196 Fraud Analytics Jobs - Page 3

Were Hiring: Investigation Ops Specialist Cybercrime Investigations Location: Hyderabad (Work From Office Mandatory) Experience: 3+ Years (Investigations / Cybercrime / Fraud Analytics / SQL) Employment Type: Full-Time Key Responsibilities - Conduct independent investigations to identify bad actor archetypes, modus operandi, and TTPs. - Deliver structured intelligence reports on fraud and abuse trends for senior stakeholders. - Perform OSINT investigations and provide actionable insights. - Analyze and identify emerging cybercrime patterns through data-driven methods. - Ensure strict compliance when handling sensitive information. What Were Looking For Must-Have Skills - 3+ years experience in abuse / fraud / financial crime investigations. - Strong expertise in fraud analytics & investigative research. - Proven ability in executive-level report writing. - Excellent written & verbal communication skills. - Experience as an Investigative Analyst with SQL proficiency. Good-to-Have Skills - Hands-on experience in OSINT & abuse investigation tools. - Ability to synthesize open-source intelligence into key findings. - Familiarity with corporate registries / public databases. - Strong data-driven problem-solving mindset. Qualifications - Degree from a recognized university. - Minimum 36+ months of relevant investigative experience. - Strong critical thinking and analytical mindset.

Urgently hiring for "AML" analyst - Minimum 1 yr of relevant experience (AML,KYC,Sanctions,PEP, Fraud) - Salary upto 34 k - Shifts 24*7 (Work from office) - 5 days working, 2 week offs - UG and Graduate both can apply HR Arti 9522754537 Required Candidate profile Excellent Verbal and written communication banking experience is mandatory

About bluCognition: bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery center based in Pune. We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world. Our clients are some of the biggest and the most progressive names in the financial services industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who want us to join in this exciting journey. Job Title: Fraud Analytics Analyst Mode of Work: Remote / Work from Home (WFH) Summary of the Role We are looking for an Analyst in Fraud Analytics who will play a key role in detecting, analysing, and preventing fraudulent activities using data-driven insights. The role requires strong analytical skills, proficiency in SQL and Python, and the ability to work with large datasets to identify patterns, anomalies, and risks. Roles & Responsibilities • Work with large datasets to identify suspicious patterns, anomalies, and potential fraudulent behaviour. • Develop SQL queries and Python scripts to automate fraud detection processes. • Collaborate with cross-functional to design and improve fraud prevention strategies. • Build dashboards, reports, and insights to support fraud investigation and business decisions. • Continuously monitor fraud trends and propose enhancements to detection methodologies. • Assist in testing and validating fraud models and rules. Qualifications: • 06 months of experience in a related field • Candidates from Tier 1 Colleges are expected to apply • Strong proficiency in SQL and Python. • Quantitative background in engineering, statistics, math, economics, business, or related disciplines • Possesses analytical mindset and strong problem-solving skills. Attention to detail and ability to multitask. • Comfortable working in a fast-paced environment and dealing with ambiguity. • Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. • Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

Job Title: Credit Card Sr. Risk Analyst Location: Hybrid Model - Bangalore (Preferred)/Gurgaon Job Type: Fulltime Years of Experience - 5+ years About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straives multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Website: https://www.straive.com/ Job Summary: The Credit Card Risk Analyst will play a critical role in shaping our risk management strategies and enhancing our product offerings. The ideal candidate will have a strong background in the credit card industry (preferably for US market), with a focus on credit card risk strategy, product development, and financial analytics. This position requires a blend of analytical skills, technical expertise, and strategic thinking to drive projects that improve our risk controls and overall product performance. Key Responsibilities: Develop and implement risk strategies for credit card products, ensuring alignment with business objectives and regulatory requirements. Conduct in-depth financial analytics to assess product performance, identify trends, and recommend actionable insights. Collaborate with cross-functional teams to design and enhance risk controls, ensuring robust governance and compliance. Utilize SQL and Python to extract, manipulate, and analyze large datasets, providing data-driven recommendations to stakeholders. Lead projects focused on product development, risk assessment, and strategic initiatives, ensuring timely delivery and alignment with business goals. Monitor industry trends and regulatory changes to proactively adjust risk strategies and product offerings. Prepare and present findings, reports, and recommendations to senior management and other stakeholders. Qualifications: Bachelors degree in Finance, Economics, Data Science, Engineering or a related field; Masters degree preferred. Minimum of 5 years of experience in the credit card industry, with a focus on risk strategy, product management, or analytics. Strong understanding of risk management principles, financial analytics, and product development processes. Proficient in SQL and Python; experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Excellent analytical and problem-solving skills, with the ability to interpret complex data and make informed decisions. Strong communication and presentation skills, with the ability to convey technical information to non-technical stakeholders. Proven ability to work collaboratively in a fast-paced, team-oriented environment.

