188 Fraud Examination jobs in the United States
Data Scientist - Fraud Detection
Posted 8 days ago
Job Viewed
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.
- 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.
- 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
Data Scientist - Fraud Detection
Posted 25 days ago
Job Viewed
Job Description
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 #J-18808-Ljbffr
Credit Card Fraud Detection Analyst
Posted 1 day ago
Job Viewed
Job Description
+ 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 or Charlotte, NC 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.
Data Scientist - Fraud Detection (Mountain View)
Posted 1 day ago
Job Viewed
Job Description
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
#J-18808-LjbffrData Scientist - Fraud Detection (Mountain View)
Posted 1 day ago
Job Viewed
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.
- Bachelor’s or 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.
- Familiarity with big data tools (Spark, Hadoop, Dask).
- Knowledge of graph-based fraud detection techniques.
- Experience with cloud platforms (AWS, GCP, Azure).
PTO, Stock Option, Health Benefits
#J-18808-LjbffrAVP, Fraud Detection, Analysis and Technology (Seattle)
Posted today
Job Viewed
Job Description
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Role Summary/Purpose: The AVP, Fraud Detection, Analysis and Technology is part of the Fraud Detection and Analysis Team tasked to drive fraud mitigation through the detection and related reduction of fraud risks. The AVP will operate fraud technology solutions to assist company fraud teams in identification, investigation, mitigation, and prevention of fraud.
Essential Responsibilities:
- Conduct fraud investigations and detection, with a strong understanding of fraud trends within the financial/card industry, technology systems, analytics, and investigations.
- Manage systems including data storage, operational systems, fraud strategies, and ensure compliance with regulatory requirements.
- Collaborate with cross-functional teams to achieve fraud detection and risk mitigation goals.
- Interact with investigators, analysts, and technology teams to identify fraud and related activities.
- Utilize tools like NEO4J, Linkurious, and execute detective strategies including Cypher coding for queries and analytical rule development.
- Assist in developing and implementing strategies for early fraud detection using advanced analytics and platforms.
- Prepare analytical reports and support investigations by analyzing data from various platforms.
- Identify emerging fraud threats and trends to proactively prevent losses.
- Coordinate with law enforcement and internal teams to establish analytics rules and linkage analysis.
- Review system alerts and intelligence to identify potential fraud threats.
- Perform other duties and special projects as assigned.
Qualifications/Requirements:
- Bachelor's degree with at least 24 months of experience in fraud investigations or 5 years leveraging data and statistical tools in risk functions.
- Minimum of 2 years designing fraud detection strategies or supporting fraud detection processes.
- Experience with SAS, SQL, Python, Cypher, or similar tools for data analysis.
Desired Characteristics:
- Knowledge of fraud detective tools and frameworks like Cypher, Splunk, SPL, Tableau, SIEM.
- Understanding of analytical tools, data warehouses, machine learning, and Graph data science.
- Strong analytical, problem-solving, project management, and communication skills.
- Ability to work in a fast-paced environment and maintain confidentiality.
- Graduate degree in Mathematics, Statistics, or Data Science preferred.
The salary range is $115,000 - $200,000 annually, with eligibility for bonuses based on performance. Actual compensation depends on experience and skill level.
Eligibility Requirements:
- Must be 18 or older, with a high school diploma or equivalent.
- Willing to undergo drug testing, background check, and fingerprinting.
- Legal authorization to work in the U.S. required; no visa sponsorship available.
Our Commitment: We value diversity and inclusion, fostering a culture where all voices are heard and respected.
Reasonable Accommodation: We provide accommodations for qualified individuals with disabilities. Contact our Career Support Line at 1- for assistance.
Job Family Group: Data Analytics
Employment Type: Full-time
Job Function: Finance
Note: The job posting appears active based on provided data, but verify on the official site for current status.
#J-18808-LjbffrFinancial Crime Manager
Posted today
Job Viewed
Job Description
About the RoleAs a Financial Crime Manager, you will be at the forefront of helping financial services organizations manage and mitigate risks related to AML (Anti-Money Laundering), KYC (Know Your Customer), sanctions, and other financial crimes. You'll work directly with clients to develop innovative strategies and solutions to enhance their risk and compliance frameworks, while also leveraging data and analytics to create actionable insights.
You'll play a critical role in building strong client relationships, managing project teams, and delivering solutions that help organizations stay compliant with ever-changing regulations while creating value through improved processes. Simplify Compliance and Improve Risk Management | Accenture ( Responsibilities:
+ Assess and design risk mitigation strategies focused on AML, KYC, and financial crimes for leading financial services organizations.
