114 Fraud Analytics Jobs

We are seeking an analytical professional for the Banking Analytics role. You will be responsible for leveraging your expertise in SQL and Python, coupled with strong banking exposure, to understand client requirements and develop impactful solutions. This role requires a good understanding of banking scorecards and products, with a preference for experience in model development and strategy. Roles & Responsibility: Possess strong proficiency in SQL & Python . Demonstrate significant Banking Exposure . Exhibit a good understanding of banking scorecards and products , including application, behavioral, and fraud aspects. Experience in model development and strategy is preferred. Should be able to understand client requirements thoroughly and come up with effective solutions, such as developing models and devising strategies. Possess superior verbal and written communications skills with extreme attention-to-detail, enabling clear communication of complex analytical insights. Skills Required: Proficient in SQL . Proficient in Python . Strong analytical and problem-solving skills. Ability to translate business requirements into analytical solutions. Excellent communication skills (verbal and written). Detail-oriented approach to data analysis and reporting. QUALIFICATION: Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.

Job Summary :- The Fraud Data Analytics & Market Intelligence Unit is a strategic role responsible for overseeing the development, implementation, and management of advanced analytics to detect, prevent, and mitigate fraud. This role also involves leveraging market intelligence to provide insights into emerging fraud trends, competitive threats, and industry developments to safeguard the organizations reputation and assets. Key Responsibilities :- Wider experience in fraud analytics at a Bank – Liabilities (Mule) / Payments / Assets (Cards) Exposure to India Fraud domains – Mule, Transactional Frauds, Account takeovers, Scams, Application & Identity Frauds – experience having implemented fraud detection solutions based on ML/AI Able to deal with internal as well as external stakeholders independently including regulator 1. Fraud Analytics Develop Fraud Detection Models: Design and deploy predictive analytics models and machine learning algorithms to identify suspicious activities and patterns. Enhance Systems: Continuously optimize fraud monitoring systems to improve detection accuracy and reduce false positives. Data-Driven Insights: Analyze internal and external data sources to identify vulnerabilities and recommend proactive measures. Performance Metrics: Define and track key performance indicators (KPIs) to measure the effectiveness of fraud detection strategies. 2. Market Intelligence Industry Monitoring: Stay updated on emerging fraud tactics, industry benchmarks, and regulatory changes. Competitor Analysis: Analyze competitors’ risk management strategies to identify opportunities for improvement. Market Trends: Provide actionable insights from market intelligence to inform strategic decision-making. 3. Team Leadership Build and Lead: Recruit, develop, and mentor a high-performing team of data analysts, data scientists, and market intelligence specialists. Stakeholder Collaboration: Work closely with risk management, compliance, IT, and other departments to ensure alignment and effective communication. Training: Educate staff and leadership on emerging fraud trends and best practices. 4. Strategic Planning Policy Development: Establish and enforce fraud prevention policies, procedures, and standards. Technology Partnerships: Evaluate and recommend advanced fraud detection technologies and vendors. Reporting: Present findings and strategic recommendations to senior leadership and the board.

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. As a C12 (Individual Contributor) AVP within the Retail Bank Fraud Analytics team in Citi AIM, your primary focus will be on analyzing transaction data to understand fraud patterns and develop strategies to mitigate fraud losses while minimizing customer impact. You will monitor strategy performance, collaborate with the implementation team, and proactively suggest fraud loss mitigation measures using new data sources and advanced analytics techniques. You will be expected to perform hands-on analysis on a regular and ad hoc basis, extract various data sources beyond transactions, generate fraud risk insights, recommend business solutions, and optimize existing rules for improved performance. Your role will require a holistic understanding of retail banking products, best practices, and the integration of analytical thinking with business knowledge to develop client-centric solutions. Ideally, you should have experience in analytics within the BFSI domain, proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling. Proficiency in decision tree models (CHAID/CART), Logistic Regression, exploratory data analysis, SAS, SQL, Hive, Impala, and Excel is essential. Knowledge of Python, prior experience in Fraud Analytics, and familiarity with Tableau or other data visualization tools are desirable. You should also have experience in stakeholder management across functions and regions, translating data into consumer insights, and effectively communicating findings to business partners and senior leaders. Your role will involve delivering clear presentations, managing projects, supporting regulatory/audit activities, and collaborating with stakeholders to drive targeting and segmentation strategies. You should possess excellent communication skills, project and process management capabilities, and the ability to work both independently and within a team environment. Qualifications: - 8+ years of analytics experience, with prior experience in Fraud analytics preferred - Advanced analytical and business strategy skills - Effective communication skills, including the ability to present to business partners and leaders - Project and process management skills - Excellent written and verbal communication skills - Experience in financial services analytics - Strong organizational skills and ability to manage multiple projects simultaneously Education: - Bachelors/University degree or equivalent experience; Masters degree preferred If you require a reasonable accommodation due to a disability for using our search tools or applying for a career opportunity, please review the Accessibility at Citi information. For more details, view Citi's EEO Policy Statement and the Know Your Rights poster.,

