53 Fraud Analytics Jobs - Page 2

Role & responsibilities In Platform Solutions (PS), we power clients with innovative and customer-cantered financial products. We bring the best qualities of a technology player and combine that with the best attributes of a large bank. PS is comprised of four main businesses, underpinned by engineering operations, and risk management: Transaction Banking, a cash management and payments platform for clients building a corporate treasury system Enterprise Partnerships, consumer financial products that companies embed directly within their ecosystems to better serve their end customers Merchant Point-of-Sale Lending, a platform that provides custom credit financing for home improvement merchants to offer directly to their customers ETF Accelerator, a platform for clients to launch, list and manage exchange-traded funds Seeking a detail oriented and analytical individual to join our team as Card Fraud Transaction Monitoring specialist. This role involves monitoring card transactions to detect and prevent fraudulent activities. Agent will play a key role in safeguarding customers and the business from fraud risks while ensuring compliance with company policies and regulatory requirements. Key responsibilities : Monitor transactions, Fraud Detection, Alert management, collaboration and continuous improvements Attention to detail, Analytical thinking, communication skills, technical skills(MS Excel is a plus), team player and adaptability Preferred candidate profile

About The Role : Entity :- Accenture Strategy & Consulting Title :- Level 9 Ind & Func AI Decision Science Consultant Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accenture's clients. Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Travel:Willingness to travel up to 40% of the time Professional Development Skills:Project Dependent Qualifications Job Qualifications Who we are looking for? 3-5 years of relevant Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: o Banking Fraud, Payment Fraud, Credit Card Fraud, Retail o Fraud, Anti Money Laundering, Financial Crime, Telecom o Fraud, Energy Fraud, Insurance Claims Fraud etc. Advanced skills in development and validation of fraud analytics models, strategies, visualizations. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc. Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects

Title: Senior Internal Fraud Investigator (ATL/TL) Location: Gurgaon, India Type: Hybrid (work from office) Job Description Who We Are: Fareportal is a travel technology company powering a next-generation travel concierge service. Utilizing its innovative technology and company owned and operated global contact centers, Fareportal has built strong industry partnerships providing customers access to over 600 airlines, a million lodgings, and hundreds of car rental companies around the globe. With a portfolio of consumer travel brands including CheapOair and OneTravel, Fareportal enables consumers to book-online, on mobile apps for iOS and Android, by phone, or live chat. Fareportal provides its airline partners with access to a broad customer base that books high-yielding international travel and add-on ancillaries. Fareportal is one of the leading sellers of airline tickets in the United States. We are a progressive company that leverages technology and expertise to deliver optimal solutions for our suppliers, customers, and partners. FAREPORTAL HIGHLIGHTS: Fareportal is the number 1 privately held online travel company in flight volume. Fareportal partners with over 600 airlines, 1 million lodgings, and hundreds of car rental companies worldwide. 2019 annual sales exceeded $5 billion. Fareportal sees over 150 million unique visitors annually to our desktop and mobile sites. Fareportal, with its global workforce of over 2,600 employees, is strategically positioned with 9 offices in 6 countries and headquartered in New York City. Job Description and Responsibilities: Be the lead investigator one or of more cases. Self-manage the investigation from start to end, including compiling a periodic investigation report for senior management. Conduct investigations into suspected fraudulent activities reported by external or internal reporting mechanisms across all functions and departments. Perform a deep and details analysis of any available data, logs, or other information as part of the investigation. Proactively Identify and track down additional sources of data that can be used to help facilitate an investigation. Conduct internal forensic investigations using tools available within the organisation, log analysis, and monitoring systems. Work closely with the Information Security team to track unauthorized data access, phishing incidents, and security control bypasses. Assess risks in the Ops and Tech processes, identifying vulnerabilities in third-party tools like Accertify, etc. Gather and document evidence, prepare detailed investigation reports, and recommend corrective actions. Collaborate with Legal & compliance and Information Security teams as part of a broader fraud mitigation function. Stay updated with emerging fraud trends, regulatory changes, and industry best practices. Ensure that fraud investigation processes align with PCI DSS and ISO 27001 requirements. Monitor alerts for high-risk employees handling sensitive customer data (emails, phone numbers, credit card details). Conduct interviews and communicate with stakeholders as required. Required Skills & Qualifications: Bachelors / masters degree in finance, Accounting, Law, or an information security curriculum 4+ years of experience in fraud investigation, internal audits, or information security. Strong knowledge of fraud analytics, forensic tools, and SIEM solutions. 4+ years of experience as a Lead Fraud/Financial Crimes Investigator or forensic auditing. Familiarity with regulatory compliance requirements (e.g., PCI DSS, ISO 27001, etc). Self-managing able to initiate, run and conclude investigations from start to end. Hands-on experience with Fraud methodologies, best practices, incident handling. Experience with third party tools such as Accertify, Observe IT, etc preferred. Ability to analyze logs, transaction data, and employee behavior for fraud detection. Hands-on experience with fraud detection tools, case management systems, and payment security protocols. Proficiency in data analysis tools, fraud detection software, or investigative techniques. Excellent communication and report-writing skills Ability to handle sensitive and confidential information with integrity. Knowledge of relevant laws, regulations and compliance frameworks Work independently. Preferred Skills & Qualifications: Certification in Fraud examination (CFE) or forensic accounting is preferred. Detail-oriented, ability to consistently provide high-quality products that are concise, thorough and accurate; Work independently Strong attention to detail with an analytical mind and outstanding problem-solving skills. Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Fareportal reserves the right to change the job duties, responsibilities, expectations or requirements posted here at any time at the Company’s sole discretion, with or without notice.