+ Lead and manage cross-functional project teams to deliver client solutions on time and within budget.
+ Use data analytics and digital technologies to identify opportunities for process improvement and enhanced risk management.
+ Provide thought leadership and guidance on how to transform Financial Crime Programs
+ Develop client proposals and foster long-term relationships with senior executives.
+ Apply design-led thinking to improve customer experiences while ensuring compliance with risk and regulatory standards.
+ Monitor regulatory changes and emerging technologies that impact the financial services industry, advising clients on necessary adjustments to their compliance programs.
+ Champion Accenture's products and initiatives within the finance, risk, and compliance space.
Travel:T ravel as needed based on client expectations.
Basic Qualifications:
+ 5+ years of experience in risk and regulatory compliance within banking, capital markets, or insurance industries, including strong knowledge of financial regulations).
+ 3+ years of management consulting experience focused on risk and regulatory management for financial services clients.
+ Bachelor's degree.
Preferred Qualifications:
+ In-depth knowledge of Financial Crime operating models, regulatory requirements, and compliance standards.
+ Expertise in designing and re-engineering compliance processes including understanding technology vendors in this space
+ Strong project management skills, including engagement leadership, practice development, and client relationship building.
+ Experience with front- and back-office operations within financial services.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ( Location Annual Salary Range
California $94,400 to $93,800
Colorado 94,400 to 253,800
District of Columbia 100,500 to 270,300
Illinois 87,400 to 253,800
Minnesota 94,400 to 253,800
Maryland 94,400 to 253,800
New York/New Jersey 87,400 to 293,800
Washington 100,500 to 270,300
#LI-NA-FY25
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here ( Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 ( , send us an email ( or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
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Financial Crime Manager
Posted today
Job Viewed
Job Description
About the RoleAs a Financial Crime Manager, you will be at the forefront of helping financial services organizations manage and mitigate risks related to AML (Anti-Money Laundering), KYC (Know Your Customer), sanctions, and other financial crimes. You'll work directly with clients to develop innovative strategies and solutions to enhance their risk and compliance frameworks, while also leveraging data and analytics to create actionable insights.
You'll play a critical role in building strong client relationships, managing project teams, and delivering solutions that help organizations stay compliant with ever-changing regulations while creating value through improved processes. Simplify Compliance and Improve Risk Management | Accenture ( Responsibilities:
+ Assess and design risk mitigation strategies focused on AML, KYC, and financial crimes for leading financial services organizations.
+ Lead and manage cross-functional project teams to deliver client solutions on time and within budget.
+ Use data analytics and digital technologies to identify opportunities for process improvement and enhanced risk management.
+ Provide thought leadership and guidance on how to transform Financial Crime Programs
+ Develop client proposals and foster long-term relationships with senior executives.
+ Apply design-led thinking to improve customer experiences while ensuring compliance with risk and regulatory standards.
+ Monitor regulatory changes and emerging technologies that impact the financial services industry, advising clients on necessary adjustments to their compliance programs.
+ Champion Accenture's products and initiatives within the finance, risk, and compliance space.
Travel:T ravel as needed based on client expectations.
Basic Qualifications:
+ 5+ years of experience in risk and regulatory compliance within banking, capital markets, or insurance industries, including strong knowledge of financial regulations).
+ 3+ years of management consulting experience focused on risk and regulatory management for financial services clients.
+ Bachelor's degree.
Preferred Qualifications:
+ In-depth knowledge of Financial Crime operating models, regulatory requirements, and compliance standards.
+ Expertise in designing and re-engineering compliance processes including understanding technology vendors in this space
+ Strong project management skills, including engagement leadership, practice development, and client relationship building.
+ Experience with front- and back-office operations within financial services.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ( Location Annual Salary Range
California $94,400 to $93,800
Colorado 94,400 to 253,800
District of Columbia 100,500 to 270,300
Illinois 87,400 to 253,800
Minnesota 94,400 to 253,800
Maryland 94,400 to 253,800
New York/New Jersey 87,400 to 293,800
Washington 100,500 to 270,300
#LI-NA-FY25
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here ( Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 ( , send us an email ( or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
Financial Crime Manager
Posted 1 day ago
Job Viewed
Job Description
About the RoleAs a Financial Crime Manager, you will be at the forefront of helping financial services organizations manage and mitigate risks related to AML (Anti-Money Laundering), KYC (Know Your Customer), sanctions, and other financial crimes. You'll work directly with clients to develop innovative strategies and solutions to enhance their risk and compliance frameworks, while also leveraging data and analytics to create actionable insights.
