... fraud screening platform, integrating machine learning and Generative AI capabilities. You will ... Contribute to the target-state architecture for fraud detection platforms. * Evaluate new AI ...
... fraud screening platform, integrating machine learning and Generative AI capabilities. You will ... Contribute to the target-state architecture for fraud detection platforms. * Evaluate new AI ...
Team Profile The Fraud Technology group within NFRT delivers solutions to detect, prevent, and ... fraud screening platform, integrating machine learning and Generative AI capabilities. You will ...
Team Profile The Fraud Technology group within NFRT delivers solutions to detect, prevent, and ... fraud screening platform, integrating machine learning and Generative AI capabilities. You will ...
... fraud screening platform, integrating machine learning and Generative AI capabilities. You will ... Contribute to the target-state architecture for fraud detection platforms. * Evaluate new AI ...
... fraud screening platform, integrating machine learning and Generative AI capabilities. You will ... Contribute to the target-state architecture for fraud detection platforms. * Evaluate new AI ...
Engineering Manager, Fraud & Compliance
New York, NY · On-site
$250K - $400K/yr
Fraud detection and platform integrity - identity verification, abuse prevention, risk scoring, and ... machine learning, AI systems, decision engines, or risk-scoring platforms Benefits * Generous ...
Engineering Manager, Fraud & Compliance
New York, NY · On-site
$250K - $400K/yr
Fraud detection and platform integrity - identity verification, abuse prevention, risk scoring, and ... machine learning, AI systems, decision engines, or risk-scoring platforms Benefits * Generous ...
What you'll do We're looking for machine learning engineers who want to build intelligent systems ... Experience in adversarial or noisy-data domains such as fraud detection, risk modeling, or data ...
What you'll do We're looking for machine learning engineers who want to build intelligent systems ... Experience in adversarial or noisy-data domains such as fraud detection, risk modeling, or data ...
What you'll do We're looking for machine learning engineers who want to build intelligent systems ... Experience in adversarial or noisy-data domains such as fraud detection, risk modeling, or data ...
What you'll do We're looking for machine learning engineers who want to build intelligent systems ... Experience in adversarial or noisy-data domains such as fraud detection, risk modeling, or data ...
Account Executive
$150K - $160K/yr
Its proven technology supports fraud detection, customer 360, MDM, IoT, machine learning, and of course AI. TigerGraph clients leverage its technology to efficiently and accurately harness the true ...
Quick apply
Account Executive
$150K - $160K/yr
Its proven technology supports fraud detection, customer 360, MDM, IoT, machine learning, and of course AI. TigerGraph clients leverage its technology to efficiently and accurately harness the true ...
Senior Data Scientist / Analyst, Fraud & Risk
New York, NY · On-site
$94K - $118K/yr
About the Role Polymarket is looking for a Sr Data Scientist / Analyst, Fraud & Risk to proactively ... machine learning background - anomaly detection, graph analysis, or clustering in Python or R ...
Senior Data Scientist / Analyst, Fraud & Risk
New York, NY · On-site
$94K - $118K/yr
About the Role Polymarket is looking for a Sr Data Scientist / Analyst, Fraud & Risk to proactively ... machine learning background - anomaly detection, graph analysis, or clustering in Python or R ...
Machine Learning Engineer II
New York, NY · On-site
$180K - $220K/yr
As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation ... fraud detection. * Develop and implement robust data pipelines at a variety of scales, including ...
Machine Learning Engineer II
New York, NY · On-site
$180K - $220K/yr
As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation ... fraud detection. * Develop and implement robust data pipelines at a variety of scales, including ...
Head of Fraud
New York, NY · On-site
Leverage data analytics to enhance fraud detection, transaction monitoring, and identity ... Hands-on experience with analytics, machine learning models, and automation tools. * Strong ...
Head of Fraud
New York, NY · On-site
Leverage data analytics to enhance fraud detection, transaction monitoring, and identity ... Hands-on experience with analytics, machine learning models, and automation tools. * Strong ...
Machine Learning Engineer II
New York, NY · On-site
$180K - $220K/yr
As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation ... fraud detection. * Develop and implement robust data pipelines at a variety of scales, including ...
Machine Learning Engineer II
New York, NY · On-site
$180K - $220K/yr
As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation ... fraud detection. * Develop and implement robust data pipelines at a variety of scales, including ...