Hiring for AML/ Fraud/Dispute Location: Malad Designation: CSE graduation with 1 year in AML & KYC International UK process 5 days working Writtex : Cerf B2 CTC : 5 LPA Up To Backed process HR Aditi

Role Summary We are seeking a strategic and hands-on Senior Manager to lead our Fraud Strategy function. This person will own the development and performance of fraud models and scorecards, work closely with cross-functional partners to define fraud policies, and ensure effective collaboration with our fraud operations team. The ideal candidate combines strong analytical skills, a solid understanding of fraud typologies in consumer lending, and a pragmatic approach to implementation. Key Responsibilities Lead fraud strategy for the lending portfolio, balancing risk mitigation with customer experience and approval rates Develop and maintain fraud detection models and anomaly detection systems using internal and third-party data. Manage fraud scorecard performance and recommend model improvements or policy changes as needed. Collaborate with fraud operations to monitor real-time fraud trends and adapt policies dynamically. Partner with product, data engineering, and external vendors to evolve fraud detection infrastructure. Provide regular fraud performance reporting and deep-dives for senior leadership. Act as subject matter expert on fraud data, model outputs, and cross-channel vulnerabilities. Qualifications 5-8 years of experience in fraud strategy, analytics, or credit risk in financial services or fintech. Strong understanding of identity fraud, synthetic fraud, first-party fraud, and third-party fraud patterns. Hands-on experience with fraud models, machine learning tools, and scorecard management. Advanced proficiency in SQL and Python for data analysis and modeling. Experience working with third-party fraud data providers and integrating fraud rules or signals into decision engines. Ability to communicate insights and recommendations clearly to technical and non-technical stakeholders. Exposure to US consumer lending regulations and risk management practices preferred.

You should have experience in BI Product Development, specifically with Apache Superset. Hands-on experience with other BI tools like Power BI or Tableau is acceptable if you have strong project-based BI development exposure. It is essential that you have worked on multiple BI projects end-to-end. Advanced proficiency in Python and SQL is a must. You should have used Python for product development or in complex analytics projects. Additionally, you must demonstrate advanced SQL knowledge, such as optimizing queries, working with large datasets, and utilizing stored procedures. Be prepared to provide specific use cases where your Python and SQL expertise was critical. You should have hands-on experience in advanced analytics, including Fraud Analytics, Prediction/Forecasting models, and statistical or machine learning techniques. Familiarity with Pandas, NumPy, Scikit-learn, or similar Python libraries is a plus. Experience in client management is necessary, as you will be expected to manage BI projects for external or internal clients. You should be capable of understanding client requirements, presenting solutions, and effectively managing delivery timelines and stakeholder expectations.,

