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Money Mule Jobs (NOW HIRING)

Guidehouse

MuleSoft Architect

San Antonio, TX · On-site

... Mule Runtime, CloudHub, Connectors, API Management). * Proven ability to design, build, and ... Note that Guidehouse will never charge a fee or require a money transfer at any stage of the ...

Michael Foods Inc.

Sanitation Tech

Britt, IA

$15 - $18/hr

Ability to perform these operations using units of American money and weight measurement, volume ... License to drive a forklift and mule OTHER SKILLS AND ABILITIES: • Ability to learn and follow ...

Michael Foods Inc.

Sanitation Tech

Britt, IA · On-site

$15 - $18/hr

Ability to perform these operations using units of American money and weight measurement, volume ... License to drive a forklift and mule OTHER SKILLS AND ABILITIES: • Ability to learn and follow ...

UiPath

Industry Practice Director

New York, NY · On-site

$187K - $237K/yr

... Money Laundering (AML), Financial Crime Compliance (FCC), Know Your Customer (KYC), Customer Due ... mule accounts, beneficial ownership transparency, and cross-border financial crime. Product ...

Michael Foods Inc.

Sanitation Tech Overnights

Gaylord, MN · On-site

$19.38 - $22.95/hr

... a forklift and mule may be required. • Ability to learn and follow the correct cleaning ... American money and weight measurement, volume and distance. • Ability to apply common sense ...

DocuSign

Sr. Software Engineer

San Francisco, CA · Hybrid

$144K - $190K/yr

Until now, these were disconnected from business systems of record, costing businesses time, money ... Anypoint Platform (Mule 4, API Manager, Runtime Manager) * Experience with Object-Oriented ...

Docusign

Sr. Software Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Until now, these were disconnected from business systems of record, costing businesses time, money ... Anypoint Platform (Mule 4, API Manager, Runtime Manager) * Experience with Object-Oriented ...

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How much do money mule jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for money mule in the United States is $56.53, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $64.18 per hour, depending on experience, location, and employer.

What jobs pay 4000 a week without a degree?

Money mule roles are illegal and involve transferring stolen funds, which can lead to criminal charges. Legitimate jobs that pay around $4,000 weekly without a degree typically include high-level sales, real estate, or specialized trades like certain construction or technical roles, often requiring experience or certifications. These positions usually demand strong skills, reliability, and sometimes licensing or training, but do not necessarily require a college degree.

What are money mules?

Money mules are individuals who transfer illegally acquired funds on behalf of others, often unknowingly assisting criminals in moving money derived from fraud, scams, or other illegal activities. Criminals recruit money mules to help launder money and avoid detection by authorities. Being a money mule is illegal and can result in serious legal consequences, including criminal charges. Many people become money mules without realizing the risks, often through job offers or online relationships. It's important to recognize the signs and avoid participating in such activities.

What is a Money Mule job?

A Money Mule job involves transferring illegally obtained money on behalf of criminals, often under the guise of legitimate work. Scammers may recruit individuals through fake job offers, promising easy money for simple transactions. Acting as a money mule is illegal and can result in severe legal consequences, including fines or imprisonment. Always be cautious of job offers that involve handling money for others, especially from unknown sources.

What are the key skills and qualifications needed to thrive as a Money Mule, and why are they important?

I'm sorry, but 'Money Mule' is not a legitimate professional occupation. Facilitating or participating in money mule activities is illegal and not recognized as a lawful job. If you are seeking information about legal careers in finance or banking, please specify a different job title. It is important to pursue careers that adhere to legal and ethical standards.

What is the difference between Money Mule vs Bank Teller?

AspectMoney MuleBank Teller
Required CredentialsNo formal credentials; often recruited onlineHigh school diploma or equivalent; banking certifications optional
Work EnvironmentOften remote or clandestine settingsBank branches, customer service environment
Employer & Industry UsageIllegal activity, financial fraud schemesLegitimate banking institutions
Common Search & Comparison IntentUnderstanding illegal financial rolesLegitimate banking jobs

While a Money Mule is involved in illegal activities like money laundering, a Bank Teller works legally within banking institutions, handling customer transactions. The key differences lie in legality, credentials, and work environment, making them distinct roles despite some overlapping financial terminology.

What jobs pay $700 a day?

Jobs that can pay $700 a day include specialized roles such as freelance consultants, high-level contractors, certain sales positions, and skilled trades like electricians or plumbers working on large projects. These roles often require specific skills, certifications, or experience and may involve self-employment or contract work with flexible schedules.

How do banks detect money mules?

Banks detect money mules by monitoring unusual transaction patterns, such as large or frequent transfers inconsistent with a customer's typical activity, and by analyzing account behavior for signs of money laundering. They also use fraud detection tools and require identity verification to identify suspicious accounts involved in illicit fund movements.

