7,377 Payment Processing Analyst jobs in the United States

Data Scientist - Fraud Detection

94409 San Mateo, California Veryfi

Posted 2 days ago

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Job Description

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.
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Data Analyst (Fraud Detection)

94105 San Francisco, California $85000 Annually WhatJobs

Posted 7 days ago

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Job Description

full-time
Our client, a prominent institution in the Banking & Finance sector, is looking for a skilled Data Analyst specializing in Fraud Detection to join their team in San Francisco, California, US . This role is vital in protecting the company and its customers from financial fraud by analyzing complex datasets and developing effective detection strategies. The Data Analyst will be responsible for identifying suspicious patterns, developing and implementing fraud models, and monitoring the performance of existing fraud prevention systems. Key duties include extracting, cleaning, and analyzing large volumes of transactional data, utilizing statistical techniques and machine learning algorithms to detect fraudulent activities. You will collaborate closely with risk management, operations, and IT teams to investigate fraud cases, provide insights, and implement preventive measures. The ideal candidate will have a strong background in data analysis, statistical modeling, and a keen understanding of common fraud typologies within the financial industry. Proficiency in SQL, Python or R for data manipulation and analysis, and experience with data visualization tools (e.g., Tableau, Power BI) are essential. Experience with fraud detection platforms or tools is a plus. We are seeking an individual with excellent analytical and problem-solving skills, a meticulous attention to detail, and the ability to communicate complex findings clearly and concisely to both technical and non-technical audiences. This hybrid position allows for a flexible work arrangement, combining in-office collaboration with remote work capabilities in San Francisco, California, US .
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Principal Data Scientist - Fraud Detection

78205 San Antonio, Texas $150000 Annually WhatJobs

Posted 4 days ago

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Job Description

full-time
Our client is looking for a highly accomplished Principal Data Scientist to spearhead initiatives in fraud detection and prevention. This is a fully remote, impactful role where you will leverage cutting-edge machine learning techniques to build sophisticated models that safeguard our financial operations. You will be instrumental in defining the strategy for combating financial crime, designing and implementing advanced analytical solutions, and mentoring a team of talented data scientists. Your responsibilities will include identifying new fraud patterns, developing real-time detection algorithms, evaluating the performance of existing models, and collaborating with engineering teams to deploy solutions into production. This role requires a deep understanding of statistical modeling, machine learning algorithms (e.g., classification, anomaly detection, graph analysis), and big data technologies (e.g., Spark, Hadoop). You will be expected to stay abreast of the latest research and trends in data science and fraud analytics, translating complex findings into actionable insights for business stakeholders. A proven history of successfully deploying data-driven solutions to solve complex business problems is essential. You will need to communicate effectively with technical and non-technical audiences, present findings clearly, and influence decision-making at the executive level. A Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline is required, along with extensive professional experience. Exceptional programming skills in Python or R, and experience with SQL and NoSQL databases, are also necessary. If you are passionate about leveraging data to solve critical business challenges and eager to lead a team in a remote-first environment, this is an exceptional opportunity to make a significant contribution.
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Senior Data Scientist - Fraud Detection

46204 Indianapolis, Indiana $160000 Annually WhatJobs

Posted 7 days ago

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Job Description

full-time
Our client is seeking a highly skilled and experienced Senior Data Scientist to lead their fraud detection initiatives within a fully remote, data-driven environment. This pivotal role involves designing, developing, and deploying advanced machine learning models and algorithms to identify and prevent fraudulent activities across various platforms and services. You will leverage your expertise in data mining, statistical analysis, and predictive modeling to build robust systems that detect anomalies, patterns, and suspicious behaviors in real-time. Responsibilities include exploring large, complex datasets, identifying relevant features, and preprocessing data for model training. You will be instrumental in the entire machine learning lifecycle, from conceptualization and prototyping to implementation, monitoring, and continuous improvement of fraud detection models. This role requires a deep understanding of various ML techniques such as supervised and unsupervised learning, anomaly detection, deep learning, and network analysis. You will collaborate closely with engineering, product management, and risk operations teams to integrate models into production systems and ensure their effectiveness. Strong communication skills are essential to effectively present complex findings, insights, and model performance to both technical and non-technical stakeholders. The ideal candidate possesses a strong quantitative background, a passion for solving complex problems, and a proven track record of building and deploying successful data science solutions, particularly in fraud prevention or cybersecurity. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable. You will also contribute to establishing best practices in data science and mentor junior team members, fostering a culture of innovation and technical excellence. This is a unique opportunity to significantly impact the security and integrity of our client's operations.