Lead instruction in AI and machine learning concepts with a focus on: * AI and generative AI ... Real-world use cases: fraud detection, churn prediction, stock return modeling, pricing ...
Lead instruction in AI and machine learning concepts with a focus on: * AI and generative AI ... Real-world use cases: fraud detection, churn prediction, stock return modeling, pricing ...
Lead instruction in AI and machine learning concepts with a focus on: * AI and generative AI ... Real-world use cases: fraud detection, churn prediction, stock return modeling, pricing ...
Lead instruction in AI and machine learning concepts with a focus on: * AI and generative AI ... Real-world use cases: fraud detection, churn prediction, stock return modeling, pricing ...
Fraud AI/ML Platform Product Director
$254K - $266K/yr
Strong technical fluency across applied machine learning, data systems, and production constraints ... Experience productizing graph features/embeddings or graph ML for fraud ring detection, network ...
Fraud AI/ML Platform Product Director
$254K - $266K/yr
Strong technical fluency across applied machine learning, data systems, and production constraints ... Experience productizing graph features/embeddings or graph ML for fraud ring detection, network ...
... fraud detection systems across a diverse and growing portfolio of merchants. You'll work across ... Continuous learning - We challenge each other and constantly improve Why Join Us * Competitive ...
... fraud detection systems across a diverse and growing portfolio of merchants. You'll work across ... Continuous learning - We challenge each other and constantly improve Why Join Us * Competitive ...
... fraud detection, search ranking, text/sentiment classification, collaborative filtering ... Adapt standard machine learning methods to best exploit modern parallel environments (e.g ...
... fraud detection, search ranking, text/sentiment classification, collaborative filtering ... Adapt standard machine learning methods to best exploit modern parallel environments (e.g ...
... quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with ...
... quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with ...
Machine Learning Engineer
New York, NY · On-site
$110K - $135K/yr
Design, develop, deploy, and optimize machine learning models and Agentic AI systems that address ... Understanding of model governance, explainability, drift detection, bias monitoring, and AI risk ...
Machine Learning Engineer
New York, NY · On-site
$110K - $135K/yr
Design, develop, deploy, and optimize machine learning models and Agentic AI systems that address ... Understanding of model governance, explainability, drift detection, bias monitoring, and AI risk ...
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
Machine Learning Engineer (Junior)
New York, NY · On-site
$135K - $150K/yr
Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build ... training detection models * Manage distributed infrastructure for multi-GPU LLM training
Machine Learning Engineer (Junior)
New York, NY · On-site
$135K - $150K/yr
Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build ... training detection models * Manage distributed infrastructure for multi-GPU LLM training
Fraud Detection Machine Learning information
See Norwalk, CT salary details
$10.86 - $12.33
4% of jobs
$12.33 - $13.80
9% of jobs
$14.93 is the 25th percentile. Wages below this are outliers.
$13.80 - $15.27
15% of jobs
$15.27 - $16.74
20% of jobs
The median wage is $16.86 / hr.
$16.74 - $18.21
19% of jobs
$18.87 is the 75th percentile. Wages above this are outliers.
$18.21 - $19.68
17% of jobs
$19.68 - $21.15
7% of jobs
$21.15 - $22.62
4% of jobs
$22.62 - $24.09
2% of jobs
$24.09 - $25.55
1% of jobs
$25.55 - $27.02
1% of jobs
$10
$18
$27
How much do fraud detection machine learning jobs pay per hour?
As of Sep 4, 2026, the average hourly pay for fraud detection machine learning in Norwalk, CT is $18.12, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $19.33 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?
| Aspect | Fraud Detection Machine Learning | Fraud Analyst |
|---|---|---|
| Credentials | Data science, machine learning certifications, programming skills | Finance, criminal justice degrees, analytical skills |
| Work Environment | Data-driven, tech-focused, often in financial or e-commerce sectors | Investigative, report-focused, in financial institutions or insurance companies |
| Employer & Industry | Tech companies, banks, e-commerce platforms | Financial 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 Norwalk, CT are hiring for Fraud Detection Machine Learning jobs?
Cities near Norwalk, CT with the most Fraud Detection Machine Learning job openings:
Morgan Stanley rating
8.3
Based on 157 frontline employees who took The Breakroom Quiz
36th of 154 rated financial services
Job description
Company Profile
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management, and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
Team Profile
The Fraud Technology group within NFRT delivers solutions to detect, prevent, and analyze fraud across the enterprise. We partner with cybersecurity, fraud analytics, compliance, legal, data governance, and operations teams to design scalable and intelligent fraud detection platforms.