Job Location: Bangalore or Pune We are seeking a highly skilled Data Scientist with expertise in Large Language Models (LLM), Cognitive AI, and Machine Learning to drive innovation in AI-driven solutions. The ideal candidate will have strong Python programming skills and a deep understanding of TensorFlow, PyTorch, NLP, and deep learning frameworks . You will work on cutting-edge AI/ML projects, leveraging generative AI and cognitive computing to build intelligent models that enhance business decision-making, with a strong focus on abuse detection, fraud prevention, and risk management Key Responsibilities: Develop and fine-tune Large Language Models (LLMs) to improve natural language understanding, text generation, and conversational AI. Design and implement cognitive AI models that enhance machine-human interactions and decision automation. Build fraud detection and abuse management models using advanced AI/ML techniques to identify anomalies, behavioral patterns, and security threats. Work with deep learning frameworks like TensorFlow, PyTorch, and Keras to build and optimize AI models. Utilize NLP techniques (tokenization, named entity recognition, sentiment analysis, text summarization) for unstructured data processing. Perform statistical analysis and hypothesis testing to drive data-driven insights. Use Numpy, Pandas, Scikit-learn for data preprocessing, feature engineering, and model evaluation. Deploy AI/ML models using MLOps, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure) . Work with big data technologies such as Spark,Dask, and Hadoop for large-scale data processing. Collaborate with cross-functional teams (engineering,product, and business teams) to integrate AI models into applications. Stay updated with the latest advancements in AI, cognitive computing, fraud detection, and generative models to enhance AI capabilities. Must-Have Skills: Programming: Python (Numpy, Pandas, Scikit-learn), SQL AI/ML Frameworks: TensorFlow, PyTorch, Keras Natural Language Processing (NLP): NLTK, SpaCy, Transformers, Hugging Face Cognitive AI & LLMs: OpenAI GPT, BERT, LLaMA, Bloom, LangChain Abuse & Fraud Detection: Anomaly detection, behavioral analytics, risk scoring models Big Data & Cloud: Spark, Hadoop, AWS/GCP/Azure MLOps & Deployment: Docker, Kubernetes, CI/CD pipelines Mathematical & Statistical Skills: Probability, Linear Algebra, Optimization Deep Learning & Neural Networks: CNN, RNN, Transformers, GANs Good-to-Have Skills: Experience with vector databases (FAISS, Pinecone, Weaviate) for AI search and retrieval. Hands-on experience with AutoML tools like H2O.ai, Google AutoML, or DataRobot. Familiarity with reinforcement learning and multi-agent systems . Exposure to AI ethics, model interpretability, and explainable AI (XAI) . Knowledge of Graph Neural Networks (GNNs) and Knowledge Graphs . Education & Experience: Bachelor's/Masters degree in Computer Science, Data Science, AI/ML, Mathematics, or a related field . 4-7 years of hands-on experience in AI/ML, cognitive computing, and NLP. Why Join Us? Work on cutting-edge AI projects with a team of experts. Opportunity to develop and deploy generative AI models for real-world applications. If you're passionate about cognitive AI, Abuse Management, LLMs, fraud detection, and data science , apply now!