Job Title: Collection Analytics (Manager) Location: Bangalore/Hyderabad/Noida/Chennai/Gurgaon Job Type: Fulltime Years of Experience- 5-10 years About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future- fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straives multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Website: https://www.straive.com/ Job Overview: Straive is seeking an experienced Manager - Collection Analytics to join our team. As a remote employee based in the USA, you will work closely with our team to improve our collection strategies and tactics. Roles and Responsibilities: • Develop and implement collection strategies and tactics based on data analysis and insights. - Analyze and interpret data to identify trends and opportunities for improvement. - Collaborate with cross-functional teams to develop and implement new collection processes. Analyze and interpret data to identify trends and opportunities for improvement. - Collaborate with cross-functional teams to develop and implement new collection processes Manage and mentor a team of collection analysts. - Monitor and report on collection metrics, including delinquency rates and recovery rates. - Communicate findings and recommendations to senior leadership. • • • • Risk-Based Collections: Risk scoring is often used to prioritize high-risk accounts for immediate action while allowing more lenient approaches for low-risk borrowers. • The use of advanced analytics can fine-tune this risk scoring process, allowing banks to focus resources where they are most needed. Collection Strategy Optimization: Data analytics driven collections optimization Performance Monitoring & Reporting: • • Advanced analytics tools provide real-time insights into the effectiveness of various collection strategies, teams' performance, and key performance indicators (KPIs) such as recovery rates, time to recovery, and operational efficiency. Dashboards can help in tracking progress and making quick adjustments to tactic. Skills Required: • • Bachelor's or Master's degree in a relevant field. 5-10 years of experience in collection analytics. - Strong analytical skills and experience working with large data sets. • • • • • Experience with statistical analysis and modeling. Strong communication and leadership skills. Ability to work independently and as part of a team. Knowledge of collection regulations and industry best practices. Proficiency in statistical software and programming languages (e.g., Python, R, SQL) and data visualization tools (e.g., Tableau, Power BI).

Department: Forensic Audit Designation: Senior Consultant \ Deputy Manager Location - Bangalore Qualifications: CA \ MBA \ LLB \ MSc Experience: 2 plus years of experience in forensic Non-FS sector in consulting i.e Manufacturing, Healthcare, Retail, FMCG, Pharmaceutical, Oil & Gas etc. Roles: Lead and oversee end-to-end fraud investigations, encompassing planning, data collection, analysis, and reporting. Develop and execute comprehensive investigation plans while ensuring alignment with client objectives. Collaborate and communicate with clients and internal stakeholders. Experience of working with forensic tools such as Intella, Relativity etc. Coordinate with diverse stakeholders to gather necessary data, documents, and insights critical to the investigation. Guide and manage team members, ensuring quality deliverables. Prepare detailed investigation reports with findings and recommendations. Prior experience in investigative interviews and working knowledge on external intelligence gathering activities, due diligence. Ability to present work documents / reports/ status updates to both internal and external stakeholders. Looking for candidates with Forensic experience. IA experience will be added advantage. Interested candidates can share their update resume on kirti.goyal@protivitiglobal.in