Our work includes building real-time, batch, and analytical systems, integrating vendor solutions, and driving adoption of Generative AI across fraud workflows.
Role Profile
As a Vice President - Java Engineering and Generative AI, you will lead the evolution of Morgan Stanley's real-time fraud screening platform, integrating machine learning and Generative AI capabilities.
You will collaborate with architects, analytics teams, and data governance partners while providing technical leadership to an Agile squad.
The role includes shaping engineering best practices, mentoring developers, driving solution design, and championing GenAI adoption across Fraud Technology.
Key Responsibilities
Platform and Application Engineering
AI and ML Integration
Technical Leadership
Architecture and Strategy
Core Engineering
Generative AI and Machine Learning
Cloud and DevOps
Soft Skills
Preferred Skills
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management, and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
Team Profile
The Fraud Technology group within NFRT delivers solutions to detect, prevent, and analyze fraud across the enterprise. We partner with cybersecurity, fraud analytics, compliance, legal, data governance, and operations teams to design scalable and intelligent fraud detection platforms.
Our work includes building real-time, batch, and analytical systems, integrating vendor solutions, and driving adoption of Generative AI across fraud workflows.
Role Profile
As a Vice President - Java Engineering and Generative AI, you will lead the evolution of Morgan Stanley's real-time fraud screening platform, integrating machine learning and Generative AI capabilities.
You will collaborate with architects, analytics teams, and data governance partners while providing technical leadership to an Agile squad.
The role includes shaping engineering best practices, mentoring developers, driving solution design, and championing GenAI adoption across Fraud Technology.
Key Responsibilities
Platform and Application Engineering
- Lead design and development of high-performance Java or Scala microservices for real-time fraud detection.
- Architect scalable solutions incorporating LLMs, vector search, prompt engineering, and RAG patterns.
- Integrate GenAI capabilities such as alert explanation, anomaly summarization, synthetic data generation, and automation.
- Drive cloud-ready and containerized development using Docker and Kubernetes.
AI and ML Integration
- Partner with data science teams to productionize machine learning and GenAI models.
- Implement APIs for AI inference, model orchestration, and governance.
- Ensure compliance with responsible AI, model risk, and data privacy standards.
Technical Leadership
- Guide engineering teams in CI or CD, DevOps tooling, code quality, and observability.
- Mentor junior engineers and promote innovation and continuous learning.
- Collaborate with fraud analysts, reporting teams, and data governance stakeholders.
Architecture and Strategy
- Contribute to the target-state architecture for fraud detection platforms.
- Evaluate new AI technologies and frameworks for enterprise adoption.
- Support roadmap planning and long-term strategic decisions. Required Skills and Experience
Core Engineering
- 10 plus years of hands-on Java engineering experience with strong knowledge of performance, concurrency, and distributed systems.
- Experience with Scala or willingness to learn.
- Strong understanding of microservices, distributed caching, and relational databases such as Sybase, Oracle, or MS SQL.
- Knowledge of messaging or middleware such as Kafka and MQ.
Generative AI and Machine Learning
- Practical experience with GenAI technologies including:
- LLMs such as OpenAI, Azure OpenAI, Anthropic
- Prompt engineering and RAG
- Vector databases such as Pinecone, FAISS, Weaviate, Elastic Vector Search
- Model deployment and inference using tools such as Transformers, LangChain, LlamaIndex
- Hands-on experience with Python for ML or AI workflows.
- Familiarity with MLOps, feature stores, and model monitoring is a plus.
Cloud and DevOps
- Experience building cloud-ready applications and containerized deployments using Docker and Kubernetes.
- Knowledge of CI or CD pipelines, automated testing, and observability tools such as Grafana, Splunk, and Prometheus.
Soft Skills
- Strong analytical and problem-solving ability.
- Excellent written and verbal communication skills.
- Ability to work effectively in a global and fast-paced environment.
- Strong stakeholder management and leadership skills.
Preferred Skills
- Background in fraud, cybersecurity, risk technology, or financial services.
- Understanding of reactive programming.
- Experience working in Agile or Scrum environments.
- Hands-on experience with distributed systems, event-driven architectures, and API-first design.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
What Morgan Stanley employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Morgan Stanley
Sourced by ZipRecruiter
Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.
Industry
Finance and insurance and software development
Company size
10,000+ Employees
Headquarters location
New York, NY, US