?Minimum Qualification: Graduation ?Experience: 5 - 10 Years ?Location: Bangalore ?Apply Now ?Job Responsibilities ?Conduct field verifications, background checks, and risk assessments for loan applicants. ?Identify, investigate, and document fraud cases across home, personal, and vehicle loans. ?Develop and implement fraud detection strategies and control measures. ?Manage third-party verification agencies and ensure quality compliance. ?Prepare detailed fraud reports and present insights to senior management. ?Key Skills ?Ability to identify emerging fraud trends and apply preventive measures proactively. ?Skilled at designing and refining internal checks to strengthen fraud control frameworks. ?Confident in making judgment calls with limited data in high-stakes scenarios. ?Adapt to working with credit, legal, and operations teams to build a unified fraud risk approach. ?Familiarity with fraud analytics tools, dashboards, and digital verification platforms.

Hiring for fraud investigation for non voice with excellent comms and experience is must, Voice process looking for candidate with min 1 year exp in fraud investigation, AML, Sanctions ,Claims collections Salary:- 7.5 ctc call Rumana@9620536596

Role & responsibilities Should be able to lead/ participate as a team player in conducting - preventive, detective and investigative reviews across different segments of the Bank. Should be a good team player. Should be able to lead/ conduct investigations of WB / Corruption / cases across all products in Payments Bank. Must have relevant experience of minimum 5 years. Conduct discussions and interviews with witnesses/suspects. During the course of review, should help build robust fraud and corruption control mechanisms, identify process lapses/control weaknesses to help plug in control gaps. Should hold polished communication skills, both spoken and written. Should be able to manage internal and external stakeholders, with good liaising skills. Ensure compliance with regulatory guidelines for the reporting requirements to regulators and external agencies. Should hold sound knowledge and good analytical skills for rightly concluding the investigations. Should be able manage end to end proceedings, and ensure closure of action points emanating from various Investigation reports. Assist in keeping relevant processes benchmarked to best practices and peer banks.

Analyze financial transactions and account activity to identify unusual activity to identify unusual or suspicious patterns. * Conducting in-depth investigations into potential fraud cases, which may involve gathering evidence. * Performing 360 Reviews on the Alert which has been triggered due to violation of threshold set for the systems for Fraud types (i.e.- ATO, PTO, TOA, ID Theft, ATO Scam, First Party Frauds etc.) * Conduct 360 fraud reviews for the customers profiles and responsible for detecting and mitigating core banking, payments, fraud, and account opening red flags. Implemented solutions to fraud problems across ATO’s, P2P Payments, ACH kiting, check kiting, and wire fraud * Multiple investigations into whistle blower complaints concerning account hijacking, transactional frauds, funds transfer return, checks (RDC, Thea) or ACH transactions that provided real time decisions on credit card, loan, and Zelle fraud red flags * Combined retroactive analysis with current state fraud control assessments to implement technology and process framework that provided real time decisions on fraud strategy and overall fraud assessment * Liaison with internal and external counterparts to perform end-to-end alert reviews (360 review) from fraud alert generation through to SAR filing. * Analyze data trends and out of pattern activities to assimilate the next course of action (Case closure, Reimbursements, or escalation) * Adjudicate the fraud type and apply relevant mitigation steps basis policies and procedures Required Skills SAR AML INVESTIGATIONS FINANCIAL CRIME FRAUD INVESTIGATIONS