Realize your potential by joining the leading performance-driven advertising company! As a Fraud Analyst on the Anti-Fraud Team in our Gurgaon Office , youll play a vital role in safeguarding our advertising ecosystem by detecting, analyzing, and preventing fraudulent activities. You’ll help ensure trust, transparency, and integrity across Taboola’s global platform. If you’re passionate about fighting online fraud and love digging into data to find the hidden stories, this role is for you. To thrive in this role, you'll need: Bachelor's degree in Industrial Engineering, Computer Science, Data Science, Business, or a related field. 1+ years of experience in fraud detection, online risk analysis, or related domains. Strong analytical and problem-solving skills with a keen eye for data anomalies. Proficiency in data analysis tools and methodologies. Ability to work independently and collaborate across diverse teams. Bonus points if you have: A basic understanding of the adtech or digital advertising ecosystem. Experience with fraud detection platforms or related technologies. How you’ll make an impact: As a Fraud Analyst , you’ll bring value by: Monitoring traffic data to identify suspicious patterns and potential fraud. Utilizing fraud detection tools to flag fraudulent traffic, clicks, and behavior. Conducting in-depth investigations to uncover sources and methods of fraud. Analyzing data to improve fraud prevention strategies and algorithms. Collaborating with engineering and product teams to implement solutions. Preparing clear reports to communicate findings, trends, and recommended actions. Why Taboola? If you ask Taboolars what they love about working here, they’ll tell you they’ve been empowered to realize their full potential while growing and learning from smart and talented colleagues. They’ll also share more about: Well-being: Enjoy comprehensive benefits, including health coverage, fully stocked kitchen. Flexibility: We offer a hybrid work schedule – 3 days in the office with the option to come in more if you’d like. Work with the best: Partner with global brands like Yahoo, NBCU, Conde Nast, and Wells Fargo. Unmatched culture: As our CEO Adam Singolda says: “You can copy anything from another business but you can’t copy a company’s culture.” Ready to realize your potential? Taboola is an equal opportunity employer and values diversity in all its forms. We are committed to creating an inclusive environment for all employees and believe this is critical for success. Employment decisions are based on qualifications, merit, and business needs. Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X (Twitter), YouTube, and the Taboola Life Blog. About Taboola Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social to deliver measurable outcomes at scale. Our ad platform, Realize , reaches approximately 600M daily active users across some of the world’s top publishers including NBC News, Yahoo, and Samsung. #LI-ST1 #LI-Hybrid

Job description Profile -: Senior Associate ( Anti money laundering ) Languages req: Excellent English communication Requirement -: Good Communication Skills Exp-: 3- 6 yrs Shifts: Rotational , Salary : 7.5L fixed + Inc Location : Bangalore Job Overview: The AML Analyst/Officer/Investigator is responsible for supporting the company's efforts in detecting, preventing, and reporting money laundering activities. The role involves monitoring transactions, investigating suspicious activities, ensuring compliance with relevant laws and regulations, and preparing reports for regulatory bodies and senior management. Key Responsibilities: Transaction Monitoring: Monitor daily transactions for signs of suspicious activity, including large or unusual transactions, patterns of behavior, and activities that do not align with customer profiles. Analyze transaction data and review alerts generated by AML monitoring systems. Investigations and Due Diligence: Investigate suspicious activities, performing in-depth research using internal databases and external sources to gather relevant information. Conduct Know Your Customer (KYC) checks and Enhanced Due Diligence (EDD) on high-risk clients to verify their identity and assess potential risks. Follow up on red flags and escalate cases when necessary. Regulatory Compliance: Ensure compliance with anti-money laundering laws and regulations (such as the Bank Secrecy Act, FATF guidelines, and local regulatory requirements). Prepare and file Suspicious Activity Reports (SARs) and Currency Transaction Reports (CTRs) to relevant authorities in a timely manner. Stay up-to-date with regulatory changes and ensure policies are updated accordingly. Reporting and Documentation: Prepare and submit regular reports on AML activities, suspicious transactions, and investigations to management. Maintain accurate and thorough documentation of all investigations and actions taken. Training and Awareness: Assist in the development and delivery of AML training programs for staff, ensuring awareness of policies and procedures. Promote an AML culture within the organization and provide guidance to other employees on identifying and reporting suspicious activity. Collaboration with Teams: Work closely with the compliance, legal, risk, and operations teams to ensure a coordinated approach to AML efforts. Collaborate with external law enforcement agencies or regulators when necessary. Risk Management: Help identify, assess, and mitigate AML risks across the organization. Participate in risk assessments and internal audits to strengthen the institutions AML program. Qualifications: Education: Bachelors degree in finance, accounting, business, or a related field. Experience: 1-3 years of experience in an AML, compliance, or financial crime-related role (for Analyst roles). 3-5+ years of experience (for Officer/Investigator roles). Familiarity with AML regulations and financial services industry practices. Knowledge of financial crime typologies and techniques used by criminals to launder money. Certifications: AML certification such as CAMS (Certified Anti-Money Laundering Specialist) or similar is preferred. Other relevant certifications may be beneficial (e.g., CFE Certified Fraud Examiner, ICA International Compliance Association). Job Type: Full-time Qualification :Higher Secondary(12th Pass) / Any graduates (Note: All the rounds are Held through telephonic) Email : careers@glympsehr.com NOTE: - Please call or whatsapp Manya @6364863742 / 9606523804 / 9606521172 and schedule your telephonic interviews !! !!!Thanks & Regards HR TEAM!!!

