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135 results (10 new)

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Sr Fraud Data Scientist

WEX Inc

Remote • Today

Full-time

USD 140,000.00 - 165,400.00 per year

Fraud Data Scientist

UMB Financial Corporation

Kansas City, Missouri • Today

Full-time

USD 98,208.00 - 144,705.00 per year

Senior Fraud Data Scientist (Credit Card)

Gemini

Remote or New York, New York • Today

Full-time

USD 116,250.00 - 155,000.00 per year

Senior Data Scientist, ML- Fraud Prevention

Adobe Systems

San Jose, California • Today

Full-time

USD 133,100.00 - 236,400.00 per year

Fraud Analytics- Data Scientist - Senior Associate

PricewaterhouseCoopers LLP

New York, New York • Today

Full-time

USD 77,000.00 per year

Senior Data Scientist, Fraud Operations

Navan

Bengaluru, Karnataka • Today

Full-time

Lead Data Scientist - Fraud (Hybrid)

Enova

Chicago, Illinois • Today

Full-time

USD 140,000.00 per year

Program Integrity Data Scientist III - Experience supporting fraud detection, program integrity initiatives preferred

CareSource

Remote or Dayton, Ohio • Today

Full-time

USD 94,100.00 - 164,800.00 per year

Data Architect with Fraud reporting and Analytics

Tanisha Systems, Inc.

Irving, Texas • 10d ago

Easy Apply

Full-time

$120000 - $140000

Senior Machine Learning Engineer (Research Scientist) - Fraud

Plaid

New York, New York • Today

Full-time

USD 228,960.00 - 315,360.00 per year

Fraud Analytics - Data Scientist - Manager

PricewaterhouseCoopers LLP

New York, New York • Today

Full-time

USD 99,000.00 - 232,000.00 per year

Data Scientist - Fraud

Plaid

New York, New York • Today

Full-time

USD 176,400.00 - 226,800.00 per year

Data Scientist (Fraud Analytics & Investigative Support)

Praescient Analytics

Remote or Fairfax, Virginia • Today

Full-time

USD 80,000.00 - 120,000.00 per year

Data Scientist II, Fraud & Risk

Socure

New York, New York • Today

Full-time

USD 140,000.00 - 170,000.00 per year

Staff Data Scientist - Fraud & Risk

Socure

New York, New York • Today

Full-time

USD 191,000.00 - 230,000.00 per year

Fraud AI/ML Data Scientist

Navigant Consulting

Remote • Today

Full-time

USD 80,000.00 - 133,000.00 per year

Fraud Solutions - Data Analytics - Risk Detect - Senior Manager

PricewaterhouseCoopers LLP

San Francisco, California • Today

Full-time

USD 124,000.00 - 280,000.00 per year

Senior Data Modeler, Fraud Risk Detection

Experian

Remote • Today

Full-time

USD 82,644.00 - 143,249.00 per year

Data Analyst-Fraud Payments

INSPYR Solutions

Hybrid in Los Angeles, California • 21d ago

Easy Apply

Contract

$33 - $37

Senior SIU Analyst / Fraud Analyst / Healthcare Domain Only

DVI Technologies, Inc.

Remote • Today

Easy Apply

Contract

45 - 50

Senior Machine Learning Engineer - Infra/Ops - Fraud

Plaid

New York, New York • Today

Full-time

USD 228,960.00 - 315,360.00 per year

Senior Machine Learning Engineer - Fraud

Plaid

New York, New York • Today

Full-time

USD 228,960.00 - 315,360.00 per year

Senior Machine Learning Engineer - Fraud

Plaid

New York, New York • 25d ago

Full-time

IT Business Senior Analyst (Credit Cards & Fraud Domain) : Full Time

Crowdplum Global Services LLC

Irving, Texas • Yesterday

Easy Apply

Full-time

$100,000 - $120,000

Senior Product Owner Fraud Communications & Customer Experience

Advent Global Solutions, Inc.

Hybrid in Westwood, Massachusetts • Today

Easy Apply

Contract

85 - 90

Fraud AI / Data Consultant

Judge Group, Inc.

McLean, Virginia • Today

Contract

USD 60.00 - 65.00 per hour

Senior AI / Machine Learning Engineer - Fraud Prevention

Adobe Systems

San Jose, California • Today

Full-time

USD 151,800.00 - 265,350.00 per year

Staff Product Data Analyst, Fraud & Surveillance

NinjaTrader

Remote or Chicago, Illinois • Today

Full-time

USD 162,000.00 - 212,000.00 per year

Software Engineer for Card Fraud Strategy Data Delivery

Truist

Atlanta, Georgia • Today

Full-time

Engineering Senior Manager, Fraud Technologies

M&T BANK CORPORATION

Buffalo, New York • Today

Full-time

USD 167,600.00 - 279,400.00 per year

Job Details

Skills

Algorithms
Decision-making
Continuous Improvement
Analytical Skill
Collaboration
FOCUS
Surveillance
Loss Prevention
Financial Services
Mathematics
Statistics
Operations Research
Computer Science
Fraud
Risk Management
SQL
Python
R
Data Science
scikit-learn
Pandas
Real-time
Modeling
Testing
Unsupervised Learning
Communication
Presentations
Analytics
Adaptability
Creative Problem Solving
Critical Thinking
Credit Risk
Management
Mentorship
Underwriting
LexisNexis
Cloud Computing
Amazon SageMaker
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Artificial Intelligence