Job description Job description Hiring for KYC / Banking sector / International Process / Sal-5 ctc Immediate Joining Min 1 year experience is mandatory Work from office Virtual Interview Candidates should be residing in Bangalore International banking Job Description Requires ability to work to high standards of quality in performing corporate renewal reviews of Know Your Customer (KYC) due diligence Understand client policy and procedures and how to apply Understanding information documentation requirements for corporate structures in KYC context/ evidence requirements In depth knowledge of corporate structures i.e. privately owned or public companies, trusts and partnerships Proactive review and follow-up on referrals and queries Ability to determine needs for escalation to Subject Matter Coach (SMC)/Subject Matter Expert (SME) or to client Manage caseload throughout end to end process in timely manner Monitor actual performance to plan and make decisions to ensure business objectives are maintained Source data from a number of sources/systems and accurately transfer to primary system call mayur@9343402211 call hr pooja@9886112704

You will be responsible for designing and developing new components of the Claim Search product as well as enhancing existing features You will develop for our fully cloud environment across very large data sets and gain experience on a diverse set of technology tools with exposure to backend data processing, large entity resolution algorithms, data matching, search, APIs, integrations and front-end development Our headquarters are in Jersey City, New Jersey, and the Anti-Fraud Analytics team is spread across countries

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Hiring for fraud investigation for non voice with excellent commas and experience is must, non voice process, looking for candidate with min 1 year exp in fraud investigation, AML, Sanctions Salary:- 7.5 ctc if interested call Sania- 7259309098

Ready to shape the future of work? At Genpact, we don't just adapt to change we drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team thats shaping the future, this is your moment Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook. Inviting applications for the role of Process Associate, Wealth Management The objectives of this Genpact operations unit must tie into the overall aims of business. The group seeks to provide a high standard of service for business. The positions operate in a dynamic environment and are well suited to those with strong processing skills and a positive, can do” attitude. The candidate must be willing to work flexible and varying shifts through the year and must react positively, patiently and effectively to calls/emails seeking clarifications, have a customer centric approach in problem solving. You will work for end Customers to enable them to manage their Super account – Opening account, applying contributions, processing withdrawals, maintenance of accounts and reconcile the account. Responsibilities • To be able to work well on requests sent by the channels • To be quick and detailed in interpreting the request of the customer • Work well in the current frame of things & ability to escalate when required • Should have a customer focused approach & Attention to detail • Good Communication and interpersonal skills required • Relationship management ability with internal customers Qualifications Minimum qualifications • B. Com Graduate Preferred qualifications • Quick Learner & Ambitious • Good Excel Skills Why join Genpact? Be a transformation leader Work at the cutting edge of AI, automation, and digital innovation Make an impact Drive change for global enterprises and solve business challenges that matter Accelerate your career Get hands-on experience, mentorship, and continuous learning opportunities Work with the best Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Lets build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