As a Senior Consultant in Product Management at TransUnion, you will have the opportunity to lead fraud detection and prevention efforts as a key member of the Global Fraud Analytics team. Your role will involve analyzing data, understanding markets, collaborating with cross-functional teams, and delivering fraud analytics products. You will work closely with stakeholders across data science, engineering, and business groups to develop new fraud detection algorithms and enhance existing fraud prevention systems. To succeed in this role, you should bring at least 7 years of experience in Data Analytics, Fraud Analytics, Product Management, or related fields. A Bachelor's degree in Computer Science, Data Science, or a related field is required, with certifications in fraud detection or cybersecurity preferred. A Master's degree in Business Administration is also preferred. You should have experience in leading fraud detection and prevention projects, along with in-depth knowledge of fraud detection techniques, machine learning, data analytics, and industry standards/regulations related to fraud prevention. Strict adherence to confidentiality and compliance with industry regulations and company policies is essential. You should have proven ability to analyze complex data, develop and maintain product roadmaps, and manage product backlogs. Additional qualifications include strong analytical and problem-solving skills, excellent communication and interpersonal skills, experience with agile methodologies and product management tools (e.g., JIRA), and the ability to thrive in a fast-paced, dynamic environment. In this hybrid position, you will perform job responsibilities both virtually and in-person at an assigned TransUnion office location for a minimum of two days a week. Your responsibilities will include collaborating with stakeholders to gather and define product requirements, overseeing the development and maintenance of a comprehensive product roadmap, strategically prioritizing and managing the product backlog, conducting market research and competitor analysis, providing leadership and guidance to data scientists and engineers, monitoring product performance metrics, and ensuring compliance with industry standards and regulations related to fraud detection and prevention. If you are looking for a challenging and rewarding opportunity to make a significant impact in the field of fraud analytics, then this Senior Consultant position in Product Management at TransUnion is the perfect role for you.,

As a Spec Analytics Analyst 1 at Citi, you will play a crucial role in preventing financial crime by collaborating with the strategy development team to test, validate, and implement various strategy changes and model deployments. Your primary responsibilities will include having a strong understanding of system and user functionalities of fraud orchestration engines like Actimize, SAS Fraud Manager, Lexis Nexis, and Threat Metrix. It would be beneficial to have business knowledge in financial crime risk management and digital fraud. Your key tasks will involve ensuring the seamless implementation of fraud rules and various traditional and machine learning models, developing policy rules and fraud strategies on Actimize Policy Manager UI, and collaborating with fraud strategy development teammates to provide feedback and validate rule performance, trends, and volumes. Furthermore, you will focus on developing tactical and strategic solutions with high visibility for key stakeholders, performing gap analysis to identify system weaknesses, and assisting in developing and supporting fraud rule performance management tracking. To excel in this role, you should hold a Bachelor's degree, preferably in a quantitative discipline, and have a minimum of 5 years of hands-on experience in system execution, testing, and analytics. Proficiency in SAS/SQL (Oracle/Teradata) programming is required, along with the ability to enhance SQL queries for data validation and analysis. Experience in model execution and governance in any domain will be advantageous. Additionally, you should possess strong problem-solving skills, excellent verbal and written communication abilities, and stakeholder management experience. Having a basic knowledge of reporting and visualization tools such as Tableau, as well as familiarity with Actimize (Policy manager, Platform list, profile reader, and writer), would be beneficial. A background in strategy execution or control is preferred, along with the ability to work independently, handle large volumes of transactional data, and demonstrate strong project management and organizational skills. Your capability to multitask, meet deadlines, and work effectively in a fast-paced environment will be essential for success in this role.,

As a Model Monitoring/Model Validation professional, you will be responsible for monitoring, validating, implementing, and maintaining regulatory models in the credit risk domain. Your role will involve helping with various aspects of model validation, performing necessary tests like model performance, sensitivity, and back-testing, and collaborating with the model governance team on model build and monitoring. You will work closely with cross-functional teams, including business stakeholders, model validation, and governance teams, to ensure the delivery of high-quality client services, including model documentations, within expected timeframes. To excel in this role, you should have a minimum of 2+ years of experience in executing end-to-end monitoring, validation, production, and implementation of risk model validation and monitoring. You should also possess an understanding of marketing and general analytics problems, and be able to manage assigned projects efficiently, ensuring accuracy and timely delivery of deliverables. Additionally, you will be responsible for training, coaching, and developing team members to enhance their skills and performance. The ideal candidate for this position should hold previous experience (2+ years) in analytics, preferably in the BFSI sector. You should have a good grasp of General Analytics and Fraud Analytics, along with a track record of problem-solving roles and involvement in strategic initiatives. Strong problem-solving skills will be essential to succeed in this role and contribute effectively to the model monitoring and validation processes.,

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