You'll play a critical role in building strong client relationships, managing project teams, and delivering solutions that help organizations stay compliant with ever-changing regulations while creating value through improved processes. Simplify Compliance and Improve Risk Management | Accenture ( Responsibilities:
+ Assess and design risk mitigation strategies focused on AML, KYC, and financial crimes for leading financial services organizations.
+ Lead and manage cross-functional project teams to deliver client solutions on time and within budget.
+ Use data analytics and digital technologies to identify opportunities for process improvement and enhanced risk management.
+ Provide thought leadership and guidance on how to transform Financial Crime Programs
+ Develop client proposals and foster long-term relationships with senior executives.
+ Apply design-led thinking to improve customer experiences while ensuring compliance with risk and regulatory standards.
+ Monitor regulatory changes and emerging technologies that impact the financial services industry, advising clients on necessary adjustments to their compliance programs.
+ Champion Accenture's products and initiatives within the finance, risk, and compliance space.
Travel:T ravel as needed based on client expectations.
Basic Qualifications:
+ 5+ years of experience in risk and regulatory compliance within banking, capital markets, or insurance industries, including strong knowledge of financial regulations).
+ 3+ years of management consulting experience focused on risk and regulatory management for financial services clients.
+ Bachelor's degree.
Preferred Qualifications:
+ In-depth knowledge of Financial Crime operating models, regulatory requirements, and compliance standards.
+ Expertise in designing and re-engineering compliance processes including understanding technology vendors in this space
+ Strong project management skills, including engagement leadership, practice development, and client relationship building.
+ Experience with front- and back-office operations within financial services.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ( Location Annual Salary Range
California $94,400 to $93,800
Colorado 94,400 to 253,800
District of Columbia 100,500 to 270,300
Illinois 87,400 to 253,800
Minnesota 94,400 to 253,800
Maryland 94,400 to 253,800
New York/New Jersey 87,400 to 293,800
Washington 100,500 to 270,300
#LI-NA-FY25
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here ( Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
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Financial Crime Manager
Posted 1 day ago
Job Viewed
Job Description
About the RoleAs a Financial Crime Manager, you will be at the forefront of helping financial services organizations manage and mitigate risks related to AML (Anti-Money Laundering), KYC (Know Your Customer), sanctions, and other financial crimes. You'll work directly with clients to develop innovative strategies and solutions to enhance their risk and compliance frameworks, while also leveraging data and analytics to create actionable insights.
You'll play a critical role in building strong client relationships, managing project teams, and delivering solutions that help organizations stay compliant with ever-changing regulations while creating value through improved processes. Simplify Compliance and Improve Risk Management | Accenture ( Responsibilities:
+ Assess and design risk mitigation strategies focused on AML, KYC, and financial crimes for leading financial services organizations.
+ Lead and manage cross-functional project teams to deliver client solutions on time and within budget.
+ Use data analytics and digital technologies to identify opportunities for process improvement and enhanced risk management.
+ Provide thought leadership and guidance on how to transform Financial Crime Programs
+ Develop client proposals and foster long-term relationships with senior executives.
+ Apply design-led thinking to improve customer experiences while ensuring compliance with risk and regulatory standards.
+ Monitor regulatory changes and emerging technologies that impact the financial services industry, advising clients on necessary adjustments to their compliance programs.
+ Champion Accenture's products and initiatives within the finance, risk, and compliance space.
Travel:T ravel as needed based on client expectations.
Basic Qualifications:
+ 5+ years of experience in risk and regulatory compliance within banking, capital markets, or insurance industries, including strong knowledge of financial regulations).
+ 3+ years of management consulting experience focused on risk and regulatory management for financial services clients.
+ Bachelor's degree.
Preferred Qualifications:
+ In-depth knowledge of Financial Crime operating models, regulatory requirements, and compliance standards.
+ Expertise in designing and re-engineering compliance processes including understanding technology vendors in this space
+ Strong project management skills, including engagement leadership, practice development, and client relationship building.
+ Experience with front- and back-office operations within financial services.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ( Location Annual Salary Range
California $94,400 to $93,800
Colorado 94,400 to 253,800
District of Columbia 100,500 to 270,300
Illinois 87,400 to 253,800
Minnesota 94,400 to 253,800
Maryland 94,400 to 253,800
New York/New Jersey 87,400 to 293,800
Washington 100,500 to 270,300
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What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here ( Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 ( , send us an email ( or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.