RESPONSIBILITIES: Manage knowledge and transition from the current teams into dedicated Financial Crime technology support teams, including SLA/OLA identification, Data Quality (DQ) analysis, and detailed activity level documentation. Enhance and maintain the data collation and reporting processes and applications to ensure accurate and timely availability of data for decision-making processes. Develop and enforce data governance policies and procedures to ensure data integrity, security, and compliance with regulatory requirements. Collaborate with various teams and functions to understand their data processes and needs, and provide guidance and support in establishing efficient data collection, storage, and retrieval processes. Monitor and analyze the performance of the current state processes to identify areas for improvement, implement upgrades, and troubleshoot any issues to minimize downtime. Conduct regular data audits to identify and resolve data quality issues, ensuring the accuracy and reliability of data used for reporting and analysis. Support end-users with current processes, providing guidance on data entry, extraction, and interpretation. Prepare and present reports and analyses to support strategic decision-making processes. SKILLS: 5-7 years of BAU/support management experience. Background in BAU management with KYC, Transaction Monitoring, and/or similar regulated processes. Understanding of E2E BAU lifecycle management for IT Application Services. Knowledge and experience in managing reporting applications and proficient in data management. Excellent problem-solving and troubleshooting skills to identify and resolve system issues. Excellent verbal and written communication skills to effectively interact with stakeholders at various levels. Strong analytical and critical thinking abilities to interpret complex data and provide insights. Ability to work collaboratively with cross-functional teams to understand their business needs and translate them into technology solutions. Detail-oriented with a focus on data accuracy and integrity.

Detect, analyze & prevent fraudulent activities; monitor transactions; assist in investigations; maintain fraud detection systems Monitor transactions & activities to identify potential fraud pattern Fraud investigation for Credit Cards & Debit Cards Required Candidate profile Graduate with 2-3 years of Exp in Fraud Detection, Fraud Investigation Proficient in Excel, Data Analysis Tools & Fraud Monitoring Systems Excellent Communication Skills info.aspiringmantra@gmail.com