The Senior Statistical Data Analyst is responsible for designing unique analytic approaches to detect, assess, and recommend the optimal customer treatment to reduce frictions and enhance experience while properly managing fraud risk with data driven and statistical methods. You will analyze large amounts of account and transaction data to build customer level insights to derive the recommendations and methods to reduce friction and enhance experience on fund availability, transaction/fund hold time and more, and models while managing the customer experience. This role requires critical thinking and analytical savviness to work in a fast-paced environment but can be a rewarding opportunity to help bring a great banking experience and empower the customers to achieve their financial goals. Responsibilities: Analyze large amounts of data/transactions to derive business insights and create innovative solutions/models/strategies. Aggregate and analyze internal and external risk datasets to understand performance of fraud risk at customer level. Analyze customer's banking/transaction behaviors, and be able to build predictive models (simple ones like logistic regression, linear regression) to predict churns or negative outcomes or running correlation analysis to understand the correlation. Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behaviorals, and value. Conduct analysis for data driven recommendations with reporting dashboard to optimize customer treatment regarding friction reduction and fund availability across the entire banking journey. Skillset: Analytics professional preferably with experience in Fraud analytics . Minimum 2 years of experiencein relevant domain - Data Analysis and building models/strategies. Strong knowledge and working experience in SQL and Python is a must. Experience analyzing data with statistical approaches with python (e.g. in Jupyter notebook): for example, clustering analysis, decision trees, linear regression, logistic regression, correlation analysis Knowledge of Tableau and BI tools Hands-on use of AWS (e.g. S3, EC2, EMR, Athena, SageMaker and more) is a plus Strong communication and interpersonal skills Strong knowledge of financial products , including debit cards, credit cards, lending products, and deposit accounts is a plus. Experience working at a FinTech or start-up is a plus. Notice period : Max 60 days. immediate joiners preferred. Education: Bachelors or Masters in Quantitative field such as Economics, Statistics, Mathematics BTech/MTech/MBA from Tier 1 colleges (IIT, NIT, IIM)

Job Role: - Candidate should know end to end working and functioning of payment products viz. IMPS, UPI, RTGS, NEFT and cards and have demonstrated building analytics driven solutions to prevent frauds - Knowledge of Fraud management platforms is preferred - Responsible to Review Fraud trends across Digital and Cards payments and Implement Rules to detect and prevent frauds - Working knowledge of rule writing in FRMs like Falcon and Clari5 is required - Candidate has demonstrated experience in building credit risk models for Credit Cards using various Statistical models and Machine Learning models - Coding knowledge on Hadoop environment is added advantage - Should be able to work in minimum supervision Skills required: Building predictive Models/Machine Learning models and managing big data using Python and SAS is must. Education : M Tech/B Tech/Statistics degree is mandatory Location: Mumbai Presentation: Good written and verbal communication skills Prior experience in Analytics with BFSI for 2-3 years is a must Hands -on experience on following methods and techniques is required as role involves working with both structure and unstructured data Network Analysis(Graph theory) Link Analysis ( Market Basket/Sequence Analysis) Text mining & NLP Regressions ( eg. Logistic ) Classification methods (Decision Tree, Neural Networks, KNN, SVM) Anomaly detection methods