Algorithms
Decision-making
Continuous Improvement
Analytical Skill
Collaboration
FOCUS
Surveillance
Loss Prevention
Financial Services
Mathematics
Statistics
Operations Research
Computer Science
Fraud
Risk Management
SQL
Python
R
Data Science
scikit-learn
Pandas
Real-time
Modeling
Testing
Unsupervised Learning
Communication
Presentations
Analytics
Adaptability
Creative Problem Solving
Critical Thinking
Credit Risk
Management
Mentorship
Underwriting
LexisNexis
Cloud Computing
Amazon SageMaker
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Artificial Intelligence

Summary

The Global Risk Solutions and Strategy group is a fast-growing team optimizing risk solutions and models, and we are a key function to help enable WEX's strategic objectives. The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions to inform decision making. Our team helps the firm identify and measure credit and fraud risk to proactively manage the risk throughout the client's life-cycle. As such, you will not only be working with the latest data and machine learning technologies and algorithms, you will be working in a dynamic environment alongside our stakeholders and domain experts to build models and drive better decision-making.

About the Team/Role

Partner with stakeholders to understand fraud risk management requirements and translate them into data-driven solutions to measure and monitor fraud risk across the firm's products and services.
Proactively identify and communicate challenges, opportunities, and risks associated with end-to-end model development and deployment life-cycle to ensure timely completion of the entire product.
Leverage advanced machine learning, artificial intelligence, and statistical methods and technologies to design flexible, scalable, and automated risk modeling solutions.
Develop and review code and automated processes to extract fraud risk patterns from large scale application and transaction data, behavioral patterns, and other risk indicators.
Keep abreast with emerging trends in machine learning and identify opportunities to leverage new tools to solve problems and improve processes.

Mentor and support junior data scientists, sharing knowledge and best practices to elevate the data science practice at WEX.

How you'll make an impact

Insights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics
Stakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact
Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact
Dynamic Collaboration: Drive continual improvement of our team best practices and processes to power collaboration
Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning
Curiosity and Learning: Learn new technologies and collaborate and teach others how to use them as necessary.

Experience You'll Bring:

4 or more years of professional experience in data science, machine learning, and artificial intelligence, with a focus on fraud risk management in underwriting, behavioral surveillance, and loss prevention in the financial services industry.
Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science.
Strong knowledge of fraud risk-drivers in small and medium sized businesses, public firms, and private firms, including data typically used in fraud risk management from external credit bureaus and internal risk management processes
Advanced knowledge of SQL and experience creating and managing large datasets to organize and extract useful information
Advanced knowledge of Python or R and experience with common data science libraries such as lightgbm, scikit-learn, pandas, etc..
Deep understanding of model deployment requirements for scalable solutions and real-time feature stores
Deep expertise in statistical and machine learning techniques, including modeling, testing and inference, sampling methods, supervised and unsupervised learning.
Strong communication and presentation skills with an ability to relate complex analytics findings to business outcomes
Adaptable and comfortable working collaboratively and independently in a self-starting manner
Evidence of creative problem solving, critical thinking and a continual learning mindset in credit risk management.

How you will stand out:

Prior experience mentoring experience of data scientists
Prior roles responsible for building underwriting and behavioral models.
Knowledge of external intelligence sources, including third-party data providers e.g. LexisNexis, Socure, Dun and Bradstreet
Experience using cloud environments to develop advanced models, such as AWS Sagemaker
Experience with end-to-end machine learning systems and MLOps framework
AI Tool Experience Preferred -- Gemini, ChatGPT, Similar

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.

Pay Range: $140,000.00 - $165,400.00

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10527711
Position Id: b6cd8fd7a1460b13def9d4c8cbf1ee68
Posted 1 hour ago

Fitment

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Remote

•

Today

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description Overview Experian's Fraud Analytics & Commercialization operates acros

Full-time

USD 82,644.00 - 143,249.00 per year

Fraud AI/ML Data Scientist

Remote

•

Today

Job Family: Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Partner with stakeholders to define and deliver AI, machine learning, and advanced analytics use cases, translating business needs into scalable data science solutions.Design and develop machine learning models and analytical approaches to support search, discovery, anomaly detection, fraud detection, and insight generation across structured and unstructured data

Full-time

USD 80,000.00 - 133,000.00 per year

Data Scientist (Fraud Analytics & Investigative Support)