Key Responsibilities:
  • Design, develop, and implement machine learning models for real-time fraud detection.
  • Analyze large, complex datasets to identify patterns, anomalies, and risk indicators.
  • Perform feature engineering and data preprocessing for model development.
  • Evaluate and optimize model performance using appropriate metrics.
  • Deploy models into production environments and monitor their ongoing effectiveness.
  • Collaborate with engineering and product teams to integrate data science solutions.
  • Present findings, insights, and model performance to stakeholders.
  • Research and stay up-to-date with the latest advancements in machine learning and fraud detection techniques.
  • Mentor junior data scientists and contribute to the team's technical growth.
  • Contribute to the development of data science best practices and infrastructure.
Required Qualifications:
  • Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience as a Data Scientist, with a focus on fraud detection or similar areas.
  • Strong proficiency in programming languages such as Python or R.
  • Extensive experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Deep understanding of statistical modeling, machine learning algorithms, and anomaly detection techniques.
  • Experience working with large datasets and big data technologies (e.g., Spark, Hadoop).
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps principles.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain complex concepts clearly.
  • Proven ability to work independently and collaboratively in a remote setting.
This fully remote position offers the flexibility to work from anywhere within the US. We are looking for a self-motivated and innovative individual to drive our client's fraud prevention strategies forward.
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Sr. Credit Card Fraud Detection Analyst

19894 Wilmington, Delaware OneMain Financial

Posted today

Job Viewed

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Job Description

In the Role

  • Develop & implement detection strategies for fraud claim abuse.
  • Perform fraud claim analysis within the credit card portfolio and build appropriate alerting / reporting for monitoring trends to identify emerging anomalies that could be indicative of fraud events.
  • Work with the card processor to understand and influence authentication and authorization settings, including for 3D Secure.
  • Ensure we are compliant with Mastercard card processing requirements.
  • Conduct necessary Mastercard fraud reporting.
  • Identify, verify and analyze data defects/issues and communicate with appropriate teams to determine the root cause for issue resolution.
  • Execute ad-hoc data processing jobs to enhance fraud prevention efforts.
  • Energy, curiosity, and ability to frame intelligent questions to uncover issues and spearhead the formulation of approach and methodology.
  • A high degree of comfort drawing well-supported insights from complicated datasets and performing a risk/reward trade-off analysis to influence and convey a point of view to the leadership team.
  • Ability to work in a fast-paced, ever-changing environment and to juggle an array of tasks on tight timelines.
  • Self-motivated and organized a high degree of comfort managing multiple stakeholders and team members; strong collaboration and teamwork skills; and a problem-solver oriented toward achieving results.
  • Innovative and capable of developing a highly analytical approach to solving problems.
  • Ability to work independently and within a team setting with minimal direction/supervision.

Requirements

  • 3+ years experience in analytics roles within financial services
  • Proficient user of SQL, SAS, Looker, Power BI (or equivalent data visualization tools).
  • Masters degree in quantitative field study (mathematics, statistics, economics, data science, or engineering).
  • Proficient knowledge of Microsoft Excel/PowerPoint.
  • Strong communication, interpersonal, and negotiation skills to gain trust and achieve business objectives.

Preferred:

  • Experience within a Fintech company is a plus.
  • Fraud risk management experience is strongly preferred.
  • Experience with Python is a plus

Location: Location: Wilmington, DE Hybrid

Who we Are

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, weve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, were committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. Theres never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. Thats why weve packed our comprehensive benefits package for full- and some part-timers with:

  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
  • Up to 4% matching 401(k)?
  • Employee Stock Purchase Plan (10% share discount)?
  • Tuition reimbursement?
  • Paid time off (15 days vacation per year, plus 2 personal days, prorated based on start date)
  • Paid sick leave as determined by state or local ordinance, prorated based on start date
  • Paid holidays (7 days per year, based on start date)
  • Paid volunteer time (3 days per year, prorated based on start date)
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Sr. Credit Card Fraud Detection Analyst

