1,991 Fraud Management jobs in the United States

If you are hired to this position, you will be employed by Magnit Global. You will not be employed by City National Bank.

The Opportunity: A Fraud Detection Specialist level I, will review alerts/transactions that are flagged as potentially fraudulent, or out of pattern, based on the client's normal activity. Alerts and/or transactions may consist of various payment types and colleagues in this department are tasked with reviewing and verifying these alerted transactions via outbound and/or inbound call, in addition to initiating dispute claims. This position will play a key role in the prevention of losses to the client and its clients. The Fraud Detection Specialist I, is a position requiring banking operations and/or contact center knowledge, and a general knowledge of fraud identification and prevention.

The Responsibilities:

• The Fraud Specialist is responsible for reviewing fraud alerts and internal notifications to identify fraudulent or suspicious activity
• Following established policies and procedures, initiates appropriate actions steps to mitigate risk and protect the Bank from financial loss
• Opens cases/claims on all suspicious activity and appropriately investigate, and escalate when needed
• Works to detect various fraud schemes (email compromise, elder abuse, counterfeit checks, ATO, etc.) and characteristics of red flags, performs additional duties as assigned
• Performs defined mitigation steps to reduce financial loss to our customers and the bank
• Responsible for detecting fraudulent transactions and maintaining a minimal error rate in high-volume, high risk (large dollar) department
• Performs fraud alert review activities by following standard scripts and procedures
• Review/decision alerts in Fraud application, and work independently while applying operating guidelines to make informed independent decisions
• Consults with senior peers and team leads on moderate to complex issues to learn through experience

The Qualifications:

• Experience working in a fast paced environment that demands excellent organizational and interpersonal skills
• Strong communications skills to handle complicated or sensitive information to customers and other outside parties in a timely manner
• Preferred 1 year of general office, back office banking or accounting experience
• Advanced computer experience required (e.g. MS Word, Outlook and Excel)
• Preferred 1 year in banking operations or contact center experience
• Preferred 1 year of experience in fraud investigations, disputes, and/or fraud exposure
• Must work well in a team environment, as well as independently
• Demonstrate resiliency and adaptability in a fast-paced contact center environment
• Approach problems logically and with good judgment to ensure the appropriate customer outcome
• Demonstrate personal excellence including punctuality, integrity, and accountability
• Comfortable in a metrics driven environment that requires the ability to prioritize and multitask
• Think critically and exercise independent judgement
• Ability to complete assigned duties within daily deadlines, both efficiently, timely, and with minimal supervision to meet KPIs and SLAs
• Bachelor's degree a plus

This is the pay range that Magnit reasonably expects to pay for this position: $25.82/hour - $27.68/hour Benefits: Medical, Dental, Vision, 401K

Qualification/Licensure:

• Work Authorization: Green Card, US Citizen, Other valid work visa
• Preferred years of experience: 1 years
• Travel required: No travel required
• Shift timings:

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A Fraud Detection Specialist level I will review alerts/transactions that are flagged as potentially fraudulent, or out of pattern, based on the client's normal activity. Alerts and/or transactions may consist of various payment types and colleagues in this department are tasked with reviewing and verifying these alerted transactions via outbound and/or inbound call, in addition to initiating dispute processes.

Location:

Training: Will last minimally 2 weeks and will have an anticipated schedule of 9:00am-6:00pm

Hours: Tuesday- Saturday from 12:30pm-9:00pm ET

Location: This role will require 2 days in office per week

About the Team

As a part of Fraud Services, the Fraud Detection and Risk Analysis (FDRA) team focuses on detecting and preventing fraud related activity to minimize losses to the bank and enhance our relationships with our customers. We execute on a pro-active strategy of fraud detection, protecting both the bank and our customer, while providing shareholder value.

About the Role

The Lead Specialist performs a variety of complex and specialized tasks associated with identifying suspected Digital Banking fraud and will review deposit accounts and online banking. Performs detailed examinations on electronically initiated transactions to confirm or disprove potential fraud related transactions and related activity.

Essential Tasks and Responsibilities

• Perform detailed analysis on electronic transactions and activities that appear to support suspicions of fraudulent activity and provide detailed documentary evidence to support findings
• Take precautionary measures on accounts and/ or transactions to mitigate risk to KeyBank and/ or Key Bank clients and provide direction to all lines of businesses supported by Fraud Services
• Communicate information on deposit fraud suspects to account relationship officers, corporate investigations, and area management
• Document daily review and analysis of suspect transactions, providing area management with reports recapping current efforts
• Obtain and provide detailed documentary evidence to support confirmed fraud activity
• Maintain ongoing communication with internal and external clients regarding associated account resolution
• Other specialized tasks when required

Requirements and Qualifications

• HS Diploma or equivalent is required
• Minimum 2 years banking operations and/or fraud operations experience is strongly preferred
• Proven accuracy and organizational skills
• Proven ability to manage multiple diverse tasks simultaneously
• Ability to complete functions within available timeframes and achieve service level agreements to ensure regulatory compliance
• Proven written and verbal communication skills
• Proven ability to analyze, solve problems, and make decisions effectively and independently.
• Digital proficiency in MS Office 365 and comfortability navigating through multiple systems in a fast-paced environment

COMPENSATION AND BENEFITS

This position is eligible to earn a base hourly rate in the range of $21.00 to $22.00 per hour depending on location and job-related factors such as level of experience

Please click here for a list of benefits for which this position is eligible.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing

Job DescriptionJob 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 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

Veryfi deals with business documents. We are a fast-growing company that deals with countless business documents of all types. The ability to discern fraudulent documents is pivotal to our company. Our customers rely on us to tell apart fraud submission from the genuine article. The earlier in the process we can pinpoint fraud, the more we can spare the aggravations further down the process line.

Veryfi is looking for a fraud expert to join our AI team to drive innovation in both digital and physical document forgery detection. We want you to be part of the team that will lead in world-class fraud detection. We are looking for someone almost obsessively detail-oriented with equal measure in formal mathematical/academic training and industry seasoning with a proven track record of delivering solutions to very complex problems with your immense creativity. We want someone who not only has written seminal journal papers in relevant fields, but also has some experience being part of a team that has nurtured their work into production.

We expect you to become an expert on analyzing document fraud in all manifestations. Define a clear and comprehensive approach in the fraud identification model that anticipates and adapts to future fraud approach attempts. Fraudsters are only too willing to move on to the next approach once their present scheme is detected. We strive to get ahead of them rather than merely react.

Expectations:

• A razor-sharp intellect
• 2+ years of work experience in fraud detection
• Excellent academic credentials with at least a BS in Mathematics, Statistics, CompSci, etc… We would consider very strong candidates with more years of relevant experience in lieu of alphabets array (MS, PhD)
• Experience with necessary tools including Spark, Elasticsearch, DBs (SQL, NoSQL, GraphDB)
• Strong programming skills - If you need someone else to write into production code your innovative fraud solution then maybe this position is not for you.