Genpact
AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re 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 that’s shaping the future, this is your moment.
Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
Inviting applications for the role of Manager/Senior Manager, Fraud Analytics & Data Science
Genpact is looking for a seasoned professional to join as a Manager/Senior Manager – Fraud Analytics & Data Science . This role is critical in driving data-driven fraud prevention strategies, developing advanced machine learning models, and delivering actionable insights to safeguard the bank’s products, platforms, and customers from evolving fraud threats.
This role sits at the intersection of fraud risk management, data science, and business strategy, working across various lines of business including Retail Banking, Payments, Cards, and Digital Channels.
Fraud Detection & Mitigation:
Build and enhance fraud detection systems using statistical and machine learning techniques.
Monitor real-time and batch data to proactively detect fraud trends, anomalies, and suspicious patterns.
Design and maintain fraud rules and scoring logic for transaction monitoring systems.
Develop supervised and unsupervised machine learning models for fraud prediction (e.g., logistic regression, decision trees, random forests, XGBoost, neural networks).
Perform data wrangling, feature engineering, model training, validation, and performance monitoring.
Use anomaly detection, clustering, and network analysis to detect sophisticated fraud behaviors.
Data Strategy & Infrastructure:
Work with data engineers and IT to ensure access to high-quality, real-time data feeds.
Design and build fraud-related data marts, dashboards, and alerting mechanisms.
Collaborate with fraud operations, compliance, IT, business units, and external partners.
Ensure alignment with regulatory expectations, model risk governance, and internal audit requirements.
Present insights and fraud risk updates to senior management and fraud committees.
graph analytics, behavioral biometrics, NLP) for advanced fraud detection.
Stay current with fraud typologies, threat intelligence, and global fraud trends.
Bachelor’s or Master’s in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
~5+ years of experience in fraud analytics, data science, or financial crime risk management within banking or fintech.
~ Hands-on experience building and deploying ML models in a production fraud detection environment.
~ Strong command of Python, R, SQL, and data science libraries (pandas, scikit-learn, TensorFlow, etc.).
Exposure to real-time fraud systems (e.g., SAS Fraud Management, Actimize, Falcon, etc.) Experience working with large datasets, Hadoop/Spark, and cloud platforms (AWS, GCP, Azure) is a plus.
Familiarity with tools like Tableau, Power BI, or similar for visualization and reporting.
and internal equity
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. Follow us on Twitter, Facebook, LinkedIn, and YouTube.
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.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.
Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
Inviting applications for the role of Manager/Senior Manager, Fraud Analytics & Data Science
Genpact is looking for a seasoned professional to join as a Manager/Senior Manager – Fraud Analytics & Data Science . This role is critical in driving data-driven fraud prevention strategies, developing advanced machine learning models, and delivering actionable insights to safeguard the bank’s products, platforms, and customers from evolving fraud threats.
This role sits at the intersection of fraud risk management, data science, and business strategy, working across various lines of business including Retail Banking, Payments, Cards, and Digital Channels.
Fraud Detection & Mitigation:
Build and enhance fraud detection systems using statistical and machine learning techniques.
Monitor real-time and batch data to proactively detect fraud trends, anomalies, and suspicious patterns.
Design and maintain fraud rules and scoring logic for transaction monitoring systems.
Develop supervised and unsupervised machine learning models for fraud prediction (e.g., logistic regression, decision trees, random forests, XGBoost, neural networks).
Perform data wrangling, feature engineering, model training, validation, and performance monitoring.
Use anomaly detection, clustering, and network analysis to detect sophisticated fraud behaviors.
Data Strategy & Infrastructure:
Work with data engineers and IT to ensure access to high-quality, real-time data feeds.
Design and build fraud-related data marts, dashboards, and alerting mechanisms.
Collaborate with fraud operations, compliance, IT, business units, and external partners.
Ensure alignment with regulatory expectations, model risk governance, and internal audit requirements.
Present insights and fraud risk updates to senior management and fraud committees.
graph analytics, behavioral biometrics, NLP) for advanced fraud detection.
Stay current with fraud typologies, threat intelligence, and global fraud trends.
Bachelor’s or Master’s in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
~5+ years of experience in fraud analytics, data science, or financial crime risk management within banking or fintech.
~ Hands-on experience building and deploying ML models in a production fraud detection environment.
~ Strong command of Python, R, SQL, and data science libraries (pandas, scikit-learn, TensorFlow, etc.).
Exposure to real-time fraud systems (e.g., SAS Fraud Management, Actimize, Falcon, etc.) Experience working with large datasets, Hadoop/Spark, and cloud platforms (AWS, GCP, Azure) is a plus.
Familiarity with tools like Tableau, Power BI, or similar for visualization and reporting.
and internal equity
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. Follow us on Twitter, Facebook, LinkedIn, and YouTube.
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.