Remote or Fairfax, Virginia

•

Today

Location: Remote (Occasional Travel May Be Required) Clearance: Ability to obtain and maintain a Public Trust Position Overview Praescient Analytics is seeking multiple Data Scientists to support advanced fraud analytics and investigative initiatives for a federal oversight organization. These positions will develop, test, validate, and deploy innovative analytical solutions that help identify fraud, waste, abuse, and mismanagement across large-scale federal benefit programs and other governm

Full-time

USD 80,000.00 - 120,000.00 per year

Senior Data Scientist

Remote or San Francisco, California

•

Today

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial insti

Full-time

USD 152,500.00 - 205,000.00 per year

Job Details

Skills

Algorithms
Decision-making
Continuous Improvement
Analytical Skill
Collaboration
FOCUS
Surveillance
Loss Prevention
Financial Services
Mathematics
Statistics
Operations Research
Computer Science
Fraud
Risk Management
SQL
Python
R
Data Science
scikit-learn
Pandas
Real-time
Modeling
Testing
Unsupervised Learning
Communication
Presentations
Analytics
Adaptability
Creative Problem Solving
Critical Thinking
Credit Risk
Management
Mentorship
Underwriting
LexisNexis
Cloud Computing
Amazon SageMaker
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Artificial Intelligence

Algorithms
Decision-making
Continuous Improvement
Analytical Skill
Collaboration
FOCUS
Surveillance
Loss Prevention
Financial Services
Mathematics
Statistics
Operations Research
Computer Science
Fraud
Risk Management
SQL
Python
R
Data Science
scikit-learn
Pandas
Real-time
Modeling
Testing
Unsupervised Learning
Communication
Presentations
Analytics
Adaptability
Creative Problem Solving
Critical Thinking
Credit Risk
Management
Mentorship
Underwriting
LexisNexis
Cloud Computing
Amazon SageMaker
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Artificial Intelligence

Summary

Partner with stakeholders to understand fraud risk management requirements and translate them into data-driven solutions to measure and monitor fraud risk across the firm's products and services.
Proactively identify and communicate challenges, opportunities, and risks associated with end-to-end model development and deployment life-cycle to ensure timely completion of the entire product.
Leverage advanced machine learning, artificial intelligence, and statistical methods and technologies to design flexible, scalable, and automated risk modeling solutions.
Develop and review code and automated processes to extract fraud risk patterns from large scale application and transaction data, behavioral patterns, and other risk indicators.
Keep abreast with emerging trends in machine learning and identify opportunities to leverage new tools to solve problems and improve processes.

Mentor and support junior data scientists, sharing knowledge and best practices to elevate the data science practice at WEX.

How you'll make an impact

Insights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics
Stakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact
Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact
Dynamic Collaboration: Drive continual improvement of our team best practices and processes to power collaboration
Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning
Curiosity and Learning: Learn new technologies and collaborate and teach others how to use them as necessary.

Experience You'll Bring:

4 or more years of professional experience in data science, machine learning, and artificial intelligence, with a focus on fraud risk management in underwriting, behavioral surveillance, and loss prevention in the financial services industry.
Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science.
Strong knowledge of fraud risk-drivers in small and medium sized businesses, public firms, and private firms, including data typically used in fraud risk management from external credit bureaus and internal risk management processes
Advanced knowledge of SQL and experience creating and managing large datasets to organize and extract useful information
Advanced knowledge of Python or R and experience with common data science libraries such as lightgbm, scikit-learn, pandas, etc..
Deep understanding of model deployment requirements for scalable solutions and real-time feature stores
Deep expertise in statistical and machine learning techniques, including modeling, testing and inference, sampling methods, supervised and unsupervised learning.
Strong communication and presentation skills with an ability to relate complex analytics findings to business outcomes
Adaptable and comfortable working collaboratively and independently in a self-starting manner
Evidence of creative problem solving, critical thinking and a continual learning mindset in credit risk management.

How you will stand out:

Prior experience mentoring experience of data scientists
Prior roles responsible for building underwriting and behavioral models.
Knowledge of external intelligence sources, including third-party data providers e.g. LexisNexis, Socure, Dun and Bradstreet
Experience using cloud environments to develop advanced models, such as AWS Sagemaker
Experience with end-to-end machine learning systems and MLOps framework
AI Tool Experience Preferred -- Gemini, ChatGPT, Similar

Dice Id: 10527711
Position Id: b6cd8fd7a1460b13def9d4c8cbf1ee68
Posted 1 hour ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Remote

•

Today

Full-time

USD 82,644.00 - 143,249.00 per year

Fraud AI/ML Data Scientist

Remote

•

Today

Full-time

USD 80,000.00 - 133,000.00 per year

Data Scientist (Fraud Analytics & Investigative Support)

Remote or Fairfax, Virginia

•

Today

Full-time

USD 80,000.00 - 120,000.00 per year

Senior Data Scientist

Remote or San Francisco, California

•

Today

Full-time

USD 152,500.00 - 205,000.00 per year

Sr Fraud Data Scientist

Skills

Summary

Dice Job Match Score™

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Sr Fraud Data Scientist

Job Details

Skills

Summary

Dice Job Match Score™

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