Hiring KYC Profile, required excellent English with a minimum exp of 1 Year in the International KYC process. Rotation shift, 2 Rotation week off, Both ways cabs available. Non-voice process immediate joining Online interview only * Required Candidate profile Should have International KYC Process experience / FATCA Graduation is Must Salary up to 5.5 LPA call Khushi-9811121475 Sukriti -8176976655 Palak-8115955507 Riya-8176074455 Arjuna-9810615875 *

Hiring AML with Transaction Monitoring requires excellent English with a minimum of 1 year of experience in the AML process. Rotation shift, 2 Rotation week off, Both ways cabs available. Non-voice process immediate joining Chennai Candidates * Required Candidate profile Should have AML with Transaction Monitoring Process experience Call us to line up your interview Khushi-9811121475 Sukriti -8176976655 Palak-8115955507 Riya-8176074455 Arjuna-9810615875 *

About KPMG in India KPMG entities in India are professional services firms affiliated with KPMG International Limited. Established in August 1993, KPMG leverages a global network of firms while remaining knowledgeable about local laws, regulations, markets, and competition. With offices in multiple cities across India, including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, KPMG offers services to national and international clients across various sectors. The firm strives to deliver rapid, performance-based, industry-focused, and technology-enabled services that demonstrate a deep understanding of both global and local industries and the Indian business environment. Job Title: Business Analyst Fraud Analytics & Intelligence Systems (Banking Domain) Location: Hyderabad (Onsite) Duration: Not defined Experience Required: 3-6 years Number of Positions: 2 Start Date: Immediate Role Overview: We are seeking experienced Business Analysts to assist in implementing fraud analytics and market intelligence systems within the banking sector. The Business Analysts will play a crucial functional role in the end-to-end implementation of a solution akin to Early Warning Systems (EWS), AML Transaction Monitoring, or Fraud Risk Management platforms. Key Responsibilities: - Lead the preparation of the Business Requirements Document (BRD) in collaboration with stakeholders. - Conduct gap analysis, process mapping, and fraud risk scenario modeling. - Ensure accurate data mapping from internal banking systems (e.g., CBS, Trade Finance, Treasury) and validate data quality. - Collaborate with technical teams and data scientists to support model validation, risk scoring logic, and fraud detection workflows. - Define and execute User Acceptance Testing (UAT) scenarios and test cases. - Coordinate with vendors and internal teams to ensure seamless integration with external data sources (e.g., MCA, CRILC, credit bureaus, media aggregators). - Support the creation of dashboards and reports for Market Intelligence and Fraud Monitoring. Required Skills & Experience: - 4-6 years of experience as a Business Analyst in the Banking or Financial Services domain. - Proven experience in implementing systems such as AML Transaction Monitoring, Fraud Risk Management (FRM), and Early Warning Systems (EWS). - Strong understanding of banking data structures, credit risk, fund flow analysis, and fraud typologies. - Familiarity with external data integration for generating market intelligence. - Experience in functional documentation, UAT coordination, and stakeholder management. - Knowledge of regulatory frameworks such as RBI, SEBI, FIU-IND. - Excellent communication, analytical, and problem-solving skills. Tools & Technologies (Preferred): - Exposure to tools like SAS, Actimize, Amlock, rt360, or similar. - Experience with BI tools (Power BI, Tableau) and SQL / data querying tools is a plus. QUALIFICATIONS: - MBA, CA, or BTech (with previous experience in fraud management). Equal employment opportunity information **Note: This job description is a summary and may not encompass all details of the position.**,

Job Description :Must have skills : We are hiring for a Fraud Modelling Data Scientist role (Band B2/C1/C2) with strong experience in fraud detection, predictive analytics, and machine learning. Location: Pan India. Strong experience in fraud detection modeling , predictive analytics, and risk modeling Expertise in XGBoost , LightGBM , Random Forest , or similar algorithms Skilled in Python , SQL , and feature engineerin Proven track record in model development, validation, and deployment Please acknowledge the receipt of my email and confirm the following information. Current CTC: Expected CTC: Notice Period: Current Location: Preferred Location: Counter offer: Contact No. (Please mention alternative contact, if any):

Urgent Hiring for Fraud Analyst Experience- Minimum 6 Months on paper experience in Email or as a AML Analyst OR Fraud Analyst Undergraduate can apply. Shit- 24/7 , Any 9 hours, Package - 4.5 Lpa Immediate joiners. connect on HR Arti 9522754537 Required Candidate profile Excellent written and verbal communication is required 6 months experience is mandatory in banking AML or FRAUD Analyst graduate and undergraduate both can apply

Urgent Hiring for Fraud Analyst Experience- Minimum 6 Months on paper experience in Email or as a AML Analyst OR Fraud Analyst Undergraduate can apply. Shit- 24/7 , Any 9 hours, Package - 4 LPA Immediate joiners. connect on HR Vinayak : 911943854 Required Candidate profile Excellent verbal and written communication is required graduate and undergraduate both can apply with 6 months Aml or Fraud Analyst experience

Urgent Hiring for Fraud Analyst Experience- Minimum 6 Months on paper experience in Email or as a AML Analyst OR Fraud Analyst Undergraduate can apply. Shit- 24/7 , Any 9 hours, Package - 4.5 Lpa Immediate joiners. connect on HR Uma 7715020541 Required Candidate profile Excellent verbal and written communication is required graduate and undergraduate both can apply with 6 months Aml or Fraud Analyst experience

Hiring for fraud investigation for non voice process including, KYC ADD KYB FOR LEVEL 3 MANAYATA TECH PARK SAL:- 7.5 TO 8.5 CTC AND INCENTIVES JUST 2 ROUNDS OF INTERVIEW CALL SHAZAIA- 9035018914 OR MARIAM - 7259309098

Job description Profile -: Senior Associate ( Anti money laundering ) Languages req: Excellent English communication Requirement -: Good Communication Skills Exp-: 3- 6 yrs Shifts: Rotational , Location : Bangalore Job Overview: The AML Analyst/Officer/Investigator is responsible for supporting the company's efforts in detecting, preventing, and reporting money laundering activities. The role involves monitoring transactions, investigating suspicious activities, ensuring compliance with relevant laws and regulations, and preparing reports for regulatory bodies and senior management. Key Responsibilities: Transaction Monitoring: Monitor daily transactions for signs of suspicious activity, including large or unusual transactions, patterns of behavior, and activities that do not align with customer profiles. Analyze transaction data and review alerts generated by AML monitoring systems. Investigations and Due Diligence: Investigate suspicious activities, performing in-depth research using internal databases and external sources to gather relevant information. Conduct Know Your Customer (KYC) checks and Enhanced Due Diligence (EDD) on high-risk clients to verify their identity and assess potential risks. Follow up on red flags and escalate cases when necessary. Regulatory Compliance: Ensure compliance with anti-money laundering laws and regulations (such as the Bank Secrecy Act, FATF guidelines, and local regulatory requirements). Prepare and file Suspicious Activity Reports (SARs) and Currency Transaction Reports (CTRs) to relevant authorities in a timely manner. Stay up-to-date with regulatory changes and ensure policies are updated accordingly. Reporting and Documentation: Prepare and submit regular reports on AML activities, suspicious transactions, and investigations to management. Maintain accurate and thorough documentation of all investigations and actions taken. Training and Awareness: Assist in the development and delivery of AML training programs for staff, ensuring awareness of policies and procedures. Promote an AML culture within the organization and provide guidance to other employees on identifying and reporting suspicious activity. Collaboration with Teams: Work closely with the compliance, legal, risk, and operations teams to ensure a coordinated approach to AML efforts. Collaborate with external law enforcement agencies or regulators when necessary. Risk Management: Help identify, assess, and mitigate AML risks across the organization. Participate in risk assessments and internal audits to strengthen the institutions AML program. Qualifications: Education: Bachelors degree in finance, accounting, business, or a related field. Experience: 1-3 years of experience in an AML, compliance, or financial crime-related role (for Analyst roles). 3-5+ years of experience (for Officer/Investigator roles). Familiarity with AML regulations and financial services industry practices. Knowledge of financial crime typologies and techniques used by criminals to launder money. Certifications: AML certification such as CAMS (Certified Anti-Money Laundering Specialist) or similar is preferred. Other relevant certifications may be beneficial (e.g., CFE Certified Fraud Examiner, ICA International Compliance Association). Job Type: Full-time Qualification :Higher Secondary(12th Pass) / Any graduates (Note: All the rounds are Held through telephonic) Email : careers@glympsehr.com NOTE: - Please call or whatsapp Manya @6364863742 / 6364803282 / 9901777673 and schedule your telephonic interviews !! !!!Thanks & Regards HR TEAM!!!