Job Description: Fraud Analyst Position: Fraud Analyst Department: Risk Management / Compliance Reports To: Fraud Prevention Manager / Risk Manager Job Summary: The Fraud Analyst is responsible for identifying, investigating, and mitigating fraudulent activities across the organization. This role involves analyzing transaction data, monitoring accounts for suspicious behavior, and working closely with other departments to ensure the integrity and security of company assets. The ideal candidate will have strong analytical skills, a keen attention to detail, and experience in fraud detection and prevention. Key Responsibilities: Fraud Detection & Prevention: Monitor transactions and accounts for unusual or suspicious activities. Identify and analyze potential fraud patterns using data analysis tools and techniques. Implement fraud detection tools and maintain the fraud monitoring systems. Respond to alerts and investigate cases of suspected fraud. Investigation & Reporting: Conduct thorough investigations into suspicious transactions or activities. Gather and analyze evidence to support fraud detection and prevention efforts. Document findings and prepare detailed reports on fraudulent activities for management or law enforcement. Maintain an up-to-date record of fraud cases and investigations. Collaboration & Communication: Collaborate with cross-functional teams, such as customer service, compliance, and IT, to address and prevent fraud. Work closely with legal teams in cases that require external action or reporting. Communicate findings and recommendations effectively to senior management. Risk Mitigation: Assist in the development of strategies and protocols to prevent and mitigate fraud risks. Recommend and help implement process improvements and fraud detection mechanisms. Stay updated on the latest fraud trends, emerging threats, and industry best practices. Regulatory Compliance: Ensure that fraud detection practices comply with industry standards, regulations, and legal requirements. Stay informed of relevant laws and regulations related to fraud prevention, privacy, and data protection. Continuous Improvement: Continuously analyze and assess fraud detection tools and practices for effectiveness. Suggest improvements to fraud risk management strategies based on industry trends and case studies. Qualifications & Skills: Education: Bachelors degree in Business, Finance, Criminal Justice, or a related field (or equivalent work experience). Experience: 1+ years of experience in fraud analysis, risk management, or a related field. Experience with fraud detection software and data analytics tools is preferred. Skills: Strong analytical and investigative skills. Attention to detail with the ability to identify anomalies in data. Familiarity with fraud detection systems and risk management software. Knowledge of relevant legal and regulatory requirements (e.g., GDPR, PCI DSS). Strong communication skills (both written and verbal). Ability to work independently and handle multiple tasks simultaneously. Preferred Qualifications: Experience in the finance, banking, or e-commerce industries. Certification in fraud prevention or risk management (e.g., CFE, CRP) is a plus. Familiarity with machine learning or AI-based fraud detection systems is a bonus. Working Conditions: Full-time position; Rotational Shift work depending on business needs. Salary will be based on experience. US shifts. 5 Days working, 2 Days off. Immediate joiners preferred. Interview Process : HR Round: Focuses on evaluating cultural fit, communication skills, and basic qualifications. Expect questions about your background, motivation, and career goals. Assessment: Tests your technical abilities, including data analysis, fraud detection, and problem-solving. You may be given a case study or real-life scenarios to solve. Operations Round: Assesses your practical knowledge of fraud detection and operational processes. Youll be evaluated on how you handle fraud cases and collaborate with cross-functional teams. Client Round: Focuses on your ability to communicate fraud-related information to clients. You'll be evaluated on client handling, explaining complex issues, and maintaining professionalism. How to Apply : Interested candidates can contact HR, Zulfi , on 9945093145 . Please send your updated resumes to Zulfi.Bmm@firstsource.com. Shortlisted candidates will hear from us as quickly as possible. We look forward to receiving your applications and potentially having you join our dynamic team! Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Key Responsibilities: Respond to cases generated by the Fraud Management System (FMS) and investigate suspicious activities. Address internal and external information requests within agreed service levels and escalate issues where necessary. Analyze data to identify emerging fraud trends, patterns, and threats. Support fraud awareness training across departments and stay updated on industry trends. Review internal processes to ensure they remain effective against evolving fraud tactics. Work rotational shifts, including evenings and weekends, to ensure continuous support for business needs. Key Skills & Experience: 2+ years of experience in fraud investigation , preferably within the communications industry. Strong knowledge of fraud prevention strategies and Sky's products and services. Ability to work under pressure, meet deadlines, and ensure accuracy in real-time decisions. Proactive, self-motivated, and proficient in Microsoft Office with a keen interest in process improvement. Strong attention to detail and a clear investigative mindset to identify root causes of fraud. High personal integrity and professionalism when dealing with sensitive information. Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses. Additional Information: Rotational shifts and weekends off . Salary up to 5 LPA. CARRY 2 CV PRINTS WITH "HR MANSI" ON IT. CONTACT DETAILS- HR MANSI - 9008962148CARRY 2 CV PRINTS WITH "HR MANSI" ON IT.

Entity :- Accenture Strategy & Consulting Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. Qualifications What you would do in this role Engagement Execution Lead client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accentures clients. Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable Practice Enablement Mentor, groom and counsel analysts and consultants. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Travel:Willingness to travel up to 40% of the time Professional Development Skills:Project Dependent Who we are looking for? 7+ years of relevant Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Banking Fraud, Payment Fraud, Credit Card Fraud, Retail Fraud, Anti Money Laundering, Financial Crime, Telecom Fraud, Energy Fraud, Insurance Claims Fraud etc. Advanced skills in development and validation of fraud analytics models, strategies, visualizations. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc. Proven experience in one of data engineering, data governance, data science roles Experience in Generative AI or Central / Supervisory banking is a plus. Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects

Dear Candidate, We are hiring for Fraud Analyst Bengaluru Location. Any graduate can apply (To Confirm Please Drop a Whatsapp or call on 9821610745 Anjali ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9821610745 Anjali ) Fraud Associate Band 3 What you will do: Recognise and respond to cases generated by the Fraud Management System (FMS) for unusual or suspicious activity in relation to application and usage screening to prevent abuse and loss of revenue across multiple Sky products Ensure that requests for information from internal and external departments are dealt with in accordance with agreed service levels, highlighting risks and issues to a Supervisor where appropriate Analyse data, information and Intelligence to identify new trends and patterns pertaining to known or new fraud threats within departmental guidelines Assist as necessary in the provision of fraud training and awareness to other business areas Keep abreast of changes in fraud trends, new products and services; conduct reviews or update internal processes to stay current and understand any implications to fraud processes Work rotational shift patterns 7 days per week, including evenings and weekends, to ensure appropriate coverage to support current and new business needs across all products and services Key Skills & Experience Include: Understanding or knowledge of Skys products and services alongside an awareness of current and possible future business trends, as well as their potential impact on the company A high level of personal integrity, confidentiality, and professionalism. You will conduct yourself in a collaborative, confident and professional manner when dealing with the business, industry and stakeholders, and when representing the business, whilst working with sensitive information The ability to work under pressure whilst ensuring accuracy and meeting tight deadlines, particularly with real-time decision-making requirements Proactive and self-motivated, proficient in standard Microsoft Office and experience in learning custom IT software, with a desire for continuous improvement Investigative ability, with strong attention to detail and a clear desire to understand root cause and explore opprotunities to improve process and detection within the fraud function. Experience and knowledge from the communications industry with awareness of fraud prevention strategies would be a desirable quality. (To Confirm Please Drop a Whatsapp or call on 9821610745 Anjali ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9821610745 Anjali ) Regards SPARK CONSULTANCY

Job Summary: Analyze financial transactions and account activity to detect unusual or suspicious patterns. Conduct in-depth investigations into potential fraud, including gathering and evaluating evidence. Perform comprehensive 360 fraud reviews triggered by system threshold violations for various fraud types (ATO, PTO, TOA, ID Theft, First Party Fraud, etc.). Detect and mitigate fraud in core banking, payments, and account opening; address issues like ATO, P2P fraud, ACH/check kiting, and wire fraud. Investigate whistleblower complaints involving account hijacking, transactional fraud, and suspicious fund transfers. Combine retrospective analysis with current fraud control assessments to implement real-time fraud strategies. Coordinate with internal and external stakeholders for full alert lifecycle reviews, including SAR filings. Analyze data trends to recommend next steps: closure, reimbursement, or escalation. Classify fraud types and apply appropriate mitigation per policies and procedures. Qualifications: Experience in fraud detection, investigations, and transaction monitoring. Strong research, analytical, and decision-making skills. Proficiency in MS Office; familiar with financial systems. Attention to detail in maintaining case records and ensuring legal compliance. Education: Bachelors in Commerce, Computer Science, or equivalent (preferred). Master’s/MBA (preferred). Certifications (Preferred): CFE, CAMS, CRP Location: Hyderabad / Bangalore

Roles and Responsibilities Develop credit risk or fraud risk models using Python, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 5+ years of experience in Credit Risk Modelling/ Fraud Modeling or related field. Strong expertise in PD, LGD Model Development ,Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS/SQL; strong understanding of machine learning algorithms an added advantage.

Role & responsibilities A Fraud Strategist focuses on defining the overall fraud prevention framework, policies, and strategies. Instead of building models, they use insights from data scientists to develop rules and strategies for approving or declining transactions. Key Responsibilities: Create fraud detection strategies based on insights from fraud models. Define policies to minimize fraud while maintaining a good customer experience. Decide on approval or decline criteria for transactions based on risk scores. Work closely with Data Scientists to improve fraud detection models. Defines fraud prevention policies Rule-based decision-making Decision Engines, Risk Frameworks Approves or declines transactions