28245 Charlotte, North Carolina OneMain Financial

Posted today

Job Viewed

Tap Again To Close

Job Description

In the Role

  • Develop & implement detection strategies for fraud claim abuse.
  • Perform fraud claim analysis within the credit card portfolio and build appropriate alerting / reporting for monitoring trends to identify emerging anomalies that could be indicative of fraud events.
  • Work with the card processor to understand and influence authentication and authorization settings, including for 3D Secure.
  • Ensure we are compliant with Mastercard card processing requirements.
  • Conduct necessary Mastercard fraud reporting.
  • Identify, verify and analyze data defects/issues and communicate with appropriate teams to determine the root cause for issue resolution.
  • Execute ad-hoc data processing jobs to enhance fraud prevention efforts.
  • Energy, curiosity, and ability to frame intelligent questions to uncover issues and spearhead the formulation of approach and methodology.
  • A high degree of comfort drawing well-supported insights from complicated datasets and performing a risk/reward trade-off analysis to influence and convey a point of view to the leadership team.
  • Ability to work in a fast-paced, ever-changing environment and to juggle an array of tasks on tight timelines.
  • Self-motivated and organized a high degree of comfort managing multiple stakeholders and team members; strong collaboration and teamwork skills; and a problem-solver oriented toward achieving results.
  • Innovative and capable of developing a highly analytical approach to solving problems.
  • Ability to work independently and within a team setting with minimal direction/supervision.

Requirements

  • 3+ years experience in analytics roles within financial services
  • Proficient user of SQL, SAS, Looker, Power BI (or equivalent data visualization tools).
  • Masters degree in quantitative field study (mathematics, statistics, economics, data science, or engineering).
  • Proficient knowledge of Microsoft Excel/PowerPoint.
  • Strong communication, interpersonal, and negotiation skills to gain trust and achieve business objectives.

Preferred:

  • Experience within a Fintech company is a plus.
  • Fraud risk management experience is strongly preferred.
  • Experience with Python is a plus

Location: Location: Wilmington, DE Hybrid

Who we Are

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, weve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, were committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. Theres never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. Thats why weve packed our comprehensive benefits package for full- and some part-timers with:

  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
  • Up to 4% matching 401(k)?
  • Employee Stock Purchase Plan (10% share discount)?
  • Tuition reimbursement?
  • Paid time off (15 days vacation per year, plus 2 personal days, prorated based on start date)
  • Paid sick leave as determined by state or local ordinance, prorated based on start date
  • Paid holidays (7 days per year, based on start date)
  • Paid volunteer time (3 days per year, prorated based on start date)
View Now

Sr. Credit Card Fraud Detection Analyst

19893 Wilmington, Delaware OneMain Financial

Posted 1 day ago

Job Viewed

Tap Again To Close

Job Description

**In the Role**
+ Develop & implement detection strategies for fraud claim abuse.
+ Perform fraud claim analysis within the credit card portfolio and build appropriate alerting / reporting for monitoring trends to identify emerging anomalies that could be indicative of fraud events.
+ Work with the card processor to understand and influence authentication and authorization settings, including for 3D Secure.
+ Ensure we are compliant with Mastercard card processing requirements.
+ Conduct necessary Mastercard fraud reporting.
+ Identify, verify and analyze data defects/issues and communicate with appropriate teams to determine the root cause for issue resolution.
+ Execute ad-hoc data processing jobs to enhance fraud prevention efforts.
+ Energy, curiosity, and ability to frame intelligent questions to uncover issues and spearhead the formulation of approach and methodology.
+ A high degree of comfort drawing well-supported insights from complicated datasets and performing a risk/reward trade-off analysis to influence and convey a point of view to the leadership team.
+ Ability to work in a fast-paced, ever-changing environment and to juggle an array of tasks on tight timelines.
+ Self-motivated and organized - a high degree of comfort managing multiple stakeholders and team members; strong collaboration and teamwork skills; and a problem-solver oriented toward achieving results.
+ Innovative and capable of developing a highly analytical approach to solving problems.
+ Ability to work independently and within a team setting with minimal direction/supervision.
**Requirements**
+ 3+ years' experience in analytics roles within financial services
+ Proficient user of SQL, SAS, Looker, Power BI (or equivalent data visualization tools).
+ Master's degree in quantitative field study (mathematics, statistics, economics, data science, or engineering).
+ Proficient knowledge of Microsoft Excel/PowerPoint.
+ Strong communication, interpersonal, and negotiation skills to gain trust and achieve business objectives.
**Preferred:**
+ Experience within a Fintech company is a plus.
+ Fraud risk management experience is strongly preferred.
+ Experience with Python is a plus
**Location:** **Location:** **Wilmington, DE Hybrid**
**Who we Are**
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:
+ Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
+ Up to 4% matching 401(k)  
+ Employee Stock Purchase Plan (10% share discount)  
+ Tuition reimbursement  
+ Paid time off (15 days' vacation per year, plus 2 personal days, prorated based on start date)
+ Paid sick leave as determined by state or local ordinance, prorated based on start date
+ Paid holidays (7 days per year, based on start date)
+ Paid volunteer time (3 days per year, prorated based on start date)
OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) and Affirmative Action (AA) employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identify, national origin, age, marital status, protected veteran status, or disability status.
View Now
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Director, Fraud Detection and Prevention Lead

10176 New York, New York Citigroup

Posted 5 days ago

Job Viewed

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Job Description

The Spread Products Financing & Securitization (F&S) business provides sophisticated financing solutions and securitization expertise across various asset classes. We operate in a complex, fast-paced environment, requiring robust risk management and control frameworks.
**Position Summary:**
We are seeking a highly experienced and strategic Director to lead the development and implementation of a comprehensive fraud detection and prevention program within the F&S business. This role will be instrumental in safeguarding the firm's assets, mitigating financial crime risks, and ensuring adherence to regulatory requirements. The successful candidate will possess deep expertise in fraud risk management, a strong understanding of financial products, and proven leadership capabilities.
**Key Responsibilities:**
+ **Program Leadership:** Design, develop, and implement a robust, end-to-end fraud detection and prevention program tailored to the specific risks inherent in F&S.
+ **Risk Assessment:** Conduct regular and comprehensive fraud risk assessments to identify vulnerabilities, emerging threats, and potential control gaps within business processes, systems, and transactions.
+ **Strategy Development:** Formulate and execute strategic initiatives to enhance fraud detection capabilities, including the adoption of advanced analytics, machine learning, and other technological solutions.
+ **Policy & Procedure Development:** Establish and maintain clear, effective policies, procedures, and controls to prevent, detect, and respond to fraudulent activities. Ensure alignment with global financial crime standards and local regulatory requirements.
+ **Incident Management:** Oversee the investigation of suspected fraudulent activities, working closely with internal security, legal, compliance, and audit teams, as well as external law enforcement when necessary.
+ **Stakeholder Engagement:** Collaborate extensively with business heads, operations, technology, legal, compliance, and other control functions to embed fraud prevention measures into daily operations and new product development.
+ **Regulatory Compliance:** Ensure the program complies with all relevant anti-fraud laws, regulations, and industry best practices. Stay abreast of changes in the regulatory landscape and adjust the program accordingly.
+ **Reporting & Metrics:** Develop key performance indicators (KPIs) and metrics to monitor the effectiveness of the fraud program. Provide regular reporting to senior management and relevant committees on fraud trends, risks, and program performance.
+ **Training & Awareness:** Develop and deliver training programs to raise awareness of fraud risks and prevention techniques across the business unit.
+ **Team Leadership:** Potentially lead and mentor a small team or matrix-manage resources dedicated to fraud prevention efforts.
**Qualifications:**
+ **Experience:**
+ Minimum of 10+ years of experience in fraud risk management, financial crime, forensic investigations, legal, or a related field within the financial services industry, preferably with exposure to capital markets, financing, or securitization products.
+ Demonstrated experience in designing, implementing, and managing comprehensive fraud prevention programs.
+ Proven experience at a Director level or equivalent leadership role.
+ **Education:** Bachelor's degree required. Advanced degree (e.g., MBA, JD) or relevant professional certifications (e.g., CFE, ACAMS) highly preferred.
+ **Skills & Competencies:**
+ Deep understanding of fraud typologies, red flags, and prevention techniques relevant to complex financial products and transactions.
+ Strong knowledge of global financial crime regulations and compliance frameworks (e.g., AML, sanctions, anti-bribery).
+ Excellent analytical and problem-solving skills, with the ability to interpret complex data and identify patterns.
+ Proficiency in leveraging technology for fraud detection (e.g., data analytics tools, fraud monitoring systems).
+ Exceptional communication (written and verbal), interpersonal, and presentation skills, with the ability to influence and collaborate effectively across all levels of the organization.
+ Strong organizational skills with the ability to manage multiple priorities and projects simultaneously.
+ High degree of integrity, ethical conduct, and discretion.
**Why Join Us:**
This is a unique opportunity to lead a critical function within a dynamic business unit. You will have the chance to build a significant program, work with cutting-edge technologies, and directly contribute to the firm's stability and success in a challenging and rewarding environment. We offer a competitive compensation package and opportunities for professional growth.
---
**Job Family Group:**
Business Strategy, Management & Administration
---
**Job Family:**
Business Execution & Administration
---
**Time Type:**
Full time
---
**Primary Location:**
New York New York United States
---
**Primary Location Full Time Salary Range:**
$200,000.00 - $300,000.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
**Anticipated Posting Close Date:**
Oct 09, 2025
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi ( ._
_View Citi's EEO Policy Statement ( and the Know Your Rights ( poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
View Now

Director, Fraud Detection and Prevention Lead

New York, New York Citigroup Inc.