About FCI: Financial Crime Intelligence (FCI) department has been created to enhance the Banks capabilities in prevention, detection and response to frauds against the Bank as well as our customers. This a centralized team that will focus on ensuring there is a strong feedback loop of learnings into improvement in practices, models and customer journeys, develop analytics and technological capabilities as a competitive advantage and deepen our focus on training to ensure fraud prevention at the frontline. With these objectives in mind, a new department Financial Crime Intelligence has been created with the Fraud Control Unit (FCU) and Digital Transaction Monitoring (DTM) being housed under the FCI department to ensure greater synergies. About the Role NCRP(National Cyber CRIME REPORTING PORTAL) is part of FCI department The Citizen Financial Cyber Fraud Reporting and Management System has been developed by the Indian Cyber Crime Coordination Centre brings together Law Enforcement Agencies Intermediaries on a single platform financial cyber frauds received by respective State/UT police officials. I4C, MHA is the platform provider. Complaints are lodged and handled by respective State Law Enforcement Agencies and assigned to respective Banks Department which works 24/7 Role & responsibilities Analyst need to action the cases assigned on NCRP portal with zero error Coordination with branch and statutory authorities Timely reporting of suspicious transactions and execution of instructions related to NCRP alert disposal from law enforcement agencies Timely revert to queries raised by branches and authorities Maintain daily MIS Ensure compliance with regulatory requirement related to NCRP Maintain current understanding of money laundering ,financing issues including processes, policies, procedures regulations and developing trends Qualifications Optimal qualification for success on the job is: • Graduate/PG in any discipline • Any relevant Certification will be an added advantage Role Proficiencies: For successful execution of the job, a candidate should possess the following: Role Proficiencies: Investigation skills Data Analytics People & social skills Language and presentation skills Cross functional stakeholder management About Axis Incorporated in 1994, Axis Bank is one of India's most trusted banks & the third largest in the private sector. At Axis Bank, customer centricity has always been the foundation of our business. Our efforts to address the requirements of a diverse customer cross-section are powered by robust infrastructure, advanced technology, a comprehensive monitoring & control framework & a large talent pool. The Bank has a young & engaged workforce of over 70,000 employees, with an average age of 30 years. We are an equal opportunity employer & believe in empowering our employees by offering rich roles, learning opportunities & flexibility to chart their career, their way.

