Genpact
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Senior Manager, Fraud Analytics & Data Science - Onsite in New York
Ready to build the future with AI?
At Genpact, we don’t just keep up with technology—we set the pace. 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, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at
genpact.com
and on LinkedIn, X, YouTube, and Facebook. Job Description : Inviting applications for the role of
Senior Manager, Fraud Analytics & Data Science Genpact is looking for a seasoned professional to join as a
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. Responsibilities : 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. 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. Advanced Analytics & Modeling: 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. 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. Explore and implement new technologies (e.g., graph analytics, behavioral biometrics, NLP) for advanced fraud detection. Stay current with fraud typologies, threat intelligence, and global fraud trends. Qualifications we seek in you! Minimum Qualifications Bachelor’s or Master’s in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field. Relevant 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.). Preferred Qualifications/ Skills Exposure to real-time fraud systems (e.g., SAS Fraud Management, Actimize, Falcon, etc.) is highly preferred. 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. Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together The approximate annual base compensation range for this position is $135,000 to $150,000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity Work-from-Anywhere Roles – “Los Angeles California-based candidates are not eligible for this role” Location-based Roles “Los Angeles, California based candidates are not eligible for this role. New York City, NY area candidates are eligible for this role only.” Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Finance Industries Banking Referrals increase your chances of interviewing at Genpact by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Analytics Manager jobs in
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genpact.com
and on LinkedIn, X, YouTube, and Facebook. Job Description : Inviting applications for the role of
Senior Manager, Fraud Analytics & Data Science Genpact is looking for a seasoned professional to join as a
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. Responsibilities : 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. 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. Advanced Analytics & Modeling: 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. 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. Explore and implement new technologies (e.g., graph analytics, behavioral biometrics, NLP) for advanced fraud detection. Stay current with fraud typologies, threat intelligence, and global fraud trends. Qualifications we seek in you! Minimum Qualifications Bachelor’s or Master’s in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field. Relevant 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.). Preferred Qualifications/ Skills Exposure to real-time fraud systems (e.g., SAS Fraud Management, Actimize, Falcon, etc.) is highly preferred. 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. Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together The approximate annual base compensation range for this position is $135,000 to $150,000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity Work-from-Anywhere Roles – “Los Angeles California-based candidates are not eligible for this role” Location-based Roles “Los Angeles, California based candidates are not eligible for this role. New York City, NY area candidates are eligible for this role only.” Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Finance Industries Banking Referrals increase your chances of interviewing at Genpact by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Analytics Manager jobs in
New York, United States . New York, United States $70,000.00-$420,000.00 6 days ago New York, NY $135,000.00-$165,000.00 1 week ago New York, NY $125,000.00-$150,000.00 19 hours ago New York, United States $120,550.00-$208,200.00 2 months ago New York, NY $185,000.00-$200,000.00 2 months ago Senior Manager Data Analytics and Insights
Business Intelligence & Analytics Manager
New York, NY $140,000.00-$160,000.00 1 week ago Associate Manager, Strategic Insights & Analytics - Yogurt
New York, NY $140,000.00-$160,000.00 2 weeks ago New York, NY $145,000.00-$160,000.00 3 weeks ago New York, NY $110,000.00-$130,000.00 2 weeks ago Director, Performance Analytics and Insights
Associate Director Quantitative Insights
Senior Manager Data Analytics and Insights
New York, NY $126,120.00-$209,880.00 3 weeks ago New York, NY $110,000.00-$130,000.00 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr