure proper handling of sensitive data in accordance with company expectations and standards
  • Demonstrate Ascensus' I-Client service philosophy and Core Values of People Matter, Quality First, and Integrity Always
  • Support additional projects and responsibilities as needed

Required Qualifications

  • 3-7 years of progressive experience in fraud strategy, fraud investigations, financial crimes, or financial services risk management
  • Experience in fraud and/or financial crime roles within banking, financial services, fintech, payments, retirement services, wealth services, or other highly regulated environments
  • Experience creating, managing, tuning, or optimizing fraud rules and decision strategies within a fraud platform or rules-based environment
  • Experience analyzing fraud rule performance and using data to assess outcomes, validate results, identify optimization opportunities, and improve strategy effectiveness
  • Strong knowledge of fraud typologies and fraud risk management practices across a range of fraud types, including identity fraud, account takeover, social engineering, payment fraud, mule activity, first-party fraud, and organized fraud schemes
  • Proven ability to identify emerging fraud patterns and translate findings into actionable recommendations, control enhancements, and long-term strategy improvements
  • Experience working across fraud systems, rules management, fraud analytics and optimization, and fraud risk strategy
  • Strong analytical, critical thinking, and problem-solving skills, with the ability to interpret results, identify themes, assess risk, and make sound recommendations
  • Ability to work independently, exercise sound judgment, and manage multiple priorities in a fast-paced and evolving environment
  • Strong written, verbal, and presentation skills, with the ability to communicate effectively across all levels of the organization
  • Proven ability to identify process improvement opportunities and convert insights into practical solutions
  • Familiarity with fraud reporting, dashboarding, trend monitoring, or KPI/KRI development

Why This Role

This is an opportunity to play a key role in shaping and strengthening fraud strategy in a growing environment. The Senior Fraud Strategy Analyst will have the chance to make an impact through both hands-on strategy execution and longer-term program development - helping improve fraud controls, optimize detection strategies, and build stronger fraud capabilities over time.

The national average salary range for this role is $100k-150k in base pay, exclusive of any bonuses and benefits.This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visitcareers.ascensus.com/#Benefits.

Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.



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