How can I make $2000 a week working from home?

A legitimate money mule role involves transferring funds or goods between accounts or locations, often requiring strong organizational skills and knowledge of financial procedures. However, this activity is illegal and can lead to severe legal consequences; ethical and lawful work-from-home jobs include remote customer service, data entry, or freelance work that can generate high weekly earnings with experience and dedication.
More about Money Mule jobs
What are the most commonly searched types of Money Mule jobs? The most popular types of Money Mule jobs are:
What states have the most Money Mule jobs? States with the most job openings for Money Mule jobs include:
What job categories do people searching Money Mule jobs look for? The top searched job categories for Money Mule jobs are:
Money Mule jobs near you
Infographic showing various Money Mule job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $117,586 per year, or $56.5 per hour.
Asset & Wealth Management - Engineering - Fraud Detection & AI/ML Strategy - Vice President - Richar

Asset & Wealth Management - Engineering - Fraud Detection & AI/ML Strategy - Vice President - Richar

Goldman Sachs, Inc.

Richardson, TX • On-site

$163K - $210K/yr

Full-time

Re-posted 25 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks

Job description


Role Purpose
The VP of Fraud Detection Engineering will lead the strategic development and implementation of advanced AI and Machine Learning models to safeguard the Consumer Deposit business. This leader is responsible for architecting a real-time fraud detection ecosystem that leverages multi-dimensional signals to identify and mitigate fraud vectors across the entire customer lifecycle. From initial acquisition and account opening to complex money movement and ongoing account management, you will be the primary technical authority for defending against synthetic fraud, third-party account takeovers (ATO), and sophisticated financial crimes.
Key Responsibilities
1. AI/ML Model Strategy & Implementation
  • End-to-End Fraud Modeling: Lead the design, training, and deployment of ML models (e.g., Gradient Boosted Trees, Transformers, Graph Neural Networks) to detect anomalies in real-time.
  • Signal Orchestration: Develop frameworks to ingest and synthesize multiple fraud signals, including behavioral biometrics, device fingerprinting, geolocation, and cross-platform transactional data.
  • Real-Time Insights: Architect low-latency inference pipelines that provide immediate "go/no-go" decisions for high-risk events like account applications and large-value transfers.

2. Lifecycle Fraud Prevention
  • Acquisition & Onboarding: Implement robust models to identify synthetic identities and fraudulent applications during the customer acquisition phase.
  • Money Movement Security: Define technical standards for monitoring ACH, wire, and P2P transfers to detect unauthorized activity and "mule" account patterns.
  • Account Takeover (ATO) Defense: Develop sophisticated behavioral baselines to identify 3rd-party account takeovers and session hijacking attempts.

3. Engineering Excellence & Scalability
  • Scalable Infrastructure: Oversee the engineering of high-throughput data pipelines capable of processing millions of daily events with sub-second latency.
  • Feature Engineering: Lead the development of a centralized feature store to ensure consistency between model training and real-time production environments.
  • Model Governance: Establish rigorous back-testing, A/B testing, and monitoring frameworks to track model drift and ensure high precision/recall ratios.

4. Strategic Leadership & Collaboration
  • Thought leadership: Stay ahead of emerging fraud trends (e.g., GenAI-enabled deepfakes, automated bot attacks) by fostering a culture of continuous research and rapid prototyping.
  • Cross-Functional Alignment: Partner with the Chief Risk Officer (CRO), Product Leads, and Legal/Compliance teams to align technical fraud roadmaps with business growth and regulatory requirements.
  • Team Mentorship: Build and lead a world-class team of ML engineers, data scientists, and backend engineers specializing in financial security.

Required Qualifications & Skills
Technical Expertise
  • Engineering Leadership: 8+ years of experience in software engineering or data science, with at least 6 years in a senior leadership role within Fraud or Risk Tech.
  • ML Mastery: Deep expertise in supervised and unsupervised learning, specifically for anomaly detection and classification in imbalanced datasets.
  • Tech Stack: Proficiency in Python, PySpark, and modern ML frameworks. Experience with cloud-native AI services (AWS SageMaker, GCP Vertex AI).
  • Domain Knowledge: Strong understanding of banking protocols (ACH, ISO 20022) and identity verification standards (KYC/AML).

Strategic Leadership
  • Analytical Rigor: Proven track record of reducing fraud loss rates while maintaining a seamless, low-friction customer experience.
  • Stakeholder Management: Ability to translate complex model performance metrics into clear business impact for executive leadership.
  • Risk Mindset: Deep understanding of the trade-offs between false positives (customer friction) and false negatives (fraud loss).

Education
  • Master's in Computer Science, Statistics, Mathematics, or a related quantitative field.

ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html©
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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