Posted today

Job Viewed

Tap Again To Close

Job Description

The Spread Products Financing & Securitization (F&S) business provides sophisticated financing solutions and securitization expertise across various asset classes. We operate in a complex, fast-paced environment, requiring robust risk management and control frameworks. Position Summary: We are seeking a highly experienced and strategic Director to lead the development and implementation of a comprehensive fraud detection and prevention program within the F&S business. This role will be instrumental in safeguarding the firm's assets, mitigating financial crime risks, and ensuring adherence to regulatory requirements. The successful candidate will possess deep expertise in fraud risk management, a strong understanding of financial products, and proven leadership capabilities. Key Responsibilities:

  • Program Leadership: Design, develop, and implement a robust, end-to-end fraud detection and prevention program tailored to the specific risks inherent in F&S.
  • Risk Assessment: Conduct regular and comprehensive fraud risk assessments to identify vulnerabilities, emerging threats, and potential control gaps within business processes, systems, and transactions.
  • Strategy Development: Formulate and execute strategic initiatives to enhance fraud detection capabilities, including the adoption of advanced analytics, machine learning, and other technological solutions.
  • Policy & Procedure Development: Establish and maintain clear, effective policies, procedures, and controls to prevent, detect, and respond to fraudulent activities. Ensure alignment with global financial crime standards and local regulatory requirements.
  • Incident Management: Oversee the investigation of suspected fraudulent activities, working closely with internal security, legal, compliance, and audit teams, as well as external law enforcement when necessary.
  • Stakeholder Engagement: Collaborate extensively with business heads, operations, technology, legal, compliance, and other control functions to embed fraud prevention measures into daily operations and new product development.
  • Regulatory Compliance: Ensure the program complies with all relevant anti-fraud laws, regulations, and industry best practices. Stay abreast of changes in the regulatory landscape and adjust the program accordingly.
  • Reporting & Metrics: Develop key performance indicators (KPIs) and metrics to monitor the effectiveness of the fraud program. Provide regular reporting to senior management and relevant committees on fraud trends, risks, and program performance.
  • Training & Awareness: Develop and deliver training programs to raise awareness of fraud risks and prevention techniques across the business unit.
  • Team Leadership: Potentially lead and mentor a small team or matrix-manage resources dedicated to fraud prevention efforts.
Qualifications: * Experience:
  • Minimum of 10+ years of experience in fraud risk management, financial crime, forensic investigations, legal, or a related field within the financial services industry, preferably with exposure to capital markets, financing, or securitization products.
  • Demonstrated experience in designing, implementing, and managing comprehensive fraud prevention programs.
  • Proven experience at a Director level or equivalent leadership role.
  • Education: Bachelor's degree required. Advanced degree (e.g., MBA, JD) or relevant professional certifications (e.g., CFE, ACAMS) highly preferred.
* Skills & Competencies:
  • Deep understanding of fraud typologies, red flags, and prevention techniques relevant to complex financial products and transactions.
  • Strong knowledge of global financial crime regulations and compliance frameworks (e.g., AML, sanctions, anti-bribery).
  • Excellent analytical and problem-solving skills, with the ability to interpret complex data and identify patterns.
  • Proficiency in leveraging technology for fraud detection (e.g., data analytics tools, fraud monitoring systems).
  • Exceptional communication (written and verbal), interpersonal, and presentation skills, with the ability to influence and collaborate effectively across all levels of the organization.
  • Strong organizational skills with the ability to manage multiple priorities and projects simultaneously.
  • High degree of integrity, ethical conduct, and discretion.
Why Join Us: This is a unique opportunity to lead a critical function within a dynamic business unit. You will have the chance to build a significant program, work with cutting-edge technologies, and directly contribute to the firm's stability and success in a challenging and rewarding environment. We offer a competitive compensation package and opportunities for professional growth. * --- Job Family Group: Business Strategy, Management & Administration * --- Job Family: Business Execution & Administration * --- Time Type: Full time * --- Primary Location: New York New York United States * --- Primary Location Full Time Salary Range: $200,000.00 - $300,000.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. * --- Most Relevant Skills Please see the requirements listed above. * --- Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. * --- Anticipated Posting Close Date: Oct 09, 2025 * --- Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

View Now

Director, Fraud Detection and Prevention Lead

New
New York, New York Citigroup Inc.

Posted today

Job Viewed

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Job Description

Program Leadership: Design, develop, and implement a robust, end-to-end fraud detection and prevention program tailored to the specific risks inherent in F&S. Risk Assessment: Conduct regular and comprehensive fraud risk assessments to identify vulne Director, Fraud, Program Leader, Leadership, Team Leader, Fraud Prevention, Banking, Business Services

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  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
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