Hiring Fraud Analyst for India's Leading ITES Company A fraud analyst must possess strong analytical skills to identify patterns, trends, and anomalies in data that may indicate fraudulent activity. Attention to detail is crucial for a fraud analyst to spot discrepancies and inconsistencies in financial records or transactions. Effective communication skills are essential for a fraud analyst to collaborate with other team members, report findings to management, and communicate with external stakeholders. Fraud analysts must be able to think critically and creatively to solve complex problems and identify solutions to prevent and detect fraud. A strong understanding of fraud detection techniques, tools, and technologies is essential for a fraud analyst to effectively identify and prevent fraudulent activity. Fraud analysts must have a good understanding of regulatory requirements and compliance standards related to fraud prevention and detection. Proficiency in using data, software, and systems is important for a fraud analyst to effectively analyze and interpret data to detect fraudulent activity. You may be assessed on key essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Gurgaon Purpose of the role To support business areas with day-to-day processing, reviewing, reporting, trading and issue resolution. Accountabilities Support various business areas with day-to-day initiatives including processing, reviewing, reporting, trading, and issue resolution. Collaboration with teams across the bank to align and integrate operational processes. Identification of areas for improvement and providing recommendations in operational processes. Development and implementation of operational procedures and controls to mitigate risks and maintain operational efficiency. Development of reports and presentations on operational performance and communicate findings to internal senior stakeholders. Identification of industry trends and developments to implement best practice in banking operations. Participation in projects and initiatives to improve operational efficiency and effectiveness. Analyst Expectations. To meet the needs of stakeholders/ customers through operational excellence and customer service. Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of team members. Identify escalation of policy breaches as required. Take responsibility for customer service and operational execution tasks. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Gain and maintain an understanding of own role, how the team integrates to achieve overall objectives, alongside knowledge of the work of other teams within the function. Work within well-defined procedures that may involve a variety of work routines. Demonstrate an understanding of the procedures. Evaluate and select the appropriate alternatives from defined options. Make judgements based on the analysis of factual information. Build relationships with stakeholders and customers to identify and address their needs, in support of a smooth operating process, handling sensitive issues as required. Eligible candidates can connect with me : 6395331676, 7290845078

Roles and Responsibilities: • Design, develop, and deploy machine learning models to detect and prevent fraudulent activities, such as Merchant Fraud, transactional fraud, account takeover, and identity theft • Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity • Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud). • Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures. • Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies. Skills Required: • Bachelor's degree in engineering, technology, computer science or related field. • 3+ years of proven data analytics experience in fraud prevention, risk management, or a related field • Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance. • Strong experience in developing Machine Learning models, Python and SQL. • Excellent communication and presentation skills with the ability to convey complex information clearly and concisely. • Detail-oriented with a proactive mindset toward problem-solving and risk mitigation. • Ability to work collaboratively in a cross-functional team environment.

Role & responsibilities The Senior Data Analyst will be tasked with the following: Collaborate with the enforcement team to access and understand the data available for analysis. Clean and integrate relevant data into analytical tools for data mining and trend analysis to identify patterns, trends, and risks. Develop risk scoring and prioritization criteria based on traffic volumes, content availability, time to takedown, and other factors important to our clients. Curate prioritized lists of targets worth investigating based on the analysis and explain the rationale behind each selected target. Collaborate with the investigations team to review and refine target lists. Continuously improve data analytics processes and methodologies to enhance efficiency and effectiveness. Preferred candidate profile The Special Investigations team is currently based in Brazil and the USA. Due to the time difference, the ideal candidate will be independent, proactive, and capable of working with minimal supervision. They are expected to be flexible to attend meetings during evening hours in India. More specifically, the Senior Data Analyst will thrive if they have the following qualifications and experience: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Minimum of 5 years of experience in data analytics, of which at least 2 years in anti-piracy. Demonstrated experience in building and executing new processes. Proficient in data cleaning, data mining, trend analysis, and risk scoring using analytical tools such as Power BI, Tableau, and advanced Excel functions. Technical skills like programming languages (Python, R) or database management (SQL) are a plus. Demonstrated ability to hit the ground running and take ownership, driving projects forward with minimal guidance. Excellent written and verbal communication skills in English. Resourceful problem-solving skills and an innate attention to detail. A passion for intellectual property protection and a strong ethical compass. This position is exclusively available at our New Delhi office.