Citi is seeking an energetic and motivated professional to join the Fraud Analytics team as a Spec Analytics Analyst 1. In this role, you will play a crucial part in preventing financial crime by collaborating with the strategy development team to test, validate, and execute various strategy changes and model deployments. Your primary responsibilities will include a strong understanding of system and user functionalities of various fraud orchestration engines such as Actimize (RCM/Actone), SAS Fraud Manager, Lexis Nexis/Threat Metrix, among others. It is desirable to have business knowledge in financial crime risk management and digital fraud to ensure seamless implementation of fraud rules and various traditional and machine learning model deployments with 100% accuracy. You will be responsible for developing policy rules and fraud strategies, collaborating with teammates to provide feedback on rule performance, trends, and volumes, as well as focusing on developing tactical and strategic solutions with high visibility for key stakeholders. Additionally, you will be involved in gap analysis to identify system weaknesses and actively work to close such gaps, developing and supporting fraud rule performance management tracking, and maximizing the capabilities of decisioning platforms through rule development. Other key responsibilities include conducting BAU-analysis on bad merchants and the manual check process, contributing to organizational initiatives, and working with various stakeholders during strategy development and execution. The ideal candidate should possess a Bachelor's degree in a quantitative discipline, a minimum of 5 years of hands-on experience in system execution, system testing, and analytics, proficiency in SAS/SQL (Oracle/Teradata), and good programming knowledge. Moreover, the candidate should have experience in model execution and governance in any domain, demonstrable analytic and problem-solving skills, ability to deliver projects in a fast-paced environment, strong communication skills, stakeholder management experience, basic knowledge of reporting and visualization tools like Tableau, and Actimize knowledge. It is preferred to have a background in strategy execution or control, ability to work independently, risk and control mindset, handle large volumes of transactional data, strong project management and organizational skills, and capability to handle multiple tasks and meet deadlines effectively.,

Responsibilities: 1. Closure of alerts with respect to AML 2. Recommending STRs on cases fit for STR filing 3. To do various transaction monitoring activities 4. Preparation and Updation of data for FIU reporting 5. Suggesting AML process improvement plans to eliminate gaps 6. Ensuring that the Bank complies with RBI regulations and provides necessary support to the Compliance function. Prime: Final Decision Making authority, accountable to the Management 1) Closure of AML alerts 2) Conduct trainings on RBI Compliances 3) Process Improvement Plans 4) Reporting and presentations on non- compliances Shared: Decisions reached jointly with peers on a collective basis 1) Documentation on AML procedures 2) Coordinate with internal auditor Contributory: Makes a major contribution to a decision or policy judgment reached by others Guidance to staff and various team members on AML related issues. Interested candidates can share their resume on harsh@beanhr.com/9045052072

Urgent Hiring for MNC for Model Validation role, which includes- Wholesale Fraud analytics model, Machine learning, model validation Experience in Wholesale IRB model development/validation Kindly send your updated CV at jatin@smrd.in

Openings for fraud and kyc for level 2 looking for grads with in 2 years of experience in fraud salary:- 7.5 ctc and incentives. if interested call- shaziya- 9035018914 or call sania-7829751189 or mail ur resume to- meet@izeemanpower.com

You are a global energy business involved in every aspect of the energy system, working towards delivering light, heat, and mobility to millions of people every day. You are one of the very few companies equipped to solve some of the big complex challenges that matter for the future. You have a real contribution to make to the world's ambition of a low-carbon future. Joining you means being part of what you can accomplish together, participating in the new ambition to become a net zero company by 2050 or sooner, and helping the world get to net zero. The Finance Team is looking for a Fraud Analytics & Detection Analyst to support the review of the global fraud analytics tool. This role involves providing timely, accurate, and reliable management information, including analysis, interpretation, and insight. You will review alerts, validate supporting documentation, relevant policies, approvals, and ERP systems to confirm suspected fraud or false positives. Running the end-to-end alert case management and providing relevant information/evidences for investigations in case of suspected fraud are also key responsibilities. Additionally, you will review data and parameters to minimize/reduce false positives, identify process and performance improvement opportunities, including process simplification and automation, and collaborate with various teams effectively. To be successful in this role, you should have 2-3 years of relevant post-degree work experience, be a self-starter capable of handling a multifaceted workload under time pressure, possess excellent communication skills to interact at all levels, demonstrate strong partner leadership skills, resilience to operate in a fast-paced environment, language and interpersonal skills, experience in reporting and auditing processes with a focus on fraud analytics, and the ability to identify key issues and aid in decision-making. The position requires a Bachelor's degree in a relevant finance/business field, absolute proficiency in business English, and is desirable for candidates qualified in a recognized national or international professional accountancy qualification. Travel requirements are negligible, and the role is eligible for relocation within the country. This position offers a hybrid of office/remote working. Please note that employment may be contingent upon adherence to local policy, which can include pre-placement drug screening, medical review of physical fitness for the role, and background checks.,