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Fraud Detection Team Lead Jobs (NOW HIRING)

OakTree Staffing

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Risk Management Associate

Tulsa, OK · On-site

Tulsa, OK or Remote Description The Fraud Prevention and Detection Team Lead will be responsible for supporting the fraud detection and prevention efforts of the organization. The position requires a ...

Servbank

Banking Fraud Operations Team Lead

Oswego, IL · On-site

$62K - $73K/yr

This role focuses on managing fraud detection, investigation, and prevention processes to safeguard the bank's assets and maintain customer trust. The Team Lead will ensure compliance with regulatory ...

Servbank

Banking Fraud Operations Team Lead

$62K - $73K/yr

This role focuses on managing fraud detection, investigation, and prevention processes to safeguard the bank's assets and maintain customer trust. The Team Lead will ensure compliance with regulatory ...

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 mitigate fraud across banking products, including cards, deposits, wires, and digital channels. This ...

Soteria Reinsurance Ltd.

$100 - $125/hr

The Team The Fraud Detection Analytics Team is responsible for ensuring that fraudulent events- such as account logins, account openings, and payment attempts- occurring on Fidelity's platform are ...

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 mitigate fraud across banking products, including cards, deposits, wires, and digital channels. This ...

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How much do fraud detection team lead jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for fraud detection team lead in the United States is $22.96, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $25.48 per hour, depending on experience, location, and employer.

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Infographic showing various Fraud Detection Team Lead job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $47,765 per year, or $23 per hour.

Data Scientist - Fraud Detection

Mountain View, CA

DataVisor
Software Development • 1 - 10 employees
Learn more about DataVisorexternal

Full-time

Medical, PTO

Posted 13 days ago

Job description

About DataVisor:
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview:

We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team. In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets. You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud.

Key Responsibilities:

  • Develop and deploy machine learning models for fraud detection and risk assessment.
  • Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data.
  • Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.).
  • Collaborate with engineering and business teams to integrate ML models into production systems.
  • Continuously monitor model performance and refine algorithms to improve accuracy.
  • Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies.

Requirements

  • Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. Ph.D. degree is a plus. 
  • Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus).
  • Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.).
  • Experience with SQL and data manipulation/analysis in large datasets.
  • Strong problem-solving skills and patience for deep-dive data exploration.
  • Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus.
  • Excellent communication skills and ability to work in a collaborative environment.
Nice to have
  • Familiarity with big data tools (Spark, Hadoop, Dask).
  • Knowledge of graph-based fraud detection techniques.
  • Experience with cloud platforms (AWS, GCP, Azure).

Benefits

PTO, Stock Option, Health Benefits

Apply