ZipRecruiter

Log In

1

Fraud Detection Machine Learning Jobs in Watertown, MA

centralins

Anti-Fraud Manager

Waltham, MA · On-site +1

... and machine learning. * Reviews and evaluates all available information to assess the ... fraud detection, prevention, and suspect claim handling measures. * Represents the Company at ...

Varsity Tutors

Machine Learning Tutor

Lynn, MA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Quincy, MA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Newton, MA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Lowell, MA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Waltham, MA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Cambridge, MA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Boston, MA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Somerville, MA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Needham Bank

Fraud Operations Team Lead

Medford, MA · On-site

$69K - $90K/yr

The Fraud Team Lead is responsible for leading a team of fraud analysts to detect, prevent, and ... Have a strong working knowledge of Excel, Word, and Outlook, and be comfortable learning and using ...

Needham Bank

Fraud Operations Team Lead

Medford, MA · On-site

$69K - $90K/yr

The Fraud Team Lead is responsible for leading a team of fraud analysts to detect, prevent, and ... Have a strong working knowledge of Excel, Word, and Outlook, and be comfortable learning and using ...

XPO

Machine Learning Engineer - Hybrid

Boston, MA · On-site

$100K - $120K/yr

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications ... Experience implementing model monitoring, drift detection, and feedback-loop tooling * Experience ...

next page

Showing results 1-20

All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Watertown, MA

Fraud Detection Machine Learning information

See Watertown, MA salary details

$11

$19

$29

How much do fraud detection machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for fraud detection machine learning in Watertown, MA is $19.63, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $20.91 per hour, depending on experience, location, and employer.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What are some common challenges faced by professionals working in fraud detection machine learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What are the key skills and qualifications needed to thrive as a fraud detection machine learning specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What cities near Watertown, MA are hiring for Fraud Detection Machine Learning jobs?

Cities near Watertown, MA with the most Fraud Detection Machine Learning job openings:

Fraud Detection Machine Learning jobs near you
Infographic showing various Fraud Detection Machine Learning job openings in Watertown, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,837 per year, or $19.6 per hour.

Anti-Fraud Manager

centralins

Waltham, MA • On-site, Remote

Full-time

Medical, Retirement

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Location: Van Wert, OH; Dublin, OH; Waltham, MA; Alpharetta, GA; Irving, TX
Work Model: Hybrid or Remote based on location 
Position type: Full time - salary 

We’re a team of employees passionate about delivering best-in-class customer service and innovation in the industry. Integrity, relationships, and excellence are at the heart of everything we do.

Our employees fully utilize their talents and bring their best selves to work. We believe who you are is just as important as what you do!

Fraud prevention is at the heart of protecting our customers and our business—and that’s where this role makes an impact. As Anti-Fraud Manager, you’ll lead front-line investigative efforts, tackle complex and high-impact cases, and partner with a wide network of internal teams and external agencies. This is an opportunity to shape strategy, develop talent, and bring modern tools and analytics into real-world fraud detection and deterrence.

 Key Responsibilities of the Role  

  • Supervises the day-to-day investigative activity of SIU field/desk investigations and support activities throughout regions. 
  • Acts as the direct liaison with the various Claims Staff, Departments of Insurance and other regulatory agencies, NICB and other industry investigative representatives.
  • Monitors and evaluates the quality of performance and key results through ongoing audits and review of results of both direct adjuster and advanced cutting edge analytic referrals of both artificial intelligence and machine learning.
  • Reviews and evaluates all available information to assess the appropriateness of referrals for prosecution and/or recovery. 
  • Ensures that all SIU investigation files include a concise and complete summary of the investigation, including the investigators findings regarding the suspected insurance fraud and the basis for their findings and ensure that all investigative cases are thoroughly, promptly, and efficiently investigated and referred to the proper authority within the timeframe as mandated. 
  • Works with all members of the Claims Management, Underwriting and Marketing Teams, Claim Support Staff, Independent Vendors, Defense Counsel, and all other entities as may be required, to ensure effective implementation of fraud detection and deterrent protocols.
  • Assists with the training of Central Mutual Insurance anti-fraud personnel and Claims Staff in fraud detection, prevention, and suspect claim handling measures.  
  • Represents the Company at various industry, state and local organizations which focus on anti-fraud activities.
  • Coordinates investigation of complex suspect claims and assignments as warranted ensuring proper resolution and documentation within case management system.  
  • Collaborates with the SIU Director on all matters of the SIU function to include, but not limited to; investigation, investigative strategy, training and other department matters.
  • Oversees reporting of all suspected fraudulent insurance transactions to the appropriate departments of insurance within the required time frames for their team. 
  • Establishes and maintains relationships with law enforcement, Department of Insurance officials and insurance industry personnel and assist them when required.
  • Selects, trains, and develops new employees
  • Sets expectations with regards to performance
  • Communicates with, motivate and recognize employees
  • Evaluates performance and conducts weekly check-ins and performance reviews
  • Manages staff and other resources appropriately 

Required Qualifications  

  • Bachelor’s Degree in Criminal Justice, Criminology, or Fraud Management and 2 years relevant experience 
  • Or 4 years of relevant SIU investigator/SIU Supervisor experience  


Preferred Qualifications  

  • Licensure & Certification: None required; One or more of the following certifications/designations are desirable: Senior Claims Law Associate Designation, Certified Insurance Fraud Investigator Designation, and Certified Fraud Examiners Designation.
  • Familiarity with anti-fraud analytics programs as it relates to fraud prevention and identification 

 
Knowledge, Skills, and Abilities  

  • SIU Supervisor needs to have significant knowledge and experience in all levels of P&C claim fraud investigation and reporting requirements to the various fraud bureaus.  
  • Advanced practical knowledge of conducting medical and property investigations in the field is necessary
  • Good working knowledge of Word, Excel, and PowerPoint applications
  • Demonstrated ability to build and maintain collaborative relationships with internal and external partners and business areas.
  • Proven management skills
  • Ability to demonstrate monthly productive outcomes from investigations assigned to the SIU team
  • Excellent leadership, team building, communication and strategic thinking skills
  • Ability to prepare and present training sessions
  • Successful track record in facilitating and managing projects and teams
  • Attain and be very proficient at the SIU protocols and procedures that would include SIU compliance to the specific states the company operates in
  • Possess in-depth knowledge of insurance policies and procedures related to SIU investigations
  • As a Team Member at Central Mutual Insurance, you will be part of a growing SIU Team that continues to evolve to be a Best in Class SIU group utilizing state of the art analytic programs. Three keys words guide this unit, Unique, Innovative and Creative
  • Ability to understand Central Insurance’s policies and processes 

Total Rewards

Central establishes base pay based on several factors including labor market data and an evaluation of candidate qualifications relative to role requirements. Base pay is one component of a comprehensive total rewards package designed to support employees’ financial, health, career, and retirement objectives. Central provides extensive health and wellness benefits to promote flexibility, work-life balance, and long-term financial security. For more information, see Central Insurance Benefits

Apply